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Biology Data Engineer Jobs (NOW HIRING)

Merge

This person will collaborate with domain experts in ML, Ultrasound, synthetic biology, and data-engineering to develop data-analysis pipelines that transform "raw" data into actionable artifacts.

ProPharma Group

$84K - $101K/yr

ProPharma is seeking an experienced Scientific Data Engineer to join our team. The ideal candidate ... Ability to quickly learn and understand data related to domain biologics development and CMC.

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and ...

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Biology Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do biology data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for biology data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a biology data engineer?

A Biology Data Engineer is a professional who designs, builds, and maintains data systems specifically for biological and life sciences research. They work with large and complex biological datasets, ensuring that data is efficiently collected, stored, and accessible for analysis. Their responsibilities often include creating data pipelines, integrating data from various sources like genomics, proteomics, or clinical studies, and ensuring data quality and security. Biology Data Engineers collaborate closely with bioinformaticians, researchers, and software developers to support scientific discovery. Their work is essential for enabling advanced analytics, such as machine learning, in biological research.

How do biology data engineers typically collaborate with biologists and other researchers on data projects?

Biology Data Engineers frequently work closely with biologists, bioinformaticians, and research scientists to understand the specific data requirements and biological context of projects. This often involves translating experimental needs into data pipelines, helping researchers manage large datasets, and ensuring data integrity and accessibility. Regular meetings, joint problem-solving sessions, and iterative feedback are common, enabling seamless integration of computational solutions with biological research. Strong communication skills and a willingness to learn domain-specific concepts are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a biology data engineer, and why are they important?

To thrive as a Biology Data Engineer, you need a strong background in biology and computational data analysis, often supported by a degree in bioinformatics, computational biology, or computer science. Familiarity with programming languages (such as Python or R), biological databases, and data management platforms is typically required, as well as experience with cloud computing and big data tools. Strong problem-solving, collaboration, and communication skills are essential for translating complex biological data into actionable insights. These skills ensure the effective integration, analysis, and interpretation of large-scale biological datasets critical for research and innovation.

What is the difference between Biology Data Engineer vs Bioinformatics Data Scientist?

AspectBiology Data EngineerBioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Biology, Data Science, or related fields; experience with data engineering toolsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; strong programming skills
Work EnvironmentData pipelines, database management, cloud platforms in research or biotech companiesData analysis, algorithm development, research in healthcare or biotech sectors
Employer & Industry UsageBiotech firms, research institutions, pharmaceutical companiesResearch labs, healthcare organizations, biotech firms

The main difference between a Biology Data Engineer and a Bioinformatics Data Scientist lies in their focus areas. Biology Data Engineers primarily build and maintain data infrastructure for biological data, while Bioinformatics Data Scientists analyze and interpret biological data to derive insights. Both roles require strong technical skills and are vital in biotech and research industries, but they serve different functions within data management and analysis workflows.

What are popular job titles related to Biology Data Engineer jobs?

For Biology Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Biology Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Tech Staff - Computational Biologist

Lexington, MA • On-site

MIT Lincoln Laboratory
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about MIT Lincoln Laboratoryexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

The Counter-WMD Systems Group at MIT Lincoln Laboratory is seeking a highly motivated and multidisciplinary biologist to support research and development efforts focused on national security challenges. We are looking for an individual with expertise in computational biology, data science, and biodefense, who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction.

Job Description

Key Responsibilities:

  • Lead projects involving the analysis of complex biological datasets, including next-generation sequencing and metagenomic data.
  • Apply state-of-the-art computational tools and algorithms, including machine learning and AI models, to biological questions related to multiomics, immunology, and microbiome research.
  • Design laboratory experiments to generate and validate biological data.
  • Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.
Requirements

Required Qualifications:

  • PhD in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, or a related field, or a Computer Science degree with extensive biology experience.
  • Expertise in computational biology and bioinformatics, with proficiency in programming languages such as Python, R, or similar.
  • Experience with state-of-the-art AI and machine learning approaches for biological data analysis.
  • Excellent problem-solving skills and the ability to work independently and in collaborative, multidisciplinary environments.
  • Effective written and verbal communication skills.
  • Ability to apply systems-level thinking to holistic biodefense solutions.
Desired

Valued Experience:

  • High-performance computing and data analytics
  • Biosurveillance (e.g., epidemiology, physiological monitoring, environmental sampling)
  • Medical countermeasure / pharmaceutical development
  • Experience with genetic and/or protein language models
  • Willing to obtain and maintain a Top Secret level DoD security clearance

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42753 

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