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Python Biology Jobs in Boston, MA (NOW HIRING)

This company is developing a synthetic biology platform that allows scientists to design, simulate ... using Python, SQLAlchemy, and modern backend frameworks - Architect complex data models ...

... biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams * Proficiency working with programming languages Python, and R, modern development ...

Staff Computational Biologist

Lexington, MA ยท On-site +1

$195K - $230K/yr

... biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams * Proficiency working with programming languages Python, and R, modern development ...

PhD in Computational Biology, Biology, Physics, Statistics, or a related technical discipline ... Strong full-stack programming skills with a focus on Python * Experience solving complex analyses ...

PhD in Computational Biology, Biology, Physics, Statistics, or a related technical discipline ... Strong fullstack programming skills with a focus on Python * Experience solving complex analyses ...

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Python Biology information

See Boston, MA salary details

$14

$63

$93

How much do python biology jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python biology in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Biologist specializing in Python, and why are they important?

To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.

How do Python Biology professionals typically collaborate with interdisciplinary teams in research settings?

Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.

What is a Python biologist?

A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing biological data, developing pipelines, interpreting results

Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.

What job categories do people searching Python Biology jobs in Boston, MA look for? The top searched job categories for Python Biology jobs in Boston, MA are:
What cities near Boston, MA are hiring for Python Biology jobs? Cities near Boston, MA with the most Python Biology job openings:
Staff Software Engineer (Python)

Staff Software Engineer (Python)

JetBridge

Boston, MA โ€ข On-site

Other

Posted 26 days ago


Job description

Referring a Candidate for a bounty? Please visit Refer a Dev to submit.
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Help build the software platform that enables scientists to design and engineer living systems the same way engineers build modern software.
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This company is developing a synthetic biology platform that allows scientists to design, simulate, and debug genetic systems at scale. Their technology combines biology, software engineering, and advanced computation to accelerate the development of next-generation therapeutics.
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The team is building tools that transform biological engineering into a true engineering discipline. They are now hiring aย Staff Software Engineerย to help architect the core platform used by scientists and researchers to design complex biological systems.
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The Role
You will play a key role in designing and evolving a platform used by bioengineers to design, search, and analyze genetic constructs. This is a highly technical role with significant architectural ownership.
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You will collaborate closely with synthetic biologists, computational scientists, and product teams to build systems that model complex biological data and workflows.
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The platform handles highly structured scientific data and requires thoughtful API design, scalable architecture, and robust backend systems.
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What You'll Do
- Design and implement backend architecture that will shape the platform for years
- Build GraphQL APIs for querying and analyzing genetic construct data
- Develop services using Python, SQLAlchemy, and modern backend frameworks
- Architect complex data models representing biological systems
- Collaborate directly with scientists to understand workflows and translate them into software tools
- Design systems that scale as usage and data volume grow significantly
- Participate in on-call rotation and support production systems
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What They're Looking For
- 10+ years building production-grade software systems
- Deep expertise in Python
- Experience designing APIs (GraphQL preferred)
- Strong experience designing scalable backend architectures
- Experience modeling complex data systems and relational databases
- Ability to make long-term architectural decisions
- Comfort working in highly ambiguous, first-of-its-kind product environments
- Strong collaboration skills across technical and scientific teams
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Nice to have:
- Experience with GraphQL frameworks such as Strawberry
- Experience with SQLAlchemy or similar ORM tools
- Experience working with scientific, research, or highly complex datasets
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Why This Role Stands Out
- Work on software that accelerates next-generation therapeutics
- Architect a platform used by scientists designing living systems
- High ownership and influence over system architecture
- Deep technical challenges involving complex biological data models
- Work at the intersection of biology, software engineering, and AI-driven research
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If you enjoy designing systems from first principles and want your work to influence the future of biotechnology, this is a rare opportunity.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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