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Full Time Biology Data Science Jobs (NOW HIRING)

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

This is a full-time, on-site opportunity in Research Triangle Park, NC. * Generate and optimize ... Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer ...

Holganix

Head of Science

Kansas City, MO · On-site

Holganix is transforming agriculture by bringing together soil health and biological science, environmental science (carbon, water, etc), and data science to help farmers grow more profitably and ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Lead and execute complex data science projects that directly advance our drug development portfolio

Holganix

Head of Science

Kansas City, MO · On-site

Holganix is transforming agriculture by bringing together soil health and biological science, environmental science (carbon, water, etc), and data science to help farmers grow more profitably and ...

Guidehouse

Bioinformatics Scientist

Durham, NC

This is a full-time, on-site opportunity in Research Triangle Park, NC. * Generate and optimize ... Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent * 2+ years of industry experience * Demonstrated success applying AI/ML to biological datasets ...

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Full Time Biology Data Science information

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How much do full time biology data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for full time biology data science 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 do Biology Data Scientists typically collaborate with laboratory researchers and other scientific teams?

Biology Data Scientists often work closely with laboratory researchers, bioinformaticians, and other scientific teams to analyze complex biological datasets and translate findings into actionable insights. Collaboration usually involves regular meetings to discuss project goals, sharing data and preliminary results, and jointly interpreting findings to guide experimental design. Effective communication is essential, as data scientists must bridge the gap between computational methods and biological context, ensuring that analyses are relevant and impactful. This collaborative environment fosters innovation and often leads to multidisciplinary projects that advance both scientific discovery and organizational goals.

What is a Full Time Biology Data Science job?

A Full Time Biology Data Science job involves applying data science techniques and tools to analyze biological data, such as genomics, proteomics, or clinical datasets. Professionals in this role use statistical analysis, machine learning, and programming to extract insights and solve problems in biology. They often work with large datasets, collaborate with biologists and clinicians, and help drive research or product development in biotechnology, pharmaceuticals, or healthcare. This is a full-time position, typically requiring at least a bachelor's or master's degree in biology, data science, bioinformatics, or a related field.

What are the key skills and qualifications needed to thrive as a Full Time Biology Data Scientist, and why are they important?

To thrive as a Full Time Biology Data Scientist, you need a strong background in biology, statistics, and computational methods, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and proficiency in data analysis platforms are essential. Effective communication, critical thinking, and problem-solving skills help translate complex data into actionable biological insights. These combined skills are crucial for accurately analyzing biological data and contributing to research or clinical advancements.
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What job categories do people searching Full Time Biology Data Science jobs look for? The top searched job categories for Full Time Biology Data Science jobs are:
Full Time Biology Data Science jobs near you
Infographic showing various Full Time Biology Data Science job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Scientist II, Data Scientist, Bioprocess Digital Twin

Scientist II, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 408 frontline employees who took The Breakroom Quiz

190th of 527 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 of data scientists at Thermo Fisher Scientific, where you'll contribute to innovation through advanced analytics and AI solutions. As a Scientist II in Data Sciences, you'll apply technologies to solve complex business challenges across our organization. You'll work on diverse projects ranging from predictive modeling and machine learning to generative AI applications, collaborating with teams to deliver solutions that advance our mission of enabling customers to make the world healthier, cleaner, and safer.
In this role, you'll work with senior scientists, engineers, and software teams to build datasets, models, and workflows that support practical digital twin applications. The successful candidate will bring solid bioprocess knowledge, strong quantitative skills, and the ability to turn scientific questions into clear analyses and useful modeling results. This position offers professional growth opportunities and the chance to work with skilled professionals in a collaborative environment focused on innovation.
Responsibilities
  • Support development of predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twin applications.
  • Build, test, and evaluate models for key upstream process behaviors, including nutrient consumption, metabolite accumulation, cell growth, viability, and productivity.
  • Analyze bioprocess datasets, including time-series bioreactor data, offline assay results, spent media data, and process metadata.
  • Use Python and scientific computing tools to process data, run simulations, visualize results, and support model evaluation.
  • Collaborate with scientists, engineers, and software developers to summarize modeling results, document assumptions, and support experimental planning.

Education
  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field; or Bachelor's Degree plus 2 years of industry experience.

Qualifications & Experience
  • Relevant academic or industry experience in upstream bioprocessing, cell culture, process modeling, computational biology, data science, or related scientific domains.
  • Good understanding of CHO cell culture and upstream bioprocessing concepts, including media, feeding strategies, bioreactor operation, metabolites, cell growth, viability, productivity, and process parameters.
  • Hands-on Python experience for scientific computing, data analysis, visualization, simulation, or model implementation.
  • Experience working with bioprocess or biological datasets, especially time-series data, assay results, spent media data, or process metadata.
  • Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches for biological or process systems.
  • Strong analytical and problem-solving skills, with attention to data quality and scientific detail.
  • Ability to work effectively in cross-functional teams and contribute to project activities under guidance from senior scientists or project leads.

Preferred
  • Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools is a plus.
  • Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation 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 $72,600.00-$95,000.00.
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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