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Data Scientist Biotechnology Jobs (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Jobtailor

Data Scientist

California, MO · On-site

$90 - $130/hr

Partner with scientists, engineers, business stakeholders, and technology teams. * Drive data ... Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries is ...

Validation & Engineering Group, Inc

PR

... Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

New

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to ... align deliverables with deployment milestones. * Maintain IP & data stewardship practices ...

Amgen

Data Scientist

Cambridge, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist What you will do Let's do this. Let's change the world. In this vital role you will ...

Amgen

Data Scientist

Thousand Oaks, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist What you will do Let's do this. Let's change the world. In this vital role you will ...

Formation Bio

Principal Data Scientist

New York, NY

$204K - $267K/yr

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

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

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

Iff

AI & Data Scientist

Wilmington, DE · On-site

Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field. * At least five years of experience in data science ...

AbbVie

Data Scientist

Worcester, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

AbbVie

Data Scientist

Worcester, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

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All JobsData Scientist Biotechnology Jobs

Data Scientist Biotechnology information

See salary details

$46K

$165K

$243.5K

How much do data scientist biotechnology jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data scientist biotechnology in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a data scientist in biotechnology do?

A Data Scientist in Biotechnology leverages large sets of biological and clinical data to extract meaningful insights that can drive research, drug development, and innovation in the life sciences. They use statistical analysis, machine learning, and data visualization techniques to analyze complex datasets such as genomics, proteomics, or clinical trial data. Their work helps identify patterns, make predictions, and accelerate scientific discoveries, ultimately contributing to advancements in healthcare and biotechnology products.

What is the difference between Data Scientist Biotechnology vs Data Analyst Biotechnology?

AspectData Scientist BiotechnologyData Analyst Biotechnology
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; programming skillsBachelor's in Data Analysis, Statistics, or related fields; basic programming skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsBiotech firms, research institutions, healthcare companies
Employer & Industry UsageUsed for developing predictive models, complex data analysis, machine learningUsed for data reporting, visualization, basic statistical analysis

Data Scientist Biotechnology roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills and higher education. Data Analysts perform more routine data processing and reporting tasks. Both roles are vital in biotech but differ in complexity and scope.

How do data scientists in biotechnology typically collaborate with laboratory researchers and other cross-functional teams?

Data Scientists in biotechnology often work closely with laboratory researchers, bioinformaticians, and product development teams. They translate complex biological data into actionable insights, requiring frequent communication to understand experimental designs and data requirements. Collaboration often includes joint meetings, data review sessions, and iterative feedback to ensure analytical models address real-world scientific questions. This interdisciplinary teamwork is crucial for advancing research outcomes and developing new biotechnological solutions.

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

To excel as a Data Scientist in Biotechnology, you need a strong background in statistics, machine learning, and biological sciences, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or R, bioinformatics tools, and platforms such as TensorFlow or Bioconductor is highly valuable. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating complex data into actionable insights for multidisciplinary teams. These skills enable the accurate analysis of biological data, drive innovation, and support decision-making in research and product development.
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What cities are hiring for Data Scientist Biotechnology jobs?

Cities with the most Data Scientist Biotechnology job openings:

What states have the most Data Scientist Biotechnology jobs?

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

What job categories do people searching Data Scientist Biotechnology jobs look for?

The top searched job categories for Data Scientist Biotechnology jobs are:

Data Scientist Biotechnology jobs near you
Infographic showing various Data Scientist Biotechnology job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - Biomanufacturing Intelligence

Thermo Fisher Scientific

Groton, CT

Full-time

Posted 9 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 426 frontline employees who took The Breakroom Quiz

199th 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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