Cnd Life Sciences Jobs in Usa

Sughrue Mion, PLLC, a leading Intellectual Property law firm located in Washington, DC, is seeking an experienced Electrical Engineering/Computer Science Patent Attorney.

Purpose Statement: Assist with various tasks related to patent prosecution including all aspects of preparation and prosecution of patent applications, and research and analysis of technologies. Technology areas such as internet technologies, semiconductor design and manufacturing process, computer software and hardware, microprocessor circuits and systems, telecommunications, communications protocols and systems, and electrical circuits.

Education and Experience: Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science. Law degree from an ABA accredited law school and admission to at least one state bar (for attorney). Strong academic credentials. Registered to practice before the USPTO. Two or more years of substantial recent patent prosecution experience.

Experience as a patent examiner a plus.

Position Location:

This position is located in the Washington, DC office and is generally offered with a hybrid option of in-office and remote, as required.

Join a leading pharmaceutical company’s Data Science team, where you’ll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director (Or Sr Manager), A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you’ll lead strategic initiatives from predictive modeling and personalization to field force optimization, delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights.

Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI

Location: Onsite 3 days a week in Cambridge, MA

Key Responsibilities

• Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges
• Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access
• Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI
• Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation
• Guide stakeholders through insight activation and integration into workflows
• Champion model governance, experimentation, and analytical rigor
• Collaborate with IT to develop ML Ops environments and productized solutions
• Manage external analytics partners and ensure alignment across data engineering, insights, and compliance

Who You Are

A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact.

Qualifications

• 5+ years in analytics role within pharmaceutical industry
• Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization
• Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting
• Success in marketing mix modeling, decision engines, and GenAI product design
• Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau
• Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets
• Strong communicator with executive presence and cross-functional influence

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Immediate positions available to work with children with autism spectrum disorder and their families!

• $20.00 - $25.00 / hour
• Earn an additional $2.00/hour (premium pay) for hours worked in the home setting starting at 3 pm
• Increase for RBT certification
• Paid drive time / mileage reimbursement
• 401(k) plus company match
• Paid time off earned for every hour worked!
• Paid training

• LAUNCH career path - clear milestones with rewards including bonuses and promotions
• Referral bonus program
• Free continuing education opportunities
• Free CPR and safety training
• Employee assistance program including free financial advice, free counseling support, mental health resources
• Virtual office connection to hundreds of colleagues nationwide, and fun local events with colleagues in your area
• Learn transferable skills which open the door to great careers in behavior health

• Teach kids while playing, and following a treatment plan specific to that child
• Observe, play and collect data so you can write a progress note
• Help kids learn essential life skills such as motor skills, social skills, emotional skills and more
• Work on goals with child that help shape challenging behaviors into communication skills
• Make a difference in the life of a child!

• Paid prior experience working with kids (i.e. Camp counselor, daycare, nanny, school setting, ABA, etc) preferred
• Lots of energy, playful, creative, able to think on your feet
• Dependable - someone your client and their family can count on
• Ability to constantly get up and down off floor, move quickly
• Tech savviness - comfortable learning our data collection software and using Microsoft Office 365 (Excel, Outlook, Teams)
• Desire to learn, work independently, and provide the best quality care to our clients
• Interested in working with evidence-based methods based in science and proven effective

• Its in the wow moments that we find our purpose at ABS Kids. Our shared experiences are the milestones that influence our work. The mission of our work with children with autism and their families feeds our spirit. With every wow moment, we can see our impact grow.
• At ABS Kids we are empowered by the breadth of our differences. Our mission is to create a culture where all people thrive because their diverse stories are heard and celebrated. We commit to an evolving understanding of diversity as we learn from one another.
• We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

CA Job Applicant Privacy Notice

IBTI

Saint Xavier University prides itself on its Mercy mission and excellent teaching prowess. We are seeking adjunct faculty members to provide clinical practicum supervision.

SXU faculty are dedicated to high-quality teaching for its diverse student population. We strive to facilitate student success in learning, and to meet the individual educational needs of each individual within our student body.

The successful adjunct candidate will be committed to teaching in a multicultural environment and welcome the opportunity to work with students with diverse learning abilities. Opportunities may exist to teach a flexible schedule that may include teaching assignments during days, evenings, and weekends, as needed. Adjuncts can teach up to two sections of undergraduate courses per semester.

Adjuncts are paid by stipend on a biweekly basis beginning on the first payroll following the course add/drop date.

We invite you to join our team and submit your application today!

Adjunct Faculty instructors at Saint Xavier University are responsible for course planning and instruction in classroom, lab, and/or clinical settings. Courses may be conducted in various delivery modes, such as in-person, online, hybrid and/or blended formats, with a preference towards in-person instruction. In addition, adjunct faculty are responsible for student evaluation, departmental communication, and timely and accurate submission of required paperwork related to instruction.

• Ability to supervise both on campus and off campus at various Chicagoland locations.
• Master of Science Degree in Speech Language Pathology
• Certificate of Clinical Competence (CCC) through the American Speech-Language Hearing Association (ASHA)
• Current Illinois State Licensure through Illinois Department of Financial and Professional Regulation (IDFPR)
• Minimum of 2 years' experience in clinical service delivery after receiving Certificate of Clinical Competence.
• Recent speech language pathology practice is preferred
• Availability to work independently in late afternoon, evenings, and Saturday mornings preferred
• Work hours are during active fall and spring semesters (16-weeks each)
• Time management, dependability, and creative problem-solving skills required
• Excellent oral and written communication skills
• Strong abilities to integrate technology into clinical practice and supervision
• Enthusiasm toward serving a diverse student and client population

We inspire success by working together to provide meaningful, personalized service in a spirit of excellence. SXU seeks candidates that deliver value-added services in a responsive, collaborative, effective, and respectful manner.

The University is committed to diversity and encourages applications from individuals with a wide variety of backgrounds and experiences. Saint Xavier University affirms its position as a Catholic institution, inspired by the heritage of the Sisters of Mercy, and asserts its rights to employ persons who subscribe to the mission, vision, and core values of the university.

Saint Xavier University is an Equal Opportunity Employer that makes all decisions regarding recruitment, hiring, promotions, and all other terms and conditions of employment without discrimination on the grounds of race, color, creed, sex, religion, national or ethnic origin, age, physical or mental disability, veteran status or other factors protected by law. Hiring decisions will be based on the bona fide occupational qualifications of each applicant.

Open date: May 24, 2025

Most recent review date: Saturday, Jun 7, 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, Sep 30, 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 Department of Architecture at UC Berkeley invites applications for a pool of qualified lecturers or lecturers in lieu of GSI to teach non-studio courses in the following areas: Architectural History and Theory, Building Science, Structures, and Construction, 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), depending upon the needs of the Architecture department.

General Duties: In addition to teaching responsibilities, general duties include holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.

Applicants must hold a bachelor's degree, or equivalent international degree at time of application.

Masters in a related discipline (or equivalent international degree), or 3 years of university or college level teaching experience, or three years of related professional experience at the time of hire

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. The department is unable to provide a visa/work permit.

Three or more years teaching college level courses

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

  
  

• Statement of Interest - 2-4 pages total. Discuss your prior teaching experience in this subject area including your teaching approach and future teaching interests, and specific efforts and future plans to support the success of all students through curriculum, classroom environment, and pedagogy.

  
  

• Student Evaluations (Optional)

  
  

• 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
  

Under general supervision, provides a wide variety of moderately complex laboratory testing and technical lab support for a research facility. Requires knowledge of the processes/procedures in testing, documenting experiments, maintaining laboratory notebook, analyzing data, and reporting using complex statistical computer software.

Qualifications:

Bachelor's degree in related field of Science required;
2-4 year's research lab experience

Knowledge, Skills, Abilities:

Understanding of research methods, laboratory techniques, and care of laboratory equipment;

Ability to interpret data, troubleshoot and resolve technical issues;

Proficiency in Microsoft Office Suite to include Word, Excel; PowerPoint and Outlook;

Detail oriented;

Analytical skills;

Strong work ethic, excellent written and communication skills, and the ability to work independently;

Ability to work evenings, weekends, and holidays depending upon research needs

Physical Requirements:

Seeing: 75 - 100%

Hearing: 50 - 74%

Standing/Climbing/Mobility: 50 - 74%

Lifting/Pulling/Pushing: 25 - 49 % (pound: 15 lbs.)

Fingering/Grasping/Feeling: 75-100%

Travel: No

Exposure to Blood Borne pathogens: No and Yes

AAP/EEO Statement:

Creighton University is committed to providing a safe and non-discriminatory educational and employment environment. The University admits qualified students, hires qualified employees and accepts patients for treatment without regard to race, color, religion, sex, marital status, national origin, age, disability, citizenship, sexual orientation, gender identity, gender expression, veteran status, or other status protected by law. Its education and employment policies, scholarship and loan programs, and other programs and activities, are administered without unlawful discrimination.

Disclosure Statement:

This description describes the general nature of work to be performed and does not include an exhaustive list of all duties, skills, or abilities required. Regular, reliable attendance is an essential function and all employees are required to follow any other job-related instructions and to perform any other job-related duties as requested by their supervisor. Employees may also be required to work in excess of normal working hours as workloads and seasonal activities necessitate. A complete description is available in the Human Resource office located at 3006 Webster Street Omaha, NE. Creighton University reserves the right to modify duties, responsibilities and activities at any time with or without notice.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

The Manager - Data Science and Analytics plays a critical role in revenue and margin management for the Merchandising organization by performing various pricing analyses to exceed the financial targets. This highly visible individual will manage the daily and weekly promotions for print and digital marketing vehicles, so to be successful, strong analytical skills and business savviness is vital. This Team Member will develop and use analytics tools to draw insights and provides actionable recommendations while exhibiting higher-order critical thinking under ambiguous situations.

Major Activities

• Machine Learning Forecasting: Maintain, regularly run, and potentially adjust time-series forecasting pipelines with backtesting, accuracy diagnostics, drift detection, and ongoing monitoring.
• Pricing optimization: Maintain, regularly run and potentially adjust pricing/markdown optimization engines (e.g., Gurobi, CP-SAT), including feasibility checks, constraint adjustments, relaxations, and scenario analysis.
• Mathematical modeling: Translate new business rules (e.g., new constraints for pricing) into robust mathematical formulations.
• Production engineering: Maintain a modular codebase across forecasting, optimization, and data workflows; keep ensure code quality, test coverage, and documentation. Maintain overrides to handle data quality issues.
• Reporting & impact measurement: Own reporting for the pricing engine, turn recommendations into stakeholder-ready insights and quantify business impact.
• Cross-functional collaboration: Partner with Merchants and Pricing Advisory to translate business needs into features for retail pricing algorithm
• Develop and implement user-friendly analytics dashboards and tools that perform complex analysis manipulating large data sets to identify actionable business insights
• Initiate, partner with internal teams on process improvement initiatives
• Ad-hoc projects as identified by the supervisor

Other duties as assigned

Preferred Education/Experience

• Bachelor’s Degree or equivalent experience required.
• Advanced MS Excel required.
• Proficiency in forecasting and machine learning: Ability to build and deploy time-series forecasting models including feature engineering and robust backtesting & monitoring.
• Data manipulation and analysis: Strong ability to work with large datasets using Python (pandas/NumPy) and SQL, performing clean feature creation and diagnostic analysis.
• Data Engineering: Previous experience building DBT ETLs on cloud-based warehouses like BigQuery and working in Vertex AI.
• Problem-solving ability: Strong analytical skills to decompose complex business problems, balance solution quality vs runtime, and implement pragmatic fallbacks.
• Master’s degree in economics, data analytics, or math related field preferred

Minimum Type of Experience Required

• 7+ years of relevant work experience

Other

• SQL and Python required, Tableau or Power BI is preferred

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.