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Internship Clinical Data Scientist Jobs (NOW HIRING)

Clinical Data Scientist

Spartanburg, SC ยท On-site

$140 - $145/hr

The Clinical Data Scientist, will participate in the making use of RedSail's data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program ...

$140 - $145/hr

The Clinical Data Scientist, will participate in the making use of RedSail's data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program ...

Experience in molecular and clinical data analysis. * Experience in searching through and understanding scientific and regulatory literature. * Experience in working independently in a fast-paced ...

Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning ...

Senior Clinical Data Scientists at Unlearn build world-class data products that underpin advances in machine learning for clinical research. Working in close collaboration with machine learning ...

Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data exploration and extract relevant clinical features. * Apply LLM-based feature engineering to ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

NLM Data Scientist

Bethesda, MD ยท On-site

$100K - $115K/yr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Background in clinical data analytics and healthcare informatics * Experience with data ...

NLM Data Scientist

Bethesda, MD ยท On-site

$110 - $150/hr

Data Scientist Lexical Intelligence provides software and services related to processing large ... Background in clinical data analytics and healthcare informatics * Experience with data ...

Senior AI Data Scientist I

Alameda, CA ยท On-site

$143.50 - $203/hr

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 ...

Clinical Data & Scientific Analysis * Work directly with patient-level EHR data to understand ... clinical events, care pathways, and how care delivery is represented in the underlying data.

Showing results 21-40

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 Sep 7, 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 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.

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.

More about Internship Clinical Data Scientist jobs

What cities are hiring for Internship Clinical Data Scientist jobs?

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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:

Infographic showing various Internship Clinical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 19% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Clinical Data Scientist

QS/1 Data Systems

Spartanburg, SC โ€ข On-site

$140 - $145/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

Spartanburg, SC
Spartanburg, SC 29306, USA

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSailโ€™s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelorโ€™s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employeeโ€™s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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