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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 ...

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.

University of Florida

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Data Scientist IV Classification Minimum Requirements: A Bachelor's Degree in data science ... Leverage expertise in healthcare administrative and clinical data to support the design and ...

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

The Clinical Data Manager will plan and oversee all data management activities across assigned ... Bachelor's Degree in Data Science, Computer Science, Information Technology or related field OR ...

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 ...

Latica

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 ...

Latica

Senior Data Scientist

Palo Alto, CA

$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 ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

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Clinical Data Scientist information

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How much do clinical data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for 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 the main challenges clinical data scientists face in their day-to-day work?

Clinical Data Scientists often encounter challenges such as handling large, complex datasets from multiple sources, ensuring data quality and integrity, and staying compliant with strict regulatory standards like HIPAA or FDA guidelines. They must also translate clinical requirements into analytical models, which requires close collaboration with clinicians, biostatisticians, and IT teams. Balancing detailed statistical analysis with clear, actionable reporting is key, and adapting to evolving technologies and new data sources is a common part of the job. Successfully overcoming these challenges supports clinical research outcomes and helps advance patient care.

What skills and qualifications are needed to be a clinical data scientist?

To thrive as a Clinical Data Scientist, you need a strong background in statistics, data analysis, clinical research, and often a degree in life sciences, biostatistics, or a related field. Familiarity with programming languages such as Python or R, knowledge of clinical trial management systems (CTMS), and certifications like SAS or Clinical Data Management are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for collaborating with healthcare professionals and sharing data-driven insights. These skills help ensure the accurate interpretation and proper management of complex clinical data, which supports evidence-based decision making in healthcare.

How much do clinical data scientists make in the US?

Clinical data scientists in the US typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, education, and location. Advanced skills in statistical analysis, programming, and familiarity with healthcare data tools can influence compensation levels.

What is a clinical data scientist?

A Clinical Data Scientist analyzes healthcare and clinical trial data to extract insights that support medical research, drug development, and patient outcomes. They use statistical models, machine learning, and programming skills to interpret complex datasets and improve decision-making in clinical settings. Their work helps optimize trial designs, identify treatment patterns, and ensure data quality and regulatory compliance.

More about Clinical Data Scientist jobs
What cities are hiring for Clinical Data Scientist jobs? Cities with the most 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 Clinical Data Scientist jobs? States with the most job openings for Clinical Data Scientist jobs include:
What job categories do people searching Clinical Data Scientist jobs look for? The top searched job categories for Clinical Data Scientist jobs are:
Clinical Data Scientist jobs near you
Infographic showing various 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 yesterday

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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