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Python Biology Jobs in Boston, MA (NOW HIRING)

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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 8, 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 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.

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 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.

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 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:
Computational Biologist II

Full-time

Posted 18 days ago


Dana-Farber Cancer Institute rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

The Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter/) at the Dana-Farber Cancer Institute is dedicated to accelerating the translation of advancements from research to the clinic to improve pancreatic cancer detection, care, and outcomes. The Hale Center fosters collaboration between clinical, translational, and research experts both internally within the Hale Center and Dana-Farber as well as externally across the broader biomedical community through both academic and industry partnerships. The Hale Center currently consists of 20 investigators together with dedicated Hale Center staff with a collective breadth of expertise in clinical trials, data sciences, machine learning, epidemiology, immunology, medicinal chemistry, molecular & cellular biology, pathology, and radiology.
The Hale Center is seeking a highly motivated Computational Biologist II, who will be responsible for complex data analysis or processing of biological data, with a focus on spatial proteomic and transcriptomic technologies.
The Computational Biologist is a quantitative scientist who collaborates with scientific and clinical investigators as well as with other research staff in the analysis of high-throughput data, and dissemination of scientific results.
The Computational Biologist may work on many types of projects and areas of research including spatial technologies, cancer genomics, functional genomics, molecular imaging, data management and integration, and querying biological databases.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
 

  • Data Processing:  Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary.
  • Data Analysis:  Performs routine analysis for which established tools exist and are considered reliable.
  • Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary.
  • Data and Software Management:  Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically.
  • Manuscript Preparation:  Independently edits and drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures. 
  • Grant Preparation:  Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans.   Minimal guidance is expected.
  • Research Portfolio Management:  Develops timelines and components for larger projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
  • Team interactions:  Share strategies for effective interaction with investigators, as well as for efficient task management.  Share analytic strategies with peers.  Suggest professional team initiatives.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Computational Skills:  Expert Knowledge of UNIX/Linux. Strong knowledge of scripting in Python and statistical programming using R.
  • Data analysis Skills: Experience with principles of experimental design and the modern data analysis paradigms is required.
  • Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally.
  • Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts.
  • Excellent analytical, organizational and time management skills.

MINIMUM JOB QUALIFICATIONS:

Minimum Education:
Bachelor's degree required in a STEM field.  Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences.

Minimum Experience:
2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.  

EEO Poster.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$85,000.00 - $105,000.00

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About Dana-Farber Cancer Institute

Sourced by ZipRecruiter

Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Boston, MA, US

Year founded

1947