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Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Open date: October 14, 2025

Most recent review date: Friday, Nov 14, 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: Tuesday, Mar 31, 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.

The Environment

The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.

The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.

Responsibilities

The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.

The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.

The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.

UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.

The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.

UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.

This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.

UC Berkeley Library Website:

UC Berkeley Library statement of values: about/library-values

Advanced degree or enrolled in an advanced degree program.

• 
  
• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
  
• Demonstrated commitment to the Library's values.
  
• Demonstrated analytical, presentation, and communication skills.
  
• Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
  
• Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
  
• Participation in The Carpentries or other data science education program.
  
• Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
  
• Experience working collaboratively with multiple stakeholders in an academic environment.
  
• Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
  
• Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

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
  

Open date: February 24, 2026

Most recent review date: Tuesday, Mar 10, 2026 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: Friday, Mar 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.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientist at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of molecular and cellular microscopy research.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and across scales. Incumbent will advance imaging to generate petabytes of targeted and high quality datasets necessary to prototype and build this model. The Assistant/Associate/Full Project Scientists will help develop and execute the research program focused around ABC's overarching goal of moving cell biology away from the coverslip and into physiological systems. These positions will work within a dedicated team to develop and refine the microscopy techniques. This position will manage projects and provide regular progress reports to PIs and collaborators.

The incumbent will spend 90% of their time on ABC research goals and managing and maintaining equipment in the lab and 10% of their time training/supervising collaborators, graduate students and postdoctoral fellows on MOSAIC/iAOLLSM capabilities.

Key responsibilities:

*Make significant and creative contributions to designing, building, and testing of a new high throughput adaptive optical inverted lattice light-sheet microscope (iAO-LLSM). This instrument aims to achieve a 10-fold increase in data acquisition throughput while maintaining the high-quality optical performance demonstrated in our previous work.

*Use, maintain, and oversee the operations of the two next-generation multimodal optical scopes with adaptive imaging correction (MOSAIC) microscopes at the ABC.

*Actively participate in handling/mounting biological samples on advanced microscopes and collect 4/5D datasets.

*Collaborate with a cross-disciplinary team of AI scientists, data engineers, instrumentation scientists and biologists and generate high resolution microscopy data using novel transparent developing organism reagents necessary to reach the goal of prototyping and training a 4D foundation model.

*Actively participate in national and international collaborations, presentation of research findings at scientific conferences, and publication of results in leading peer-reviewed journals.

*The incumbent will actively participate in and occasionally lead efforts to develop new projects.

These positions are eligible for full benefits.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

*PhD (or equivalent international degree)

*Minimum of four years of postdoctoral research experience

*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience

*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience

*PhD or equivalent international degree in Physics, Chemical or Biological Engineering, Molecular and Cell Biology, Systems Biology, Biochemistry, or Related Field.

*Experience or expertise in light microscopy, spectroscopy, or laser optics.

*Experience or experience with adaptive optics and lattice light sheet microscopy.

*Experience or experience designing and building custom microscopes.

*Ability to troubleshoot microscopy instruments, prepare samples, design research methodology.

*Proficient with CAD programs for instrument design (e.g. Autodesk Inventor or Solidworks).

*Ability to explain concepts to a variety of audiences; and oversee a laboratory space or unit.

*A strong preference for a record of imaging, characterization and analysis of live cells and biological tissues.

*Experience with data and image processing, evaluating image quality, visualizing and analyzing image data.

*Experience making figures and movies with microscopy data for publishing articles.

*Experience collaborating with labs in a wide variety of areas.

*Experience executing large imaging projects (tens of terabytes to multi petabyte-scale)

*Experience leading technicians

*Ability to review research proposals and ideas, evaluate research capabilities, and make recommendations.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position.

  
  

• 3 required (contact information only)

Help contact:

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
  

Open date: February 2, 2026

Most recent review date: Monday, Feb 23, 2026 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: Friday, Jul 31, 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.

The Institute for Business and Social Impact at UC Berkeley seeks to hire a postdoctoral scholar who applies pioneering, rigorous empirical analysis to policy-relevant questions in applied economics, development, mental health, labor, or closely related fields.

We are especially interested in candidates whose work combines empirical causal inference, administrative or large-scale data, and topics related to development, labor markets, mental health (broadly defined, e.g., measurement, interventions, behavioral mechanisms, digital or light-touch mental health tools), or behavioral economics. We welcome applicants with strong foundations in empirical methods in economics and/or experience designing, implementing, or overseeing large-scale randomized controlled trials.

The ideal postdoctoral scholar will have demonstrated excellence in using modern empirical methods-including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal inference-to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who bridges applied microeconomics with behavioral and mental-health insights, using empirical and machine-learning tools to study social and economic policy.

Duties of Position:

The position offers direct engagement in new and exciting research opportunities and personal mentorship from faculty and researchers on the team. The postdoctoral scholar will gain an expanded network of collaborators and become a member of the UC Berkeley research community by actively participating in seminar series and internal workshops to present and receive feedback on their work.

The postdoctoral scholar will be expected to join and develop a research agenda in collaboration with their supervisor and Faculty Director, Paul Gertler, along with Laura Chioda, IBSI's Chief Data Scientist, and IBSI's network of researchers.

Ph.D. (or equivalent international degree), or enrolled in a Ph.D. or equivalent international degree program at the time of application.

* Ph.D. (or equivalent international degree) by the start date.

* No more than three years of post-degree research experience.

Ph.D. holders in economics and related fields specializing in applied microeconomics, development, mental health, or behavioral economics are invited to apply.

We particularly encourage applications from postdoctoral scholars whose work integrates theory-driven mechanisms with rigorous empirical analysis, including field experiments (RCTs) or the use of large-scale administrative datasets. Experience developing research projects in collaboration with non-academic stakeholders-such as NGOs, governments, or industry partners-is highly valued.

Preferred Technical & Professional Skills

* Advanced Programming: Proficiency in R, Stata, and/or Python.

* Computational Expertise: Familiarity with machine-learning methods for prediction and causal inference, including experience with unstructured data.

* Quantitative Foundation: Strong skills in econometrics and statistics, backed by advanced doctoral coursework.

* Data Management: Excellent organizational capabilities and experience managing complex datasets.

* Communication & Collaboration: Fluency in English with the ability to communicate research findings clearly and work effectively within a multi-disciplinary team.

Professionalism: High degree of self-motivation, flexibility, and the ability to manage multiple workstreams efficiently.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Writing Sample - Job Market Paper or one PhD dissertation chapter- or article length writing sample.

  
  

• Research Agenda - A 1-page summary of your research agenda non-technical language, suitable for a broad audience outside of your discipline

  
  

• 3-5 required (contact information only)

References should be from individuals who are familiar with the applicant's written work and qualifications for the position.

Help contact:

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
  

About Us 

Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals. 

Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early-stage startup, and we prioritize experimentation, innovation, and collaboration. 

The Role 

We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows. 

You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time. 

Responsibilities 

• Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement-related files) for internal Python models. 
• Operate and support internal Python models reliably, including troubleshooting and root-cause debugging. 
• Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient. 
• Build and maintain efficient data pipelines for recurring and ad-hoc analytics projects. 
• Automate data transformation and reporting workflows with clean, reusable code. 
• Support the preparation of audit-ready workpapers and other client-ready documentation. 
• Participate in internal and client meetings as needed to clarify goals and communicate findings. 
• Improve documentation, internal tools, and project templates. 

What Success Looks Like 

• You can run internal model workflows end-to-end with minimal oversight. 
• You can diagnose and resolve issues independently and improve reliability for the broader team. 
• You deliver meaningful improvements to performance, automation, and repeatability. 
• You are a strong team player who supports delivery execution and reduces friction. 

Required Qualifications 

• Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts). 
• Strong experience working with large datasets and performance constraints. 
• Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets). 
• Comfort in Jupyter notebooks and reproducible workflows (pandas required). 
• Proven debugging ability and strong analytical judgment. 
• Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred. 
• Clear communication and a collaborative working style. 

Nice to Have 

• Experience with healthcare data or hospital finance/reimbursement workflows 
• Familiarity with EPIC healthcare data 
• Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases) 
• SQL proficiency 

Location, Logistics, and Process 

• Nashville Hybrid or Fully Remote. 
• Background check required. 
• This role involves HIPAA-protected data and requires strict data security practices. 
• Interview process includes a Python technical assessment. 

Compensation & Benefits 

This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance-based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match. 

The City of Renton has an exciting opportunity for a Parks & Recreation Program Coordinator within the Parks & Recreation Department. This position plays a key role in supporting community events and programs for the City of Renton. In this position, you will manage the city's temporary event permit process, collaborate with event organizers, city departments, and community partners to ensure safe and successful events. You will also oversee grants and sponsorships that help bring Parks & Recreation initiatives to life. This is an opportunity to make a meaningful impact by supporting experiences that contribute to a thriving community.

If you have a minimum of 3 years of programming experience in recreation, health and wellness, or cultural arts and an Associate's degree in Recreation (or 5 years of relevant education and experience) this may be the position for you. Please see the minimum qualifications under Education, Experience, and License requirements for additional requirements.

EDUCATION, EXPERIENCE, AND LICENSE REQUIREMENTS:

• Associate's degree in Recreation or closely related field.
• Minimum of 3 years of related recreation experience.
• Or minimum of 5 years relevant education and experience.

• Valid Drivers' License.
• Successful passing of a required driving record check.
• Successful passing of a required background check.

Working for the City of Renton comes with an excellent benefits package, including:

• Deferred compensation with the city contributing 4% of the employee's salary.
• Medical, dental, vision and life insurance at affordable rates
• Paid leave for vacation, sick, eleven holidays and two personal holidays a year
• State of Washington Department of Retirement Systems Public Employee Retirement Systems (PERS) plan enrollment

ESSENTIAL FUNCTIONS:

• Manage, evaluate, and improve the Temporary Event Permit process to align with community demographics, the city's business plan, and staff recommendations.
• Review applications for completeness, accuracy, and compliance with Parks and Recreation and city policy.
• Ensure timely issuance, denial, or conditional approval of permits.
• Maintain organized records of applications, permits, and event outcomes.
• Provide technical assistance and support to event organizers throughout the permitting process.
• Assist with review and feedback on site plans, logistics, safety, and accessibility.
• Conduct post-event evaluations and incident reviews as needed.
• Coordinate and serve as a liaison with internal city departments, external organizations, and multi-department representatives for special events and projects.
• Identify, apply for, and manage local, state, and federal grant opportunities in support of Parks and Recreation programs, capital improvement projects, and community events for youth, adults, and seniors.
• Track grant reporting requirements and ensure compliance with funding terms.
• Develop, manage, and recruit sponsorship opportunities to support Parks and Recreation programs and events, including Renton River Days.
• Evaluate and recommend updates to sponsorship policies and procedures.
• Cultivate relationships with local businesses, foundations, and partners to secure financial and in-kind support.
• Maintain records of sponsorship agreements and recognition plans.
• Develop and maintain user-friendly materials, forms, and online resources to support the permit process and promote sponsorship opportunities.
• Track data and generate reports on event activity, sponsorship income, and grant performance.
• Evaluate and recommend improvements to increase program efficiency and accessibility.
• Contribute to an environment of teamwork and respect.
• Foster a culture of equity and inclusion by recognizing the diverse needs and perspectives of groups and individuals.
• Remain current with relevant technological advancements as it relates to field. Assist in training and/or coordination of training on new technological systems.
• Participate in and help provide cross-training in processes as directed by management to ensure a well-rounded team for coverage purposes. Implement new systems as needed.
• Maintain regular, reliable, and punctual attendance.
• Perform other duties as assigned.
• May be assigned to support City priorities during emergencies.

PHYSICAL DEMANDS:

• Drive to offsite locations to perform essential functions.
• Move throughout City facilities and buildings.
• Operate a computer and other office equipment.
• Communicate with City employees and residents.
• Lift or move items weighing up to 25 pounds occasionally.
• Bending, stretching, and standing for extended periods.

WORK ENVIRONMENT:

• Work is performed in an office environment (and outdoors in all weather conditions occasionally).
• Noise level out in the field is moderately loud.
• Noise level in the office is moderately quiet.
• Work evening and/or weekend hours as needed.
• Night meetings may be required.

Approved reasonable accommodation requests will be made to enable individuals with disabilities to perform the essential functions of the job.

Please consider visiting the City of Renton's Career Center for more information about our hiring process, benefits and other useful information. The City of Renton embraces a diverse and inclusive workforce and prides itself on promoting collaboration and teamwork in a positive environment while providing high quality services to the community. For more information about the City of Renton, please visit the following website: Why Renton

The City has adopted an anonymous application process that prevents hiring managers from seeing personal identifiers, including candidates' names, addresses, and other similar information. This eliminates the possibility of unintentional or implicit bias during the screening of applications. For that reason, you will not have the ability to attach any documents to your application, including a cover letter or resume. Please make sure to submit a complete, detailed, and updated job application.

Accommodation: Individuals needing accommodation in the application, testing, or interview process may contact at least 2 business days prior to the need.

Communication from the City of Renton:
We primarily communicate via e-mail during the application process. E-mails from and/or should be placed on your safe domain list to ensure you receive notifications in a timely manner. As a precaution, you may also want to check your junk e-mail folders. We also communicate via text and encourage you to sign up for text alerts when completing your job application.

Recruitment Process:
The screening process will include a review of minimum qualifications and applicants selected for an interview will be invited via email to self-schedule a time through the Government Jobs account. At minimum, this position will be subject to a standard criminal background check and professional reference check. This position requires driving and is also subject to a driving record check from the WA State Dept of Licensing (or other state equivalent). Driving records will be evaluated based on a points system depending on the infraction and severity.

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the well-being of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, GA

About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology

The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report.

In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree.

Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia.

ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.

1. Research Leadership in Foundation Models, World Models, and Frontier AI

• Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments.
• Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models.
• Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.

2. Lab Management and AI Compute Infrastructure Operations

• Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation.

3. Affiliate Engagement, Business Development, and Partnerships

• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.

4. Project Management and PhD Mentorship

• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning.
• Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

Research Scientist/Engineer I

Bachelor's Degree in Electrical Engineering, Physics, or related area.

Research Scientist/Engineer II

• A Master's degree and three (3) years of relevant full-time experience after completion of that degree,
• A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree.

Senior Research Scientist/Engineer

• A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,
• A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or
• A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

• PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
• Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
• Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
• Demonstrated experience mentoring students or leading technical AI teams.
• Strong communication and presentation skills for both technical and non-technical audiences.

Linda Dillon, Lucretia Allen or Shalonda Williams at

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

About the Company

Advanced Inhalation Rituals – AIR is a leading innovator in the premium shisha, hookah, and tobacco accessories industry. Our mission is to redefine the ritual of social smoking through craftsmanship, innovation, and compliance excellence. From hookah brands to next-generation and lifestyle products, AIR combines tradition with technology to deliver elevated consumer experiences across global markets. The Americas operate across the U.S., Latin America, South America and parts of the Caribbean serving both B2B and B2C channels with a focus on quality, integrity, and growth. Our team is driven by an entrepreneurial spirit and a commitment to operational excellence, collaboration, and continuous improvement. At AIR, you'll join a fast-growing company where innovation meets culture, and where every team member contributes to shaping the future of modern inhalation rituals.

About the Role

AIR is seeking a Merchandising Specialist to support the execution of on-site merchandising and promotional activities for our ecommerce websites. This role plays a key part in maintaining an accurate, engaging, and commercially effective digital experience ensuring the right products, content, and campaigns are presented to the right audiences at the right time.

The Merchandising Specialist will be responsible for building and maintaining product listings, category structures, homepage modules, and promotional banners within Magento. This individual will collaborate cross-functionally with Marketing, Category Management, and Sales to bring campaigns, launches, and assortments to life online.

Responsibilities

Site Merchandising & Content Execution

• Build and maintain product listings, ensuring accuracy in images, descriptions, attributes, and pricing.
• Configure and update category structures, navigation menus, and filters across both ecommerce sites.
• Support execution of homepage updates, promotional banners, and seasonal campaign placements.
• Implement cross-sell and upsell strategies within key categories to drive conversion and AOV.
• Ensure site content is aligned with promotional calendars, product launches, and commercial priorities.

Campaign & Promotional Support

• Partner with the Digital Merchandising & Experience Manager to execute on-site elements for campaigns, promotions, and new product launches.
• Coordinate with Marketing and the Email Agency to align creative assets and messaging across channels.
• Monitor campaign execution and troubleshoot any site or asset issues to ensure timely, accurate updates.

Quality Assurance & Site Health

• Conduct regular audits of product data, imagery, links, and category placements to ensure a flawless customer experience.
• Validate product availability, pricing accuracy, and promotional display across both desktop and mobile experiences.
• Identify and correct issues that impact search, filtering, or conversion performance.

Cross-Functional Collaboration

• Work closely with the Category Manager to onboard new products and categories efficiently.
• Collaborate with the B2B Commercial team to align on promotions and bulk-buy offers.
• Provide feedback to developers and IT on site enhancements, functionality issues, and optimization opportunities.

Reporting & Continuous Improvement

• Track key merchandising metrics such as product availability, click-through, and conversion.
• Share insights on product performance and customer browsing behavior to inform category and promo strategy.
• Support testing and optimization initiatives to improve UX and onsite engagement.

Qualifications

• Education: Bachelor's degree in Business, Marketing, or related field preferred
• Experience: 2-4 years of experience in ecommerce merchandising, site operations, or digital content management. Hands-on experience with Magento (or similar eCommerce CMS) required. Familiarity with PIM systems, basic HTML, and digital asset management workflows.

Required Skills

• Strong attention to detail and commitment to accuracy.
• Solid understanding of ecommerce merchandising principles and user experience.
• Highly organized with the ability to manage multiple campaigns and deadlines.
• Strong communication and collaboration skills across departments.
• Proactive problem-solver with a continuous improvement mindset.

What Success Looks like in this Role

• Success in this Role: Flawless, timely execution of promotions, product launches, and merchandising updates.
• Consistent accuracy across all product and category content.
• Smooth coordination between marketing, category, and sales teams during campaigns.
• Contributing to measurable improvements in conversion, engagement, and overall site performance.

Job description:-

Position: Gen AI Engineer

Location: Irving TX

Duration: 12+ months

Job Overview

In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI with a proven track record of successfully delivering complex technology projects.

Required Technical Skills

Deep knowledge of LLMs and advanced fine-tuning techniques. Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning), full fine-tuning, instruction tuning, and agentic AI techniques (RLHF, multi-task learning).

Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA). Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM.

Adept at advanced prompt engineering techniques and best practices. Familiarity with frameworks that facilitate effective prompt design and management.

Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering.

Proficiency in TensorFlow, PyTorch, and Keras. Knowledge of distributed training, parallel processing, and extensive hands-on experience with AWS services for AI/ML.

Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling). Experience with Transfer Learning, Few-shot, and Zero-shot learning. Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for MLOps.

Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets. Experience with real-time AI applications, streaming data, and designing RESTful APIs for model integration.

Experienced with LangGraph, Autogen, , LangChain, LlamaIndex, and Hugging Face Transformers. Familiarity with Gen AI APIs (OpenAI, Gemini, Claude) and version control systems like Git.

Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework).

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Note: Dexian Canada will, on request, provide accommodations for disabilities to support your participation in all aspects of our Recruitment and Assessment/Selection Processes.