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Machine Learning Computational Biology Jobs in Boston, MA

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 ...

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 ...

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 ...

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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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:
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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI/ML Research Engineer

Manifold Bio

Boston, MA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines. They are seeking a talented Machine Learning Research Engineer to implement, scale, and optimize machine learning systems that power their antibody design platform and advance protein design capabilities.
Responsibilities:
• Implement and optimize machine learning models for protein design
• Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
• Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
• Collaborate with research scientists to translate experimental ML approaches into production-ready code
• Design and execute ML experiments with clear hypotheses and rigorous analysis
• Optimize model performance and computational efficiency for large-scale protein design tasks
• Build tools and utilities to support rapid prototyping and experimentation by the research team
Qualifications:
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 learning applications
• Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Experience with distributed computing and GPU optimization techniques
• Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences
• Understanding of modern deep learning architectures and optimization techniques
• Experience implementing research papers or translating ML approaches to production systems
• Proficiency with version control (Git), testing frameworks, and software engineering best practices
• Strong problem-solving skills and ability to work independently on technical challenges
• Excellent written and verbal communication skills for cross-functional collaboration
Preferred:
• Experience training LLMs or diffusion generative models
• Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)
• Background in computational biology, bioinformatics, or structural biology
• Experience with large-scale data engineering and ETL pipelines
• Familiarity with MLOps practices and model deployment frameworks
Company:
Manifold Bio is building a protein barcoding platform to bring the power of multiplexed measurement. Founded in 2020, the company is headquartered in Boston, USA, with a team of 11-50 employees. The company is currently Early Stage.