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Data Science Pharma Jobs (NOW HIRING)

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by ... About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ...

Brillio

Senior Director, Data Science & AI

New York, NY · On-site

$128K/yr

Experience in Healthcare, Life Sciences, Pharma, Banking, Financial Services. Preferred Qualifications: * Experience building AI practices, innovation labs, or enterprise Data Science organizations.

Formation Bio

Director, Data Science

Boston, NY

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Cloud BC Labs

AWS Data Engineer

Alameda, CA · On-site

$129K - $155K/yr

AWS Data Engineer Work Location: Alameda CA Duration: Contract to hire or FTE Experience: 10 to max ... Life Science Pharma & Commercial Operations Domain Knowledge is must Expierence Range 8-12 Years ...

Fujifilm

Senior Counsel

$185K - $200K/yr

... Science/Pharma companies to minimize risks of legal liability and ensure maximum legal rights of ... semiconductors and data storage. With roots in photosensitive materials and a legacy of ...

Fujifilm

Senior Counsel

$185K - $200K/yr

... Science/Pharma companies to minimize risks of legal liability and ensure maximum legal rights of ... semiconductors and data storage. With roots in photosensitive materials and a legacy of ...

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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.

Data Science Consulting - Pharma

MathCo

North Wales, PA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Partner with commercial, medical, market access, and brand stakeholders to understand oncology-related business challenges and translate them into analytical workstreams.

  • Develop and guide analytics initiatives focused on patient journey, treatment pathways, line of therapy, brand performance, opportunity assessment, competitive intelligence, and market dynamics.

  • Present findings, recommendations, and strategic narratives to senior client stakeholders.

Job description

Role

  • Pharma DS Consulting/ North Wales, PA

Education / Qualification

  • Bachelor’s degree in a relevant field. Years of Experience

Minimum of 7+ years in relevant experience in pharma consulting, analytics, or data science, with significant exposure to Oncology.

  • Experience supporting pharmaceutical clients in commercial, medical, or market access analytics initiatives is highly preferred.


Please take a moment to review the job description before applying. We encourage applications only from candidates whose experience closely aligns with the role requirements.


About Us

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'.



Job Description

We are seeking a Data Science Consultant with expertise in Oncology to help pharmaceutical clients address complex business challenges through data-driven insights and advanced analytics. This role requires a strong blend of oncology domain knowledge, consulting capabilities, stakeholder management, and analytical problem-solving skills.

The ideal candidate will act as a bridge between business stakeholders and analytics teams, translating strategic questions into structured analytical approaches, guiding solution development, and synthesizing insights into actionable recommendations. The role is highly client-facing and requires the ability to navigate ambiguity, frame business problems, and influence decision-making through compelling storytelling.


Roles & Responsibilities

  • Partner with commercial, medical, market access, and brand stakeholders to understand oncology-related business challenges and translate them into analytical workstreams.
  • Develop and guide analytics initiatives focused on patient journey, treatment pathways, line of therapy (LOT), brand performance, opportunity assessment, competitive intelligence, and market dynamics.
  • Leverage real-world data and secondary data assets to generate actionable insights that support business decision-making.
  • Interpret analytical outputs and contextualize findings within the oncology treatment landscape.
  • Collaborate with data science, engineering, and analytics teams to ensure successful execution and delivery of high-quality solutions.
  • Present findings, recommendations, and strategic narratives to senior client stakeholders.
  • Drive problem-solving discussions, requirement gathering sessions, and solutioning workshops in a consulting environment.
  • Contribute to thought leadership, capability development, and best practices within the oncology analytics space.
  • Mentor junior team members and support cross-functional collaboration to deliver impactful outcomes.


Skills Required

Oncology Domain Expertise

  • Strong understanding of the oncology therapeutic area, including patient pathways, disease progression, treatment regimens, and evolving standards of care.
  • Familiarity with concepts such as Line of Therapy (LOT), biomarker testing, treatment sequencing, patient adherence, and clinical outcomes.
  • Knowledge of oncology commercial use cases including brand performance, patient analytics, forecasting, opportunity assessments, and competitive landscape evaluation.
  • Understanding of payer dynamics, reimbursement considerations, and market access strategies in oncology is preferred.

Pharma Data Expertise

Experience working with pharmaceutical datasets, including:

  • Claims and EMR data (IQVIA, Symphony, Komodo, Truveta, Flatiron)
  • Rx data (IQVIA NPA, NBRx, TRx)
  • Sales and promotional data
  • Epidemiology and patient-level data
  • Market access and payer datasets (MMIT, Fingertip Formulary, DRG Access & Reimbursement)

Consulting & Analytical Skills

  • Strong consulting mindset with the ability to structure ambiguous business problems into actionable analytical approaches.
  • Excellent communication, storytelling, and executive presentation skills.
  • Ability to synthesize complex analyses into meaningful business recommendations.
  • Experience working in client-facing consulting engagements and managing stakeholder relationships.
  • Familiarity with analytical and visualization tools is preferred, though deep hands-on technical expertise is not required.


Apply