Uci Machine Learning Repository Student Performance Data Set Jobs in Usa
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Principal Research Scientist – AI & Machine Learning
Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.
We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.
Responsibilities:
• Serve as PI or co-PI on government-funded R&D programs.
• Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.
• Publish, present, and contribute thought leadership to the AI community.
• Mentor research staff and guide proposal development.
Requirements:
• PhD with 7+ years of research experience.
• Demonstrated leadership in ML, vision, or scientific computing.
• Record of funding, publications, and technical impact.
• U.S. Citizen or Permanent Resident.
Preferred:
• Experience with multimodal learning, uncertainty quantification, or causal inference.
Why Novateur?
Join a team that values creativity and initiative. At Novateur, you’ll lead transformative projects that redefine what’s possible in intelligent systems.
Company Benefits:
Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.
We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.
Join our not-for-profit organization that has provided over 100 years of housing and services to seniors with a commitment to quality care and service in a Christian environment.
Facility: Gss Nd Lakota Ctr
Location: Lakota, ND
Address: 608 4th Ave SW, Lakota, ND 58344, USA
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 40.00
Salary Range: $34.00 - $51.00
Pay Info: $20,000 Sign On Available
Job Summary
The MDS Nurse uses independent judgment in the planning, organizing, directing, and evaluation of activities of the professional and supportive nursing staff engaged in resident plan of care. Evaluates care provided to each resident and keeps care plans current. Is the direct lead in regards to the Resident Assessment Instrument (RAI) process. MDS Nurse assists in assessment and evaluation of potential admissions. Upon admission, quarterly and annual, the MDS Nurse completes resident assessments. Collaborates with the resident, family or advocate, other inter-disciplinary colleagues, including providers, to assure ongoing care of each resident to provide the best quality of life possible. When functioning on the floor, the Registered Nurse (RN) is responsible for utilizing the nursing process (assessment, diagnosis, outcomes/planning, implementation and evaluation) to provide individualized nursing care to patients. The RN demonstrates competency and practices within the full scope of nursing expertise/knowledge and utilizes appropriate age and population specific standards as designated in their assigned clinical setting. The RN cares for residents in all phases of preventative care, health maintenance, diagnosis, and treatment. The RN is responsible for the coordination of care, resident assessment, resident education and various other nursing interventions.
The RN may serve as charge nurse and delegate appropriate tasks to licensed and unlicensed assistive personnel that are within the job descriptions, skills, resident care needs, and the competence level of the delegate. As charge, the RN provides adequate assistance and support to delegates to ensure safe, reliable administration of resident care and resolution of care and service concerns.
The RN functions within the scopes and standards of nursing practice as outlined in the Nurse Practice Act and Administrative Rules in state of practice and licensure. The Professional Nursing Practice recognizes the Scope and Standards of Practice and the Code of Ethics for Nurses with Interpretive Statements as published by the American Nurses Association as the foundation of nursing care delivery and professional conduct.
Qualifications
Graduate from a National League of Nursing (NLN) or American Association of Colleges of Nursing (AACN) accredited nursing program is preferred. Bachelor’s Degree in nursing preferred.
Minimum of one-year experience working as licensed nurse with the senior population preferred. Specific services/positions may have additional education, training or experience requirements. Resident Assessment Coordinator-Certified (RAC-CT), management or supervisory experience preferred.
Currently holds an unencumbered RN license with the State Board of Nursing where the practice of nursing is occurring and/or possess multistate licensure if in a Nurse Licensure Compact (NLC) state. Obtains and subsequently maintains required certifications and completes required continuous education units (CEU) and competency training. Affiliation with an outside professional nursing organization is preferred.
Benefits
The Good Samaritan offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit .
The Good Samaritan is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to .
The Good Samaritan has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.
Req Number: R-0251186
Job Function: Nursing
Featured: No
Join our not-for-profit organization that has provided over 100 years of housing and services to seniors with a commitment to quality care and service in a Christian environment.
Facility: Gss Nd Lakota Ctr
Location: Lakota, ND
Address: 608 4th Ave SW, Lakota, ND 58344, USA
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 40.00
Salary Range: $34.00 - $51.00
Pay Info: $20,000 Sign On Available
Job Summary
The MDS Nurse uses independent judgment in the planning, organizing, directing, and evaluation of activities of the professional and supportive nursing staff engaged in resident plan of care. Evaluates care provided to each resident and keeps care plans current. Is the direct lead in regards to the Resident Assessment Instrument (RAI) process. MDS Nurse assists in assessment and evaluation of potential admissions. Upon admission, quarterly and annual, the MDS Nurse completes resident assessments. Collaborates with the resident, family or advocate, other inter-disciplinary colleagues, including providers, to assure ongoing care of each resident to provide the best quality of life possible. When functioning on the floor, the Registered Nurse (RN) is responsible for utilizing the nursing process (assessment, diagnosis, outcomes/planning, implementation and evaluation) to provide individualized nursing care to patients. The RN demonstrates competency and practices within the full scope of nursing expertise/knowledge and utilizes appropriate age and population specific standards as designated in their assigned clinical setting. The RN cares for residents in all phases of preventative care, health maintenance, diagnosis, and treatment. The RN is responsible for the coordination of care, resident assessment, resident education and various other nursing interventions.
The RN may serve as charge nurse and delegate appropriate tasks to licensed and unlicensed assistive personnel that are within the job descriptions, skills, resident care needs, and the competence level of the delegate. As charge, the RN provides adequate assistance and support to delegates to ensure safe, reliable administration of resident care and resolution of care and service concerns.
The RN functions within the scopes and standards of nursing practice as outlined in the Nurse Practice Act and Administrative Rules in state of practice and licensure. The Professional Nursing Practice recognizes the Scope and Standards of Practice and the Code of Ethics for Nurses with Interpretive Statements as published by the American Nurses Association as the foundation of nursing care delivery and professional conduct.
Qualifications
Graduate from a National League of Nursing (NLN) or American Association of Colleges of Nursing (AACN) accredited nursing program is preferred. Bachelor's Degree in nursing preferred.
Minimum of one-year experience working as licensed nurse with the senior population preferred. Specific services/positions may have additional education, training or experience requirements. Resident Assessment Coordinator-Certified (RAC-CT), management or supervisory experience preferred.
Currently holds an unencumbered RN license with the State Board of Nursing where the practice of nursing is occurring and/or possess multistate licensure if in a Nurse Licensure Compact (NLC) state. Obtains and subsequently maintains required certifications and completes required continuous education units (CEU) and competency training. Affiliation with an outside professional nursing organization is preferred.
Benefits
The Good Samaritan offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit .
The Good Samaritan is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1- or send an email to .
The Good Samaritan has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.
Req Number: R-
Job Function: Nursing
Featured: No
Join our not-for-profit organization that has provided over 100 years of housing and services to seniors with a commitment to quality care and service in a Christian environment.
Facility: GSS SD Canton Ctr
Location: Canton, SD
Address: 1022 N Dakota St, Canton, SD 57013, USA
Shift: 8 Hours - Day Shifts
Job Schedule: Full time
Weekly Hours: 36.00
Salary Range: $34.00 - $51.00
Job Summary
The MDS Nurse uses independent judgment in the planning, organizing, directing, and evaluation of activities of the professional and supportive nursing staff engaged in resident plan of care. Evaluates care provided to each resident and keeps care plans current. Is the direct lead in regards to the Resident Assessment Instrument (RAI) process. MDS Nurse assists in assessment and evaluation of potential admissions. Upon admission, quarterly and annual, the MDS Nurse completes resident assessments. Collaborates with the resident, family or advocate, other inter-disciplinary colleagues, including providers, to assure ongoing care of each resident to provide the best quality of life possible. When functioning on the floor, the Registered Nurse (RN) is responsible for utilizing the nursing process (assessment, diagnosis, outcomes/planning, implementation and evaluation) to provide individualized nursing care to patients. The RN demonstrates competency and practices within the full scope of nursing expertise/knowledge and utilizes appropriate age and population specific standards as designated in their assigned clinical setting. The RN cares for residents in all phases of preventative care, health maintenance, diagnosis, and treatment. The RN is responsible for the coordination of care, resident assessment, resident education and various other nursing interventions.
The RN may serve as charge nurse and delegate appropriate tasks to licensed and unlicensed assistive personnel that are within the job descriptions, skills, resident care needs, and the competence level of the delegate. As charge, the RN provides adequate assistance and support to delegates to ensure safe, reliable administration of resident care and resolution of care and service concerns.
The RN functions within the scopes and standards of nursing practice as outlined in the Nurse Practice Act and Administrative Rules in state of practice and licensure. The Professional Nursing Practice recognizes the Scope and Standards of Practice and the Code of Ethics for Nurses with Interpretive Statements as published by the American Nurses Association as the foundation of nursing care delivery and professional conduct.
Qualifications
Graduate from a National League of Nursing (NLN) or American Association of Colleges of Nursing (AACN) accredited nursing program is preferred. Bachelor’s Degree in nursing preferred.
Minimum of one-year experience working as licensed nurse with the senior population preferred. Specific services/positions may have additional education, training or experience requirements. Resident Assessment Coordinator-Certified (RAC-CT), management or supervisory experience preferred.
Currently holds an unencumbered RN license with the State Board of Nursing where the practice of nursing is occurring and/or possess multistate licensure if in a Nurse Licensure Compact (NLC) state. Obtains and subsequently maintains required certifications and completes required continuous education units (CEU) and competency training. Affiliation with an outside professional nursing organization is preferred.
Benefits
The Good Samaritan offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit .
The Good Samaritan is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to .
The Good Samaritan has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment.
Req Number: R-0251068
Job Function: Nursing
Featured: No
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About Wakefern
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.
Essential Functions
- Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
- Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
- Provide input for project plans and timelines to align with business objectives.
- Monitor project progress, identify risks, and implement mitigation strategies.
- Work with cross-functional teams and ensure effective communication and collaboration.
- Provide regular updates to the management team.
- Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
- Communicates and promotes the code of ethics and business conduct.
- Ensures completion of required company compliance training programs.
- Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
- Stays current through personal development and professional and industry organizations.
Responsibilities
- Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
- Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
- Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
- Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
- Ensure data solutions and data sources meet quality, security, and compliance standards.
- Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
- Provide technical training, documentation, and ongoing support to end users of data automation systems.
- Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.
Qualifications
- A bachelor's degree or higher in computer science, information systems, or a related field.
- Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
- Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
- Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
- Experience with workflow orchestration tools such as Cloud Composer or Airflow
- Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
- Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
- Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
- Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
- Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
- Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
- Hands-on experience with IBM DataStage and Alteryx is a plus.
- Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
- Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
- Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
- Familiarity with data modeling tools.
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
- Familiarity with DevOps practices for data (CI/CD pipelines)
- Strong knowledge and skills in data management, data quality, and data governance.
- Strong communication, collaboration, and problem-solving skills.
- Ability to work on multiple projects and prioritize tasks effectively.
- Ability to work independently and in a team environment.
- Ability to learn new technologies and tools quickly.
- The ability to handle stressful situations.
- Highly developed business acuity and acumen.
- Strong critical thinking and decision-making skills.
Working Conditions & Physical Demands
This position requires in-person office presence at least 4x a week.
Compensation and Benefits
The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.
Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.
Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements
Senior Data Scientist
We are seeking a Senior Data Scientist to drive strategic insights and enable data‑informed decision‑making through advanced analytics. In this role, you will partner closely with cross‑functional teams to tackle complex, ambiguous business challenges and translate data into clear, actionable recommendations.
The ideal candidate brings deep expertise in analytics and strategy, strong business acumen, and hands‑on experience with SQL, Python or R, and data visualization tools. You will leverage statistical and machine learning techniques, craft compelling data narratives, and influence stakeholders across the organization.
Responsibilities
- Partner with cross‑functional teams to frame ambiguous business problems and develop end‑to‑end analytical solutions.
- Apply statistical and machine learning techniques to uncover insights and drive strategic recommendations.
- Conduct full‑stack analytics using SQL, Python or R, and visualization tools (e.g., Tableau).
- Present findings and data stories through clear, compelling narratives tailored to diverse audiences.
- Serve as a strategic thought partner, influencing decisions without formal authority.
Required Skills & Experience
- 10+ years in an analytics and strategy‑focused role.
- Strong business acumen with the ability to think both strategically and operationally.
- Self‑starter mentality with high accountability and energy.
- Proven track record providing actionable insights to cross‑functional teams.
- Expertise with SQL, R or Python, and data visualization tools such as Tableau.
- Experience applying statistical and machine learning methods.
- Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
Nice‑to‑Have Qualifications
- Ability to navigate ambiguous, complex problems and translate analysis into clear, actionable insights.
- Experience leading organization‑wide strategic initiatives or transformative analytics projects.
- Master’s degree in a related field (Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences).
- Experience driving high‑impact analytics work in fintech or payments.
Compensation: $55-$60/hour
Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.
Percent time:
Percent time 10% to 100% time
Anticipated start:
Positions typically start in January, May, and August.
Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window
Open date: March 4, 2026
Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.
Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.
Please Note:
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.
The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.
We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.
If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.
The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.
Responsibilities Include:
Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.
Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.
Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.
Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.
Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.
Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.
Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.
Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Please note:
The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.
UC Berkeley has several policies and programs to support all employees as they balance work and family.
Program:
Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources
Course Descriptions: courses/datasci
Qualifications
Basic qualifications (required at time of application)
A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start)
Minimum 4 years of professional experience in the relevant field.
Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.
Preferred qualifications
An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.
10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.
Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.
Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.
Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.
Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.
Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.
Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.
Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):
- Applied Cloud Computing for Data Science
- Applied Machine Learning
- Applied Statistics(R)
- Capstone Projects - real-world projects and industry collaboration
- Computer Vision
- Data Visualization and Communication
- Deep Learning and Neural Networks
- Edge and IoT Data Science
- Experiments and Causal Inference
- Fundamentals of Data Engineering
- Generative AI
- Introduction to Data Science Programming (Python)
- Leadership in Data-Driven Transformation
- Machine Learning at Scale
- Machine Learning Systems Engineering
- Natural Language Processing with Deep Learning
- Privacy, Security, and Ethics in Data Science
- Regression and Time Series Analysis
- Research Design and Data Analysis
- Scalable Data Mining and Analysis
- Statistical Methods for Discrete Response, Time Series, & Panel Data
- Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.
The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.
Please indicate which class(es) you believe you are qualified to teach.
Teaching Evaluations, if available (Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05270
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA, or remote (US-based).
Position title:
Instructor (Non-Senate, Non-Tenure Track)
Salary range:
A reasonable estimate for this position is $4,000 to $6,000 per course. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors.
Percent time:
Part-time temporary appointments are offered by agreement on a course-by-course basis.
Anticipated start:
Classes are expected to begin in August for the fall term and January for the spring term.
Review timeline:
Applications are typically reviewed for fall course needs in April - June, and for spring course needs in August - October. Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration:
Position duration is dependent upon the length of each course. Appointments are renewable based on need, funding, and performance.
Application Window
Open date: May 28, 2025
Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, May 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
UC Berkeley Extension, the professional and continuing education division at the University of California, Berkeley, invites applications for a pool of qualified instructors to teach in-person professional post-baccalaureate courses for our Business, Data, and Innovation Visiting Student Programs. All courses are offered weekdays in-person on the UC Berkeley campus with some online instructional components. The pool will remain in place for nine months; those interested in remaining in the pool beyond the advertised final closing date must reapply. The number of these positions varies from semester to semester, depending on the needs of the department.
General Duties
We are seeking qualified applicants who possess subject matter expertise and/or interest in the following subjects/specializations (but not limited to).
Business Administration
- Accounting Foundations for Business
- Applied Economics for Business
- Marketing Management
- Organization and Management
Data Analysis
- Data Analytics Capstone
- Data Visualization
- Data Warehousing and Business Intelligence
- Introduction to Data Analytics
- Python for Data Analysis
Data Science
- Artificial Intelligence Foundations
- Data Science Capstone
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Machine Learning
- Machine Learning and Deep Learning
Entrepreneurship and Innovation Management
- Building a Business Plan
- Business Negotiating
- Business Process Modeling and Design
- Design Thinking and Prototyping
- Finance for Entrepreneurs
- Innovative Business Models for Entrepreneurs
- Leadership and Change Management for Startup Founders
- Leadership and Sustainable Strategies for Innovation and Growth
- Managing Product and Go-to-Market Strategies
- Marketing Research: Concepts and Techniques
Other Business, Data, and Innovation Subjects (please specify in your Instructor Information Form)
Instructor duties include but are not limited to:
- Complete mandatory training programs by deadlines established by UC Berkeley.
- Complete required administrative tasks in a timely manner including: updating and submitting syllabi using approved syllabus template; communicating required texts and materials; communicating classroom technology and support needs, etc.
- Make appropriate adjustments to continually improve the syllabus, curriculum and course materials. May be based upon programmatic and/or student feedback.
- Prepare and deliver course materials, lectures/presentations, and design learning assessments.
- Design interactive and motivational classroom activities to fully engage participants and to reinforce student learning.
- Stay current within the subject, discipline or field of practice.
- Use subject-matter expertise and leverage additional resources appropriately to enhance the curriculum.
- Utilize course support platforms, including the Canvas Learning Management System and Zoom Pro (as applicable).
- Communicate teaching objectives and specific learning outcomes to students, and clearly outline/explain the grading policies for the course.
- Respond to student questions and learning needs in a timely manner.
- Employ culturally competent and other relevant teaching methodologies in the classroom, including teaching non-native speakers and/or students with academic letters of accommodations for disabilities.
- Evaluate student achievement of specific learning outcomes and assign grades.
- Post final student grades to the transcript system within two weeks of course completion.
- Handle student inquiries about final grades and consult with Program Director/Manager as needed.
- Retain student records according to University policies.
Program: academic-areas/business/#!?tab=full-time-programs
Qualifications
Basic qualifications (required at time of application)
- Bachelor's degree (or equivalent international degree)
Additional qualifications (required at time of start)
- 3 or more years of professional industry work experience since degree, or 3 or more years of teaching experience since degree.
- All work must be performed in the United States, whether in person or online.
- For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. Due to the part-time, temporary nature of instructor positions, UC Berkeley Extension is unable to provide US visa/work permits for this position.
Preferred qualifications
- Advanced degree in subject area preferred.
- 5 or more years of professional industry work experience in course subject since degree.
- 5 or more years of teaching, training, mentoring, or coaching experience in course subject, within a U.S. corporate environment or at a U.S. college/university institution.
- Knowledge of federal and California state laws and regulations as applicable to the course subject.
- Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
- Experience teaching and/or developing academic content for online courses.
- Ability to convey conceptual and complex ideas and information.
- Effective verbal/written communication and presentation skills (English).
- Ability to collaborate with colleagues and work within a team environment.
- Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
Application Requirements
Document requirements
Curriculum Vitae or Resume - Your most recently updated C.V. or Resume.
Instructor Information Form - Download the Instructor Information Form PDF to your computer desktop and open it using the Adobe Acrobat application. It is not recommended to use an internet PDF viewer or Google Docs to complete this form. Complete, save, and upload the PDF form to your AP Recruit application.
Reference requirements
- References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
Apply link:
JPF04810
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Position title:
Instructor (Non-Senate, Non-Tenure Track)
Salary range:
The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $3,000 -$4,000 total per course. For an asynchronous Start Anytime Online course, this position is paid $165 per final student course grade submitted each month; a reasonable estimate ranges from $660 - $21,285 total per course; and monthly payments typically begin within 6 months after the course start date. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors.
Percent time:
Part-time by agreement on a course-by-course basis.
Anticipated start:
Some appointments may begin as early as the spring semester.
Review timeline:
Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply.
Position duration:
Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 10 to 12 weeks. For asynchronous online start anytime courses, agreement length typically ranges from 9 to 18 months. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability.
Application Window
Open date: November 21, 2025
Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.
UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.
Courses are offered online:
- Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
- Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
Course Subjects
We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.
Data Analytics and Data Science
- Introduction to SQL
- Introduction to Databases
- Data Warehousing and Business Intelligence
- Data Visualization
- Introduction to Data Analytics
- Python for Data Analysis
- R for Data Analysis
- Data Analytics Capstone
- Introduction to Big Data
- Introduction to Data Science
- Introduction to Machine Learning Using Python
- Machine Learning and Deep Learning
- Artificial Intelligence Foundations
- Data Science Capstone
Software Development and Advanced Software Development
- Introduction to C Language Programming
- C++ Programming
- First Course in Java
- Programming Python
- Data Structures and Algorithms
- Front-End Web Development
- JavaScript Frameworks
- Modern Web Applications and Cloud Computing
- Software Design Patterns
- Software Quality Assurance
- Software Development Capstone
- Java: Discovering Its Power
- Mastering Python
- Back-End Development with Java/Python
- Web Software Security Frameworks
- Advanced Databases
- Advanced Software Development Capstone
Cybersecurity
- Advanced Network Cybersecurity and AI Monitoring
- Cybersecurity AI Risk Management and Governance
- Automated Cybersecurity Incident Response and Digital Forensics
- Advanced Topics in AI Cybersecurity and Capstone
Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects
(please specify in your cover letter)
General Duties
The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).
- For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
- For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
- For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
U.S.A. Residency and U.S.A. Work Authorization
- All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all
Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses
Qualifications
Basic qualifications (required at time of application)
- Bachelor's degree or equivalent international degree required.
Additional qualifications (required at time of start)
- 5 or more years of professional industry work experience since degree.
Preferred qualifications
- 6 or more years of professional industry work experience in the course subject.
- Advanced degree in course subject preferred.
- Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
- Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
- Experience teaching online and/or developing academic content for online courses.
- Ability to convey conceptual and complex ideas and information.
- Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
- Effective verbal/written communication and presentation skills (English).
- Effective organizational skills with attention to detail.
- Ability to collaborate with colleagues and work within a team environment.
- Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
Application Requirements
Document requirements
Curriculum Vitae or Resume - Your most recently updated C.V. or resume.
Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
(Optional)Sample Syllabi and/or Teaching Evaluations (Optional)
Reference requirements
- References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
Apply link:
JPF05017
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco Bay Area, California, U.S.A.
Remote working/work at home options are available for this role.
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.
Percent time:
15% to 100%
Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.
Review timeline:
Applications will be accepted and reviewed for unit needs through November 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close November 2027; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window
Open date: June 10, 2025
Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.
About CDSS:
Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.
CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.
CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Responsibilities:
CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.
Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Division:
Qualifications
Basic qualifications (required at time of application)
Must have an advanced degree or be enrolled in an advanced degree program at the time of application.
Additional qualifications (required at time of start)
Advanced degree. Candidates must already be authorized to work in the United States.
Preferred qualifications
A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Reference requirements
- 3-4 required (contact information only)
Apply link:
JPF04959
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
