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Flexible Biology Data Science Jobs (NOW HIRING)

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

Novartis

Director Oncology Data Science LMW

Cambridge, MA · On-site

$194K - $361K/yr

Onsite The Oncology Data Science team in Biomedical Research supports the Oncology Disease Area with computational biology, Artificial Intelligence / Machine Learning (AI/ML), and data engineering ...

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How much do flexible biology data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for flexible 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.

What is the difference between Flexible Biology Data Science vs Bioinformatics Analyst?

AspectFlexible Biology Data ScienceBioinformatics Analyst
Required CredentialsDegree in Biology, Data Science, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; programming skills
Work EnvironmentResearch labs, biotech companies, healthcareResearch institutions, biotech firms, healthcare
Industry UsageData analysis, modeling, machine learning in biologyGenomic data analysis, sequence interpretation, data management

Flexible Biology Data Science and Bioinformatics Analyst roles share similar credentials and work environments, focusing on biological data analysis. However, data scientists often emphasize machine learning and predictive modeling, while bioinformatics analysts focus more on genomic data and sequence analysis. Both roles are vital in biotech and healthcare sectors, with overlapping skills but distinct specializations.

Is data science a flexible biology data science job?

Data science in biology is often considered flexible because it involves analyzing data sets, developing models, and using tools like Python or R, which can be done remotely or with flexible hours. However, specific roles may require collaboration, strict deadlines, or on-site work depending on the employer and project needs.

Can you get a data science job with a biology degree?

A biology degree can provide a strong foundation for a data science role, especially when combined with skills in programming, statistics, and data analysis tools like Python or R. Many employers value interdisciplinary knowledge, and additional training or certifications in data science can improve job prospects in this field.
More about Flexible Biology Data Science jobs
What cities are hiring for Flexible Biology Data Science jobs? Cities with the most Flexible Biology Data Science job openings:
What are the most commonly searched types of Biology Data Science jobs? The most popular types of Biology Data Science jobs are:
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What job categories do people searching Flexible Biology Data Science jobs look for? The top searched job categories for Flexible Biology Data Science jobs are:
Flexible Biology Data Science jobs near you
Infographic showing various Flexible Biology Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Scientist II, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 422 frontline employees who took The Breakroom Quiz

196th of 537 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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