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Full Time Clinical Data Scientist Jobs (NOW HIRING)

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined ...

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Staff Full-Time Location: Main Campus (Gainesville, FL) Categories: Health Care Administration ... Leverage expertise in healthcare administrative and clinical data to support the design and ...

MSD

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

Apex Informatics

Data Scientist

Partner with clinicians and researchers to identify key challenges and translate them into data ... Stay current on the latest advancements in healthcare data science and machine learning.

ZS

Clinical Data Manager

Philadelphia, PA · On-site

ZS's R&D Excellence Practice brings together experts in Strategy, Clinical Execution, Data Sciences and Technology to empower client organizations achieve their passion for patient care, science and ...

Agilent

Bachelor's Degree in Data Science, Computer Science, Information Technology or related field OR ... The full-time equivalent pay range for this position is $105,280.00 - $197,400.00/yr plus ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

Latica AI

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

Latica is a community data network and clinical AI platform that enables to safely access de ... Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI ...

Onos

Lead Data Scientist

San Francisco, CA · On-site

$200K - $225K/yr

This is a highly strategic and hands-on role at the intersection of data science, product, and clinical operations. As Onos' lead data scientist, you'll own the development of our core analytics and ...

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Full Time Clinical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do full time clinical data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time clinical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by full time clinical data scientists when working with clinical trial data?

Full Time Clinical Data Scientists often encounter challenges such as managing large, complex datasets from multiple sources, ensuring data quality and integrity, and complying with strict regulatory requirements. Navigating missing or inconsistent data, integrating various data formats, and maintaining patient privacy are also frequent hurdles. Collaborating effectively with clinicians, statisticians, and regulatory teams is essential to address these issues and foster accurate, timely analysis that supports clinical decision-making.

What are the key skills and qualifications needed to thrive as a full time clinical data scientist?

To thrive as a Full Time Clinical Data Scientist, you need a solid background in statistics, data analysis, and biomedical sciences, typically supported by a relevant degree (such as in biostatistics, computer science, or a related field). Familiarity with programming languages like Python or R, clinical trial data standards (e.g., CDISC), and statistical software (such as SAS) is commonly required. Exceptional problem-solving, communication, and collaboration skills help you interpret complex data and work effectively with multidisciplinary teams. These competencies are crucial for ensuring accurate data-driven insights that support clinical research and ultimately improve patient outcomes.

What is the difference between Full Time Clinical Data Scientist vs Part Time Clinical Data Scientist?

AspectFull Time Clinical Data ScientistPart Time Clinical Data Scientist
Work HoursTypically 40 hours/week, full-time commitmentFewer hours, often less than 20 hours/week
Employment StatusFull-time employee, benefits usually includedPart-time employee or contractor, limited benefits
ResponsibilitiesComplete project lifecycle, data analysis, model developmentAssists with specific tasks, limited project scope
Work EnvironmentUsually in a corporate or research setting, collaborative teamsFlexible, may work remotely or on specific projects

The main difference between a Full Time Clinical Data Scientist and a Part Time Clinical Data Scientist lies in work hours, employment benefits, and scope of responsibilities. Full-time roles offer comprehensive involvement in projects with full benefits, while part-time roles provide flexibility with limited hours and responsibilities.

What is a full time clinical data scientist?

Full Time Clinical Data Scientists are professionals who analyze and interpret complex clinical data, often within healthcare or pharmaceutical organizations. They use statistical methods, programming, and data management tools to ensure the accuracy, integrity, and usability of clinical trial or patient data. Their work supports research, regulatory submissions, and improved patient outcomes by translating data into actionable insights. Typically, they collaborate with clinical researchers, biostatisticians, and IT teams to manage and analyze large datasets on a full-time basis.
More about Full Time Clinical Data Scientist jobs
What cities are hiring for Full Time Clinical Data Scientist jobs? Cities with the most Full Time Clinical Data Scientist job openings:
What are the most commonly searched types of Clinical Data Scientist jobs? The most popular types of Clinical Data Scientist jobs are:
What states have the most Full Time Clinical Data Scientist jobs? States with the most job openings for Full Time Clinical Data Scientist jobs include:
What job categories do people searching Full Time Clinical Data Scientist jobs look for? The top searched job categories for Full Time Clinical Data Scientist jobs are:
Full Time Clinical Data Scientist jobs near you
Infographic showing various Full Time Clinical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior AI Data Scientist I

Exelixis

Alameda, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

SUMMARY/JOB PURPOSE
The Senior AI Data Scientist I develops, trains and validates AI/ML models and analytics solutions that transform complex clinical datasets into analysis-ready deliverables supporting drug-development decisions. Leveraging statistical programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data pipeline. This position exists to advance the organization's AI/ML and data science capabilities across clinical development - collaborating with Statistical Programming, Clinical Data Management, and Clinical Operations to accelerate data-driven insights, improve data infrastructure, and ensure the accuracy and reproducibility of analytical outputs that inform study-level and portfolio-level decisions.
ESSENTIAL DUTIES/RESPONSIBILITIES
  • Build, train and validate machine-learning models (supervised and unsupervised) on clinical datasets under the direction of senior data scientists, ensuring model performance meets predefined acceptance criteria.
  • Execute data cleaning, transformation, and standardization tasks across clinical datasets from EDC, vendor and real-world data sources, aligning outputs with CDISC (SDTM/ADaM) standards.
  • Develop and maintain LLM-based and generative AI-workflows for automated TLF review and ad-hoc analytical queries, applying human-in-the-loop validation to ensure output reliability.
  • Create interactive dashboards and visualizations that support clinical data review, study-health monitoring, and decision-making across cross-functional stakeholders.
  • Execute data validation checks and quality-assurance procedures to ensure accuracy, reproducibility and compliance of analytical outputs with GxP requirements.
  • Support the development and maintenance of data pipelines on Databricks and AWS cloud infrastructure, applying version control (Git/GitHub) and CI/CD best practices.
  • Collaborate with Statistical Programming, Clinical Data Management, and Clinical Operations to deliver AI/ML project milestones and address study-level data needs.
  • Prepare and maintain documentation of model development, data transformation, and validation activities consistent with SOPs and work instructions.
  • Drive external scientific visibility and publication objectives by contributing to manuscripts, conference presentations and white papers that showcase clinical AI/data science innovations.
  • Pursue continuous professional development in emerging AI/ML techniques, cloud-based data platforms, and clinical data science methodologies to advance team capabilities.
  • Performs other duties as assigned
  • Complies with all policies and standards

SUPERVISORY RESPONSIBILITIES
  • None

EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES
Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or,
  • Master's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 5 years of experience; or,
  • Equivalent combination of education and experience.

Experience
  • With PhD: No prior experience applying AI/ML methods to structured or unstructured data.
  • With Master's degree: A minimum of one (1) year of experience applying AI/ML methods to structured or unstructured data.
  • With Bachelor's degree: A minimum of three (3) years of experience applying AI/ML methods to structured or unstructured data.
  • Without degree: A minimum of seven (7) years of relevant professional experience, including demonstrated application of AI/ML methods to structured or unstructured data.

Knowledge, Skills and Abilities
Required:
  • Intermediate proficiency in Python (Pandas, NumPy, scikit-learn) for data manipulation and model prototyping.
  • Intermediate proficiency in R for statistical analysis and visualization.
  • Basic proficiency in SQL for data querying and transformation.
  • Intermediate understanding of supervised and unsupervised learning fundamentals, including model evaluation.
  • Basic familiarity with NLP, text mining and/or time series analysis techniques.
  • Basic familiarity with LLM APIs and prompt engineering concepts.
  • Basic knowledge of Databricks notebooks and Delta Lake concepts.
  • Basic familiarity with AWS cloud services (S3, Lambda, Glue).
  • Basic understanding of data pipeline concepts and data integration fundamentals.
  • Intermediate proficiency with version control (Git/GitHub) and project tracking tools (Jira).
  • Intermediate proficiency with BI platforms including Spotfire, Tableau and/or Power BI.
  • Basic understanding of the clinical development process and regulatory requirements (ICH, GxP).
  • Basic familiarity with CDISC data standards (SDTM, ADaM) concepts.
  • Ability to communicate technical concepts clearly to diverse audiences.
  • Strong collaboration and teamwork skills in a cross-functional environment.
  • Attention to detail and organizational skills.
    #LI-JP1

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $143,500 - $203,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors.
In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.
If you have a disability and need an accommodation in relation to the application and/or recruitment process, please email us at: recruiting@exelixis.com
WORKING CONDITIONS:
Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace.
DISCLAIMER:
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

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