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Pharmaceutical Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

... therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat ... Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data ...

... pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing ... POSITION SUMMARY The Data Scientist drives business impact by translating complex enterprise data ...

... therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat ... Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data ...

Senior Data Scientist

Palo Alto, CA · On-site

$160K - $190K/yr

... therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat ... Lead end-to-end medical research projects with top-tier life science companies. * Conduct EMR data ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD degree and experience programming experience with ...

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Remote-offsite Hours : 40.0 Overview Leading pharmaceutical company looking for an experienced Data Scientist III. Ideal candidates should have a PhD degree and experience programming experience with ...

Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations. QxBranch is seeking a talented data scientist with a background in machine learning and taking data ...

Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations. QxBranch is seeking a talented data scientist with a background in machine learning and taking data ...

Data Scientist

Santa Clara, CA · On-site +1

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas ...

Data Scientist

Santa Clara, CA · On-site

$130K - $150K/yr

Data Scientist Job Location: Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time ... fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas ...

Latica is a community data network and clinical AI platform that enables to safely access de ... Experience in client-facing roles and working with pharmaceutical or life sciences companies ...

Description About Norstella Norstella is a group of prominent pharmaceutical solutions providers ... The Team Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence ...

As a Senior Data Scientist you will join a group of data scientists and data analysts to lead and ... Partner with clinicians, pharmacists, and other domain experts to define ground truth, adjudicate ...

Showing results 21-40

Pharmaceutical Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do pharmaceutical data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for pharmaceutical 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 is a pharmaceutical data scientist?

A Pharmaceutical Data Scientist analyzes complex healthcare and drug-related data to drive insights for drug development, clinical trials, and regulatory decisions. They use machine learning, statistical modeling, and data visualization to optimize drug efficacy, patient outcomes, and business strategies. Their work supports pharmaceutical companies in making data-driven decisions, improving R&D efficiency, and ensuring regulatory compliance.

What does a pharmaceutical data scientist do?

A typical day for a Pharmaceutical Data Scientist involves analyzing large datasets from clinical trials, preparing reports for regulatory submissions, and collaborating with cross-functional teams including clinicians, biostatisticians, and regulatory professionals. You may spend time developing predictive models, cleaning and structuring complex life sciences data, or creating data visualizations to support study findings. Regular meetings and project updates are common, as is adapting to the evolving data needs of various drug development phases. This dynamic and collaborative environment offers the opportunity to directly influence research outcomes and improve patient care. Additionally, you’ll often be encouraged to learn new analytical methods or tools, contributing to your professional growth.

What are the key skills and qualifications needed to thrive as a pharmaceutical data scientist?

To thrive as a Pharmaceutical Data Scientist, you need a solid background in statistics, data analysis, and life sciences, often supported by a degree in a quantitative or scientific field. Mastery of programming languages such as Python or R, experience with machine learning, and familiarity with data visualization tools and regulatory data standards (e.g., CDISC) are typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders help set you apart in this field. These competencies are crucial for generating actionable insights that support drug development, clinical trials, and regulatory submissions within the pharmaceutical industry.

More about Pharmaceutical Data Scientist jobs

What cities are hiring for Pharmaceutical Data Scientist jobs?

Cities with the most Pharmaceutical Data Scientist job openings:

What are the most commonly searched types of Pharmaceutical Data Scientist jobs?

The most popular types of Pharmaceutical Data Scientist jobs are:

What states have the most Pharmaceutical Data Scientist jobs?

States with the most job openings for Pharmaceutical Data Scientist jobs include:

Infographic showing various Pharmaceutical Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Latica AI

Palo Alto, CA • On-site

$160K - $190K/yr

Full-time

Re-posted 7 days ago


Job description

Who We Are
At Latica, our goal is to unlock the value of healthcare data to transform patient care. Latica is a community data network and clinical AI platform that enables to safely access de-identified real-world data and accelerate diagnostic and therapeutic innovation. Our platform enables fast, compliant access to diverse clinical data, advancing R&D for diagnostics, therapeutics, pharmaceutical studies, and medical devices. Latica was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity. We look for people who are smart, open, and enjoyable to work with. We invest in high-potential, humble team members who grow their responsibilities as the company scales.
What You'll Do
  • 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 transform unstructured data into clinical insights.
  • Support clinical protocol design from a data and feasibility perspective.
  • Perform statistical analyses and present results to clients (dashboards, publications, presentations).
  • Become a subject matter expert in our proprietary healthcare data.
  • Develop cross-client pipelines to support our data infrastructure and product.
  • Build diverse patient cohorts and datasets to continuously enrich Latica's data catalog.
Must Have
  • 5+ years of experience as a Data Scientist or in a similar analytical role, with 3+ years in the healthcare industry (required).
  • Experience in client-facing roles and working with pharmaceutical or life sciences companies (required).
  • Advanced proficiency in Python and SQL.
  • Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, etc.).
  • Experience with cloud infrastructure platforms (AWS/GCP) - preferred.
  • A collaborative team player who is self-motivated, quick to learn, and possesses excellent analytical, research, and business acumen.

Extra Credit
  • R, Large Language Models and data pipelines

Join us to make an impact in healthcare innovation!