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Data Scientist Biotech 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 ...

Legend Biotech USA, Inc.

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug ...

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 ...

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 · On-site

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

Doist

Image Data Scientist

South San Francisco, CA · On-site

$120 - $180/hr

Our client, a world leader in life sciences and biotechnology, is looking for a "Image Data Scientist" based out of South San Francisco, CA. Job Duration: Long Term Contract (Possibility Of Extension ...

Access Labs LLC

Data Scientist

North Palm Beach, FL

Access Medical Laboratories is seeking an innovative and business-focused Data Scientist to join ... Experience working within healthcare, diagnostics, biotechnology, laboratory services, or life ...

Amgen SA

$110 - $170/hr

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist As a Data Scientist , you will design, develop, and implement scalable data ...

Moderna Therapeutics

$122 - $195/hr

Utilize data science and software engineering best practices in day-to-day work, including ... Demonstrated understanding of biotech research and engineering processes including one or more of ...

Amgen, Inc.

Data Scientist

Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest ... Data Scientist As a Data Scientist , you will design, develop, and implement scalable data ...

Moderna, Inc.

Data Scientist

Cambridge, MA · On-site

$121K - $194K/yr

Utilize data science and software engineering best practices in day-to-day work, including ... Demonstrated understanding of biotech research and engineering processes including one or more of ...

Initial Therapeutics, Inc.

Data Scientist

Washington, DC · On-site

$120 - $170/hr

Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest ... Data Scientist As a Data Scientist , you will design, develop, and implement scalable data ...

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Data Scientist Biotech information

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$37.5K

$122.7K

$196.5K

How much do data scientist biotech jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data scientist biotech 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 the difference between Data Scientist Biotech vs Data Analyst Biotech?

AspectData Scientist BiotechData Analyst Biotech
Required CredentialsBachelor's/Master's in Data Science, Bioinformatics, or related fields; proficiency in programming and statistical toolsBachelor's degree in Life Sciences, Statistics, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms; focus on complex data modelingClinical settings, research teams; focus on data collection and reporting
Employer & Industry UsageBiotech firms, pharma companies, research institutionsBiotech and healthcare organizations, research labs

In summary, Data Scientist Biotech roles involve advanced data modeling, machine learning, and bioinformatics, requiring higher technical skills and often advanced degrees. Data Analysts Biotech focus on interpreting and reporting data, with less emphasis on complex modeling. Both roles are vital in biotech but differ in scope and technical depth.

How do you become a data scientist in biotech?

To become a data scientist in biotech, one typically needs a strong background in mathematics, statistics, and programming, often with a master's or Ph.D. in a related field such as bioinformatics, computer science, or biology. Gaining experience with data analysis tools like Python, R, and machine learning techniques, along with understanding biological data and laboratory processes, is essential. Internships, research projects, or relevant work experience can also help build expertise in the biotech industry.

What does a data scientist biotech do?

A data scientist in biotech analyzes complex biological and clinical data to identify patterns, develop predictive models, and support research and development efforts. They often use statistical tools, machine learning techniques, and programming languages like Python or R to interpret data and inform decision-making in biotech projects.
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Cities with the most Data Scientist Biotech job openings:

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Data Scientist Biotech jobs near you
Infographic showing various Data Scientist Biotech 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 84% Physical, 4% Hybrid, and 12% 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 23 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 429 frontline employees who took The Breakroom Quiz

170th of 545 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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