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Data Scientist Biochemistry Jobs (NOW HIRING)

GRAIL

Senior Data Scientist #4887

Menlo Park, CA

$187K/yr

D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 2+ years of relevant experience * Proven track ...

GRAIL

Senior Data Scientist #4887

Menlo Park, CA · On-site

$187K/yr

D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 2+ years of relevant experience * Proven track ...

GRAIL

Senior Data Scientist #4887

Menlo Park, CA · On-site

$187K/yr

D. in Bioinformatics, Data Science, Computational Biology, Physics, Bioengineering, Cancer Genomics, Statistics, Biochemistry or a related field with 2+ years of relevant experience * Proven track ...

Illumina, Inc.

Sr Biochemistry Scientist

Madison, WI · On-site

$92K - $126K/yr

You are the Senior Biochemistry Scientist Illumina is looking for in joining our Test Method ... Perform data processing, statistical evaluation, and interpretation of experimental results.

Eurofins

Associate Data Review Scientist

Lancaster, PA · On-site

$57K - $57K/yr

Eurofins Biopharmaceutical is looking for an Associate Scientist to support Data Review of our Biochemistry team. The Associate Scientist position is considered an entry-level opportunity that will ...

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Data Scientist Biochemistry information

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How much do data scientist biochemistry jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data scientist biochemistry 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.

How does a data scientist in biochemistry typically collaborate with laboratory researchers and other scientific teams?

As a Data Scientist in Biochemistry, you'll frequently work alongside laboratory researchers, chemists, and biologists to interpret experimental results and develop data-driven insights. Collaboration often involves translating complex biological questions into computational problems, analyzing large datasets from experiments, and communicating findings in a way that supports ongoing research. Effective teamwork and clear communication are crucial, as you'll help bridge the gap between experimental science and analytical modeling, ensuring that data analyses are aligned with scientific objectives.

How do you become a data scientist with a biochemistry degree?

To become a data scientist with a biochemistry degree, you should develop skills in programming languages like Python or R, learn data analysis and machine learning techniques, and gain experience with data visualization tools. Pursuing additional training or certifications in data science or statistics can also enhance your qualifications and improve job prospects.

What are the key skills and qualifications needed to thrive as a data scientist in biochemistry, and why are they important?

To thrive as a Data Scientist in Biochemistry, you need a strong background in biochemistry or molecular biology, advanced statistical analysis, and programming skills (often with a master's or Ph.D. in a related field). Familiarity with tools such as Python, R, machine learning frameworks, and bioinformatics databases is typically required, along with experience using laboratory data management systems. Exceptional problem-solving, critical thinking, and communication skills set candidates apart, enabling them to interpret complex biological data and collaborate across scientific teams. These skills are crucial for transforming raw biochemical data into actionable insights that drive research and innovation in life sciences.

What does a data scientist in biochemistry do?

A Data Scientist in Biochemistry applies data analysis, machine learning, and statistical techniques to large sets of biochemical data. They work with experimental results, genomic sequences, protein structures, and other biological datasets to uncover patterns, make predictions, and support scientific discoveries. Their work often involves collaboration with biochemists to design experiments, interpret results, and contribute to advancements in areas like drug discovery and understanding disease mechanisms.

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

AspectData Scientist BiochemistryData Analyst Biochemistry
Required CredentialsDegree in Biochemistry, Data Science, or related fields; proficiency in programming and statistical toolsDegree in Biochemistry, Life Sciences, or related fields; basic data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firms, often involving complex data modelingLaboratories, research institutions, healthcare settings, focusing on data reporting and visualization
Employer & Industry UsageUsed in biotech, pharma, research institutions for advanced data modeling and predictive analyticsCommon in healthcare, research labs for data reporting, trend analysis, and basic statistical tasks

While both roles require a background in biochemistry, Data Scientist Biochemistry focuses on advanced data modeling, machine learning, and predictive analytics, often requiring programming skills. Data Analysts Biochemistry primarily handle data reporting, visualization, and basic statistical analysis. The roles differ mainly in complexity and technical expertise, but both are vital in biotech and healthcare industries.

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What states have the most Data Scientist Biochemistry jobs?

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

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

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

Data Scientist Biochemistry jobs near you

Scientist III, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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
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. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Description
Join our team at Thermo Fisher Scientific as a Data Scientist III and contribute to global healthcare and scientific innovation. You'll apply advanced analytics, machine learning, and AI techniques to solve complex business challenges across our enterprise. In our collaborative environment, you'll develop and deploy sophisticated data science solutions that drive operational efficiencies and enhance decision-making capabilities. The Scientist III will help define and deliver a practical bioprocess digital twin roadmap, including data strategy, model development, validation, deployment, and cross-functional adoption. This role offers the opportunity to work with advanced technologies while contributing to our mission of enabling customers to make the world healthier, cleaner, and safer.
Responsibilities
  • Lead development of digital twin models for CHO cell culture and upstream bioprocess workflows, including fed-batch and perfusion applications.
  • Build predictive simulation capabilities for nutrient depletion, metabolite accumulation, cell growth, productivity, process drift, CQAs, and scale-up behavior.
  • Develop hybrid modeling workflows that combine mechanistic approaches such as stoichiometric modeling, kinetic modeling, MFA/FBA, and mass balance methods with AI, machine learning, and Bayesian optimization.
  • Enable virtual experimentation by simulating candidate feed strategies, pH strategies, temperature shifts, and other process conditions to prioritize the most promising experimental paths.
  • Define data requirements, validation strategies, model governance practices, and success criteria for predictive and simulation-based workflows.
  • Support real-time or near-real-time forecasting use cases by incorporating bioreactor and process data to detect deviations early and recommend corrective actions.

Education
  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field.
  • PhD in a relevant discipline is preferred.

Qualifications & Experience
  • Strong industry or advanced academic experience in bioprocess development, cell culture, process modeling, digital biomanufacturing, computational biology, or related scientific domains.
  • Deep understanding of upstream bioprocessing, including CHO cell culture, metabolism, feeding strategies, bioreactor operations, CPP/CQA relationships, and scale-up considerations.
  • Advanced Python experience for scientific computing, simulation, data analysis, workflow automation, and visualization.
  • Experience developing mechanistic, statistical, machine learning, optimization, forecasting, or hybrid modeling workflows for biological or process systems.
  • Experience working with complex bioprocess datasets, including time-series process data, offline assays, spent media or omics data, process metadata, and experimental design data.
  • Demonstrated ability to lead cross-functional technical projects and translate scientific challenges into deployable digital solutions.

Preferred
  • Experience with PAT systems, bioreactor data platforms, LIMS/ELN/MES/historian systems, cloud data environments, or model deployment and governance practices is a plus.

Join Us
At Thermo Fisher Scientific, each one of our extraordinary minds has a unique story to tell. Join us and contribute to our singular mission--enabling our customers to make the world healthier, cleaner, and safer.
Compensation and Benefits
The salary range estimated for this position based in New York is $87,200.00-$116,200.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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