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Data Science Pharma Jobs (NOW HIRING)

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

... pharma data. * Contribute to the design and implementation of a large-scale supply chain data ... Integrate data science and generative AI models into customer-facing SaaS products within the life ...

Waters Corporation

Senior Scientist Pharma

Milford, MA · On-site +1

$100K - $137K/yr

Overview The Senior Scientist - Pharma helps provides scientific leadership across the Pharma ... Ensures scientific rigor, robustness, and reproducibility of data generated across the program.

Norstella

Senior Data Scientist

Job Summary Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a ...

ZS

Advanced Data Science Manager

Princeton, NJ · On-site

$225K - $240K/yr

What you'll do: Advanced Data Science Manager in AI will... * Lead and mentor a team of data ... Relevant domain knowledge preferred; (healthcare, pharma); * Excellent oral and written ...

CYNET SYSTEMS

Data Scientist

Rahway, NJ · On-site

$55 - $60/hr

Pay Range: $75hr - $80hr Requirement/Must Have: * 1+ years of strong core data science and machine ... Experience in regulated or manufacturing/pharma settings. * Practical delivery of production GenAI ...

Waters Corporation

Senior Scientist Pharma

Milford, MA

$100K - $137K/yr

Ensures scientific rigor, robustness, and reproducibility of data generated across the program ... Strong understanding of pharma market drivers, regulatory expectations, and emerging modalities (e ...

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

... pharma data. * Contribute to the design and implementation of a large-scale supply chain data ... Integrate data science and generative AI models into customer-facing SaaS products within the life ...

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All JobsData Science Pharma Jobs

Data Science Pharma information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science pharma jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science pharma 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 is data science in the pharmaceutical industry?

Data science in the pharmaceutical industry involves using advanced analytics, machine learning, and statistical methods to analyze complex data sets related to drug discovery, clinical trials, and patient outcomes. Data scientists in pharma help accelerate drug development, optimize clinical study designs, and identify new therapeutic targets by extracting meaningful insights from large volumes of biological and medical data. Their work improves decision-making, reduces costs, and ultimately leads to more effective treatments for patients.

What is the difference between Data Science Pharma vs Data Analyst Pharma?

AspectData Science PharmaData Analyst Pharma
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; knowledge of programming languages like Python or RBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and basic analytics tools
Work EnvironmentDeveloping predictive models, machine learning, advanced analytics in pharmaceutical R&D and marketingData reporting, visualization, and basic analysis to support decision-making in pharma companies
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare analytics providersPharmaceutical companies, healthcare organizations, research institutions

Data Science Pharma professionals focus on advanced analytics, machine learning, and predictive modeling to drive innovation in pharma. Data Analysts Pharma handle data reporting and basic analysis to support operational decisions. Both roles are essential but differ in complexity and technical requirements.

How does a data scientist in the pharmaceutical industry typically collaborate with cross-functional teams during drug development projects?

Data scientists in pharma regularly work alongside clinical researchers, biostatisticians, regulatory specialists, and product managers to analyze complex datasets from clinical trials and real-world evidence. They translate data-driven insights into actionable recommendations that guide decision-making throughout the drug development pipeline. Effective communication and teamwork are essential, as data scientists must both understand scientific objectives and explain analytical findings to colleagues from diverse backgrounds. This collaborative environment fosters innovation and ensures that data-driven approaches contribute meaningfully to advancing new therapies.

What are the key skills and qualifications needed to thrive as a Data Scientist in the pharmaceutical industry, and why are they important?

To thrive as a Data Scientist in pharma, you need a strong background in statistics, machine learning, and domain knowledge in biology or chemistry, usually backed by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, and experience with clinical trial data systems or bioinformatics platforms is commonly required. Strong analytical thinking, collaboration, and the ability to communicate complex data insights to multidisciplinary teams are vital soft skills. These capabilities are crucial for extracting meaningful insights from complex biomedical data, supporting evidence-based decision-making, and driving innovation in drug development.
More about Data Science Pharma jobs
What cities are hiring for Data Science Pharma jobs? Cities with the most Data Science Pharma job openings:
What states have the most Data Science Pharma jobs? States with the most job openings for Data Science Pharma jobs include:
What job categories do people searching Data Science Pharma jobs look for? The top searched job categories for Data Science Pharma jobs are:
Data Science Pharma jobs near you
Infographic showing various Data Science Pharma job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% 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

Irving, TX • On-site, Remote

$130K - $160K/yr

Full-time

Posted 22 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.

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