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Fulltime 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 ... S. on a full-time basis. The Company will not sponsor applicants for work visas. Notice on ...

Job Summary The Clinical Data Scientist will collaborate closely with research teams to address complex and high-impact clinical challenges. The ideal candidate will be well-versed in Python and AI ...

New

$90K/yr

Job Summary The Clinical Data Scientist will collaborate closely with research teams to address ... EXPERIENCE - 3 Years of Experience Employment Type: FULL_TIME

New

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 ...

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Fulltime Clinical Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Jul 17, 2026, the average yearly pay for fulltime 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.

How much do clinical data scientists make in the US?

Clinical data scientists in the US typically earn between $80,000 and $130,000 annually, with the median salary around $105,000. Salaries vary based on experience, education, location, and industry, and professionals often use statistical tools and programming languages like R or Python in their work.

Can data scientists make $300k?

Fulltime clinical data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or senior roles. Compensation varies based on location, employer, and individual expertise, with some professionals reaching this level through bonuses and stock options.

What is the difference between Fulltime Clinical Data Scientist vs Clinical Data Analyst?

AspectFulltime Clinical Data ScientistClinical Data Analyst
Required CredentialsTypically requires a Master’s or PhD in Data Science, Biostatistics, or related fieldsOften requires a Bachelor’s or Master’s in Data Analysis, Statistics, or related fields
Work EnvironmentEngages in advanced data modeling, machine learning, and predictive analytics within healthcare or pharma companiesFocuses on data cleaning, reporting, and basic analysis primarily in clinical trial or healthcare settings
Employer & Industry UsageCommonly employed by pharmaceutical companies, biotech firms, or healthcare tech organizationsWidely used in hospitals, research institutions, and clinical research organizations

The main difference is that a Fulltime Clinical Data Scientist performs advanced analytics and predictive modeling, requiring higher-level credentials, while a Clinical Data Analyst handles data reporting and basic analysis. Both roles are essential in clinical research but differ in complexity and technical expertise.

Is 40 too late for data science?

Fulltime Clinical Data Scientists and other data science roles often value skills and experience over age. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R, making age less of a barrier than in some fields.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Fulltime clinical data scientists often focus on identifying the most impactful variables and optimizing data preprocessing to improve model performance efficiently.
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What states have the most Fulltime Clinical Data Scientist jobs? States with the most job openings for Fulltime Clinical Data Scientist jobs include:
What job categories do people searching Fulltime Clinical Data Scientist jobs look for? The top searched job categories for Fulltime Clinical Data Scientist jobs are:
Clinical Data Scientist

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$130K - $160K/yr

Full-time

Re-posted 9 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.