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Internship 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 ...

Ascension

Data Scientist

$96K - $134K/yr

Clinical and Population Health Analytics Schedule: Full-time | Day shift Salary: $96,208.99 - $134 ... internships, or projects. * Communication & Curiosity: Strong analytical problem-solving skills ...

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.

Newton Research

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

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 ...

The Tile Shop

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

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 ...

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Internship Clinical Data Scientist information

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$46K

$165K

$243.5K

How much do internship clinical data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for internship clinical data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Clinical Data Scientist vs Clinical Data Scientist?

AspectInternship Clinical Data ScientistClinical Data Scientist
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., biostatistics, data science)Advanced degree (Master's or PhD) often required
Work EnvironmentInternship programs, entry-level projects, supervisedFull-time, independent project work in healthcare or pharma companies
Employer & Industry UsagePharmaceutical companies, research institutions, biotech firmsSame as internship, but with more responsibility and experience
Search & Comparison IntentYes, for entry-level or learning rolesYes, for experienced roles

The main difference between an Internship Clinical Data Scientist and a Clinical Data Scientist is experience level and responsibility. Internships are designed for students or recent graduates gaining initial industry exposure, often with supervised tasks. Clinical Data Scientists are experienced professionals handling complex data analysis independently in healthcare and pharmaceutical settings.

What does an internship clinical data scientist do?

An Internship Clinical Data Scientist assists in managing and analyzing clinical trial data to support medical research and drug development. They work with large datasets, apply statistical techniques, and use programming tools to ensure data integrity and derive meaningful insights. Responsibilities may include data cleaning, statistical programming, and collaborating with cross-functional teams to interpret results. This role is ideal for students or recent graduates looking to gain hands-on experience in the intersection of healthcare and data science.

What types of projects and tasks can an internship clinical data scientist expect to work on during their internship?

As an Internship Clinical Data Scientist, you can expect to be involved in a variety of projects such as data cleaning, statistical analysis, and visualization of clinical trial data. Interns often support senior data scientists by preparing datasets, running quality checks, and assisting in the development of predictive models or dashboards. You may also participate in cross-functional meetings with clinical research teams to discuss data requirements and share insights. This collaborative environment helps interns gain exposure to real-world applications of data science in healthcare and build foundational skills for future career growth.

What are the key skills and qualifications needed to thrive as an internship clinical data scientist, and why are they important?

To thrive as an Internship Clinical Data Scientist, you generally need a background in statistics, computer science, or a related field, along with knowledge of clinical research methods. Familiarity with programming languages like Python or R, data visualization tools, and clinical data management systems such as SAS or SQL is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for ensuring data integrity, extracting actionable insights, and supporting evidence-based decision-making in clinical research.
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What cities are hiring for Internship Clinical Data Scientist jobs? Cities with the most Internship 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 Internship Clinical Data Scientist jobs? States with the most job openings for Internship Clinical Data Scientist jobs include:
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Internship Clinical Data Scientist jobs near you
Infographic showing various Internship Clinical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 73% Full Time, 17% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 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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