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Clinical Data Scientist Jobs (NOW HIRING)

Clinical Data Scientist

Redwood City, CA · On-site

$132K - $226K/yr

N-Power Medicine is seeking a Clinical Data Scientist to own the final stage of its clinical data pipeline, transforming complex datasets from manual abstraction, AI models, and electronic sources ...

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 ...

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 ...

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 ...

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Clinical Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do clinical data scientist jobs pay per year?

As of Jul 15, 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 are the key skills and qualifications needed to thrive in the Clinical Data Scientist position, and why are they important?

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.

What is a Clinical Data Scientist job?

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.

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:
Infographic showing various Clinical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 72% Full Time, 18% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$130K - $160K/yr

Full-time

Posted 8 days ago


Job description

Clinical Data Scientist

Job Summary

The RedSail Technologies Network Services Business Unit 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 RedSail’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

  • Bachelor’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

  • Pharma/Pharmacy/Healthcare 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 employee’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.

Salary Range

  • $130,000-$160,000

Work Location

  • RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.