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Machine Learning Computational Biology Jobs (NOW HIRING)

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field • 2+ years of hands-on experience with PyTorch and/or JAX for deep ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

... and machine learning models to unravel the biology of epigenetic aging and disease using ... Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ...

Natera

OR

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics ...

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Machine Learning Computational Biology information

What types of projects might I work on as a Machine Learning Computational Biology specialist?

As a Machine Learning Computational Biology specialist, you may work on projects ranging from analyzing large-scale genomic data to developing predictive models for disease risk or drug response. Typical tasks include designing and implementing machine learning algorithms to identify patterns in biological datasets, collaborating with biologists and clinicians to interpret results, and contributing to publications or presentations. You'll often be part of a multidisciplinary team, interacting with data scientists, laboratory researchers, and software engineers. This role offers the opportunity to work on cutting-edge biomedical research and have a direct impact on advancements in healthcare and life sciences.

What is a Machine Learning Computational Biology job?

A Machine Learning Computational Biology job involves applying machine learning techniques to analyze biological data, such as genomics, proteomics, and medical imaging. Professionals in this field develop algorithms and models to identify patterns, make predictions, and generate insights that can drive scientific discovery or improve healthcare. They typically work with large datasets, employing statistical and computational methods to solve complex biological problems. The role often requires expertise in programming, data science, and domain-specific biological knowledge. It is commonly found in academia, pharmaceutical companies, biotech firms, and healthcare institutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Computational Biology position, and why are they important?

To thrive as a Machine Learning Computational Biology professional, you need a strong background in biology, statistics, computer science, and machine learning, typically supported by an advanced degree in a relevant field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools, and knowledge of machine learning frameworks like TensorFlow or scikit-learn are commonly required. Strong analytical thinking, effective communication, and the ability to work collaboratively in interdisciplinary teams are highly valued soft skills. These qualifications are essential for solving complex biological problems, developing robust computational models, and effectively communicating findings to both technical and non-technical stakeholders.

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Machine Learning Computational Biology jobs near you
Infographic showing various Machine Learning Computational Biology job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Associate Staff - Computational Biologist

Associate Staff - Computational Biologist

MIT Lincoln Laboratory

Lexington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Key responsibilities

  • Assist and/or 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 multi-omics, immunology, and microbiome research.

  • Assist with laboratory experiments to generate and validate biological data.

Job description

Group 22—Counter Weapons of Mass Destruction (C-WMD) Systems Group. 

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 and data science who can contribute to our mission of developing advanced technologies to counter weapons of mass destruction

Job Description

Key Responsibilities:

  • Assist and / or 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 multi-omics, immunology, and microbiome research.
  • Assist with laboratory experiments to generate and validate biological data.
  • Collaborate with a multidisciplinary team to solve broad and challenging problems in biodefense.

Required Qualifications:

  • Master’s degree (or Bachelor’s degree plus three years of work experience) in Bioengineering, Computational Biology, Bioinformatics, Molecular Biology, Data Science 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.
  • Experience designing, conducting, and interpreting the results of laboratory experiments
  • Effective written and verbal communication skills.
  • Ability to apply systems-level thinking to holistic biodefense solutions.
Valued Experience

Valued Experience:

  • High-performance computing, bioinformatics, 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: $116,400 - $140,000

Experienced Hiring Range: $116,400 - $182,200

 

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: 42991 

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