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Pharmaceutical Data Scientist Jobs (NOW HIRING)

Latica

Senior Data Scientist

Palo Alto, CA

$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 ...

AbbVie

Data Scientist

Worcester, MA · On-site

Masters in Data Engineering, Data Science or related ... Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming ...

AbbVie

Data Scientist

Worcester, MA · On-site

Masters in Data Engineering, Data Science or related ... Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming ...

AbbVie

Data Scientist

Worcester, MA · On-site

$96K/yr

Masters in Data Engineering, Data Science or related ... Prior experience in biotech or pharmaceuticals preferred * Strong experience in programming ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

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 ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

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 ...

Latica AI

Clinical Data Scientist (Remote)

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 ...

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA

Summary The Data Scientist in Technical Operations (TOPS) plays a critical role in advancing BioMarin's end-to-end product lifecycle by delivering high value Data/AI Solutions across Technical ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

They are seeking a Sr. Data Scientist to leverage data-driven insights and advanced ML/AI solutions ... or pharmaceutical industry experience preferred Company : Align Technology, Inc. designs ...

Norstella

Senior Data Scientist

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 ...

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

Align Technology is seeking a Senior Data Scientist to join their Research and Development group ... or pharmaceutical industry experience preferred Company : Align Technology, Inc. designs ...

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Pharmaceutical Data Scientist information

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How much do pharmaceutical data scientist jobs pay per year?

As of Aug 19, 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.

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Pharmaceutical Data Scientist jobs near you
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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - Biomanufacturing Intelligence

Thermo Fisher Scientific

Groton, CT

Full-time

Posted 11 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 427 frontline employees who took The Breakroom Quiz

200th of 540 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Description

Data Scientist – Biomanufacturing Intelligence

As part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer.

The Bioprocessing Business Development team is shaping the future of digital biomanufacturing by creating innovative business models and customer solutions at the convergence of biotechnology, manufacturing, automation and AI. We believe the future of biomanufacturing will be driven by the integration of these disciplines. This role provides a unique opportunity to help define the future of Biomanufacturing Intelligence.

DESCRIPTION

Join the Bioprocessing Business Development team as a Data Scientist – Biomanufacturing Intelligence. Unlike traditional data science roles, this position focuses on creating new digital business opportunities rather than supporting an established analytics organization. You will work with bioprocess experts, automation specialists, commercial teams and global stakeholders to explore how biomanufacturing data can be transformed into valuable digital solutions.

This is an opportunity to help define the future of Biomanufacturing Intelligence by combining data science, automation and biotechnology into innovative solutions for the biopharmaceutical industry.

KEY RESPONSIBILITIES

  • Identify and develop new digital business opportunities for biomanufacturing using AI and data science.

  • Collaborate with customers and cross-functional teams to understand manufacturing challenges and develop innovative digital solutions.

  • Design AI-ready information models and analytical frameworks that enable Biomanufacturing Intelligence.

  • Develop proof-of-concepts and prototypes for next-generation digital biomanufacturing solutions.

  • Work with global commercial, product management and technical teams to define future business and technology strategies.

REQUIREMENTS

Required

  • Master's or PhD in Data Science, Computer Science, Statistics, Industrial Engineering, or a related discipline.

  • Strong programming skills in Python and SQL, with a solid understanding of statistics, machine learning and data analytics.

  • Strong analytical thinking and structured problem-solving skills.

  • Strong written and verbal English communication skills, with the ability to collaborate effectively in a global environment.

  • Strong collaboration and presentation skills, with the ability to work across multidisciplinary teams.

  • Intellectual curiosity, open-mindedness and a strong willingness to learn.

Preferred

  • Experience with data engineering, information architecture or semantic data modeling.

  • Interest in biotechnology, automation and AI-driven manufacturing.

  • Exposure to manufacturing, pharmaceutical or life sciences is beneficial but not required.

WHY JOIN US?

Join the world leader in serving science and help create the next generation of digital solutions for the biopharmaceutical industry.

Work at the convergence of biotechnology, manufacturing, automation and AI while collaborating with global customers and cross-functional teams.

Grow your expertise across business development, manufacturing and data science while helping define the emerging field of Biomanufacturing Intelligence.

SUCCESS PROFILE

  • Open Mind

  • Curiosity

  • Persistence

  • Cross-functional Collaboration

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