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Machine Learning Computational Biology Jobs in Boston, MA

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 ...

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 ...

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 ...

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 ...

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All JobsMachine Learning Computational Biology JobsMachine Learning Computational Biology Jobs in Boston, MA

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?

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.

What jobs can I get with a machine learning computational biology degree?

A degree in machine learning computational biology can lead to roles such as bioinformatics scientist, computational biologist, data scientist, or machine learning engineer in healthcare, biotech, or pharmaceutical companies. These positions often require skills in programming, statistical analysis, and familiarity with biological data and tools like Python, R, or TensorFlow.

What are popular job titles related to Machine Learning Computational Biology jobs in Boston, MA?

For Machine Learning Computational Biology jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Computational Biology jobs in Boston, MA look for?

The top searched job categories for Machine Learning Computational Biology jobs in Boston, MA are:

Machine Learning Computational Biology jobs near you
Infographic showing various Machine Learning Computational Biology job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Machine Learning Researcher and Engineer

StaffRight Associates, LLC

Boston, MA • On-site

$300K - $900K/yr

Other

Posted 4 days ago

Job description

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.Practice Group: Machine Learning & Computational BiologyAbout the Role:

Innovation in quantitative science and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution.

StaffRight Associates has been retained to source elite talent for a premier global quantitative research and technology firm. We are seeking an exceptional Machine Learning Researcher and Engineer to join a highly collaborative, intellectually rigorous interdisciplinary team applying machine learning to drug discovery, biomolecular simulation, and biophysics.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of deep learning architecture, computational biology, and real-world execution.

Key Responsibilities:

  • Architect & Build: Design, optimize, and maintain critical deep learning models and software tools driving proprietary research in drug discovery and molecular dynamics.

  • Data & Research Execution: Translate complex scientific datasets and abstract biological challenges into clear, scalable, high-performance machine learning frameworks.

  • Systemic Optimization: Enhance model accuracy and computational throughput across specialized high-performance environments and supercomputing platforms.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly alongside chemists, biologists, and computer scientists.

What You Bring:

  • Academic Pedigree: Bachelors, Master’s, or Ph.D. in Computer Science, Applied Mathematics, Biophysics, Medicinal Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of core technical concepts and tools including Python, Deep Learning Frameworks, Machine Learning Architecture, Molecular Dynamics, Structural Biology, Cheminformatics, and Quantum Chemistry.

  • Analytical Precision: Proven track record of scientific innovation and solving multi-faceted problems in high-performance computing, deep learning, or computational biology.

  • Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution in a collaborative research environment.

Compensation & Work Model:

  • Base Salary Range: $300,000 – $900,000 annually (commensurate with prior experience and education).

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), comprehensive health benefits, plus full relocation assistance.

  • Work Schedule: Hybrid (Tuesday through Thursday in office; optional work-from-home on Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We put your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.

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