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Python Bioinformatics Jobs in Massachusetts (NOW HIRING)

Pfizer

Senior Scientist, Cellular Genomics

Cambridge, MA · On-site

$94 - $156/hr

Apply and adapt established bioinformatics pipelines, statistical workflows, R/Python-based analyses, approved agentic computational tools, and data-management practices in collaboration with ...

Winaxis

Cloud Infrastructure/AI/ML Engineer

Boston, MA · On-site

$116K - $153K/yr

... bioinformatics pipeline management - Expertise in HPC (High Performance Computing), AWS, DNAnexus, AWS Sagemaker AI - Experience with cloud platforms: AWS, GCP - Proficiency in Python and Bash ...

AbbVie

Computational Analyst (Neuroscience)

Cambridge, MA · On-site +1

$126K - $142K/yr

... or Python; & (iii) applying statistical analyses, experiment design, regression & modeling to scientific questions. Alternatively, would accept a BS in Bioinformatics, (Bio)statistics, (Bio ...

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Python Bioinformatics information

What is a Python bioinformatics?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

What does a Python bioinformatics do?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

What skills and qualifications are needed for a Python bioinformatics?

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

What are the most commonly searched types of Python Bioinformatics jobs in Massachusetts?

The most popular types of Python Bioinformatics jobs in Massachusetts are:

What are popular job titles related to Python Bioinformatics jobs in Massachusetts?

For Python Bioinformatics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Python Bioinformatics jobs in Massachusetts look for?

The top searched job categories for Python Bioinformatics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Python Bioinformatics jobs?

Cities in Massachusetts with the most Python Bioinformatics job openings:

Python Bioinformatics jobs near you
Infographic showing various Python Bioinformatics job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Computational Biology & Bioinformatics Lead

Institute for Protein Innovation

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health. Founded in 2017 and located in Boston's Longwood Medical Area, the Institute's three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.
Purpose
Computational Biology & Bioinformatics Lead will help grow IPI's computational protein science team and be responsible for the machine learning and data systems that support work across the Institute. This includes the following functional teams: antibody and antigen discovery, protein characterization, neuroscience, lab automation and lab operations.
This role is responsible for training and applying foundation models for protein structure prediction and design, building models that predict biophysical properties from sequence and structure and turning large multimodal biological datasets into tools and portals that can be effectively utilized across the Institute.
This position provides a combination of hands-on technical work with team leadership skills to fulfill responsibilities and achieve goals.
The position will collaborate closely with the Associate Director & Program Manager of the Antibody Platform and reports to the Senior Director of the Antibody Platform.
Primary Responsibilities
  1. Train, fine-tune, and benchmark foundation models for protein folding and design, including structure prediction models and generative models for de novo binder and antibody design, and integrate these models for routine use in antigen and antibody discovery projects.
  2. Build and validate models that predict biophysical properties such as stability, aggregation, expression, binding affinity, and developability, using multimodal data across sequence, structure, next generation sequencing, proteomics, and assay results.
  3. Run in silico binder and antibody design campaigns and pair them with experimental rounds so predictions are tested and the results feed back into the models.
  4. Develop pipelines and platforms for in vitro antibody discovery data, protein biophysical characterization, proteomics, and next generation sequencing analysis.
  5. Build and maintain web portals and databases for large biological datasets, including IPI's external antigen and antibody catalogs (for example OpenAntigens) and internal research databases.
  6. Work with teams and groups across the Institute to design experiments, interpret and analyze results, and effectively integrate computational tools into established team workflows.
  7. Manage cloud and high-performance computing environments, including GPU infrastructure for model training and large-scale analysis.
  8. Lead and mentor a small team of computational biologists and bioinformaticians.
  9. Effectively present computational analyses to technical and non-technical audiences and contribute to publications, patents, and products.
  10. Establish standards for data management, version control, reproducibility, and MLOps in the group.
Qualifications
Required
  • PhD in computational biology, bioinformatics, biophysics, machine learning, or a related field, with a strong background in protein science or biochemistry.
  • 5 or more years of relevant experience, including experience leading or mentoring computational staff or serving as a technical lead. Direct experience managing a team of two to four people is a plus.
  • Strong Python and hands-on experience with deep learning frameworks such as PyTorch.
  • Experience developing, modifying, and applying protein machine learning models for structure prediction and design.
  • Experience building or training models on multimodal biological data, with a track record shown through publications, patents, or products.
  • Experience with de novo protein and antibody design and validation cycles.

Preferred. (strong candidates will bring several of these, but not all are required)
  • Experience with next generation sequencing analysis.
  • Experience building data portals, APIs, or databases for large biological datasets.
  • Experience with cloud computing and high-performance computing or GPU environments.
  • Familiarity with antibody discovery, proteomics, or protein biophysical characterization assays.
  • Experience integrating computational predictions with wet-lab workflows, including LIMS or ELN systems.

$200,000 - $240,000 a year
IPI provides competitive compensation and an excellent benefits package to support physical, mental and financial health. Highlights of benefits include:
• 100% employer-paid medical, dental, and vision plans
• Flexible spending accounts and a healthcare reimbursement account
• 401(k) plan with generous 6% employer match - immediately 100% vested
• Generous PTO package
• Commuter and parking reimbursement
• Career development opportunities
For more information, visit proteininnovation.org or follow us on social media, @ipiproteins. IPI is an independent 501(c)(3) nonprofit research organization and an equal-opportunity employer. The Institute celebrates diversity and is committed to creating an inclusive environment for all employees. Please be advised that you will be required to provide evidence of your identity and eligibility for employment in the United States. IPI will not guarantee sponsorship of foreign nationals and retains complete discretion regarding providing sponsorship to any prospective or existing employee at time of hire or at any time in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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