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Biology Data Scientist Jobs (NOW HIRING)

City of New York

Data Scientist

Manhattan, NY · On-site +1

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

City of New York

Data Scientist

Manhattan, NY · On-site +1

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

City of New York

Data Scientist

Manhattan, NY · On-site

$80K - $90K/yr

We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ... biological and environmental sciences and public health) A master's degree from an accredited ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Data Scientist III Location: Ridgefield, CT Type: Contract Compensation: $45-$50/hr Work Model ... Proficiency in biological pathway analysis Preferred Skills * Experience with any of these topics ...

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Data Scientist III Location: Ridgefield, CT Type: Contract Compensation: $45-$50/hr Work Model ... Proficiency in biological pathway analysis Preferred Skills * Experience with any of these topics ...

Battelle

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is seeking a skilled and curious Data Scientist to provide direct support at a client facility. The ...

Battelle Memorial Institute

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle's Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Business Line is seeking a skilled and curious Data Scientist to provide direct support at a client facility. The ...

Formation Bio

Director, Data Science

Boston, NY · 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

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All JobsBiology Data Scientist Jobs

Biology Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do biology data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for biology data scientist 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 a biology data scientist?

A Biology Data Scientist combines expertise in biological sciences with data analysis, machine learning, and programming to extract insights from complex biological data. They work with large datasets from genomics, proteomics, clinical trials, or ecological studies to develop predictive models, optimize experiments, and uncover patterns. Their role often involves coding (Python, R), statistical analysis, and collaboration with biologists to drive scientific discoveries and innovations in healthcare, biotechnology, and environmental research.

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

A Biology Data Scientist needs a strong background in biological sciences, statistics, and data analysis, typically backed by an advanced degree in biology, bioinformatics, or a related field. Familiarity with bioinformatics tools, programming languages like Python or R, and experience with large biological datasets are crucial, with certifications in data science or genomics being advantageous. Strong problem-solving skills, effective communication, and the ability to collaborate with multidisciplinary teams are valuable assets. These skills enable professionals to translate complex biological data into actionable scientific insights, driving research and innovation.

What are some typical challenges a biology data scientist faces in their daily work?

One common challenge for Biology Data Scientists is managing and interpreting large, complex biological datasets that often require robust data cleaning and integration from diverse sources. They may also need to stay updated with rapidly evolving computational tools and methods while ensuring the biological relevance of their analyses. The role often involves collaborating closely with laboratory scientists, clinicians, or research teams to translate computational findings into actionable biological or clinical outcomes. Adapting to interdisciplinary communication and balancing the technical and domain-specific aspects of biology are key parts of the job.

Can a biology student become a biology data scientist?

Yes, a biology student can become a biology data scientist by gaining skills in programming, statistics, and data analysis tools such as Python, R, and SQL. Relevant coursework, internships, and certifications in data science can help transition from biology to this role, which often involves analyzing biological data sets and applying machine learning techniques.

What do biology data scientists do?

Biology data scientists analyze biological data using statistical methods, machine learning, and data visualization tools to uncover insights in areas such as genomics, ecology, and healthcare. They often work with large datasets, programming languages like Python or R, and may collaborate with biologists and researchers to support scientific discoveries and decision-making.
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Biology Data Scientist jobs near you
Infographic showing various Biology Data Scientist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Biologicals Discovery Data Scientist

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Corteva Agriscience is seeking an innovative, collaborative, and enthusiastic Data Scientist with a strong foundation in machine learning, deep learning, and life or physical sciences. The successful candidate will join a strong, globally distributed Data Science team applying advanced analytics and AI to accelerate biologicals discovery - spanning both microbial and natural products discovery - for crop health. This is a high-impact opportunity to shape how modern AI and predictive modeling are applied across these discovery pipelines, partnering closely with data scientists, data engineers, genomics and metabolomics scientists, chemists, and biologists to deliver differentiated solutions to agriculture.
The preferred location for this position is our Corteva Global Headquarters in Indianapolis, Indiana, USA.
What You'll Do:
  • Innovate at the interface of data science, chemistry, and biology to drive discovery of novel microbial and natural products solutions for crop health
  • Develop predictive models that integrate genomic, metabolomic, and phenotypic data to characterize and prioritize promising candidates
  • Build models that connect insights across discovery pipelines, helping identify opportunities that might otherwise be missed within a single pipeline
  • Actively seek, evaluate, and implement modern AI/ML methods - including deep learning and modern architectures - to advance predictive modeling capabilities
  • Partner with collaborators across domains to drive integrated discovery pipelines and candidate prioritization, selection, and advancement toward new microbial and natural products solutions

What Skills You Need:
  • Minimum MS with 5+ years of post-graduation work experience, or Ph.D., in quantitative fields (e.g., Data Science, Statistics, Mathematics, Computer Science) or in life or physical sciences (e.g., Biology, Chemistry)
  • Strong understanding of biology, with the ability to critically evaluate model outputs to generate testable and business-relevant biological and biochemical hypotheses
  • Demonstrated experience with modern machine learning and deep learning methods, including hands-on experience with a modern AI stack (e.g., PyTorch, transformer architectures, generative AI methods), and a solid understanding of the math and model behavior to make sound methodological judgment (e.g., appropriate training design, evaluation metrics, model calibration)
  • Demonstrated ability to independently frame a research problem, define success criteria and evaluation approach, and clearly articulate findings - from early-stage ambiguity through to a well-structured, communicated result
  • Strong foundation in Python or a similar programming language for data wrangling, analysis, and ML applications
  • Excellent verbal and written communication skills with ability to work as part of a cross-functional project team

Preferred Skills:
  • Experience with multi-modal, integrative, or digital twin modeling approaches
  • Experience integrating genomic, metabolomic, and/or phenotypic data for predictive modeling
  • Experience with generative AI approaches applied to life sciences
  • Experience or education in natural products chemistry/biochemistry or microbiology
  • Experience deploying ML models to production, with MLOps practices such as version control, containerization, workflow orchestration, and reproducible, maintainable pipelines
  • Practical knowledge and experience with cloud-computing systems and platforms
  • Experience with agentic AI systems or tool-use/multi-agent architectures

#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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