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Python Bioinformatics Jobs in Boston, MA (NOW HIRING)

Experience in any of the following areas: sequencing data analysis, bioinformatics, data visualization, or statistics * Programming experience in Python, including experience with Pandas and ...

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

... bioinformatics, or a related field using NGS data * Proficiency in Unix or Unix-like operating systems; proficiency in one or more programming languages such as Python, R, SQL, or similar scientific ...

Demonstrated proficiency in Python or other scripting languages. Familiarity with SQL and databases ... Experience in bioinformatics and NGS. * Capable of understanding and translating high-level ...

Proven relevant experience in data analytics (does not need to be in bioinformatic field). * Proficiency in Python for numerical/statistical programming including Numpy, Pandas and standard machine ...

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Python Bioinformatics information

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How much do python bioinformatics jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for python bioinformatics 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 a Python Bioinformatics job?

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 typical workday look like for a Python Bioinformatics professional?

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 are the key skills and qualifications needed to thrive in the Python Bioinformatics position, and why are they important?

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 job categories do people searching Python Bioinformatics jobs in Boston, MA look for? The top searched job categories for Python Bioinformatics jobs in Boston, MA are:
Infographic showing various Python Bioinformatics job openings in Boston, MA as of June 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.
Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Whitehead Institute

Cambridge, MA

Full-time

Posted 13 days ago


Job description

Classification:

Exempt

Job Family:

Core Facilities

Reports to:

Director Genome Technology Core

Job Description Summary:

OVERALL RESPONSIBILITY
The Genomics Technology Core Technician serves as a central point of expertise for sequencing and analytical operations. This role bridges wet-lab execution and computational analysis, supporting both short- and long-read sequencing workflows. The Technician will help internal and external clients on sequencing technologies, guide project design, manage client communication, and deliver rigorous data pre-processing, quality control, and downstream analysis. Will contribute to hands-on support in the laboratory as needed.

CHARACTERISTIC DUTIES

  • Advise clients on appropriate sequencing technologies (short-read, long-read, single-cell, spatial) and help define project parameters, expected outputs, and deliverables.
  • Perform primary NGS data processing including demultiplexing, alignment, and quality assessment (FastQC, MultiQC, etc.).
  • Conduct secondary analysis as required, including variant calling, differential expression, or genome assembly depending on project needs.
  • Develop and maintain reproducible analysis pipelines.
  • Use and update LIMS and genomics databases to track samples, datasets, and project metadata.
  • Communicate effectively with researchers at all levels to ensure deliverables meet scientific objectives.
  • Document protocols, analysis workflows, and results clearly for both technical and non-technical audiences.
  • Assist with NGS related services, quality control (Bioanalyzer, TapeStation, Qubit), and sequencer operation as needed.
  • Contribute to continuous improvement of core facility processes and standard operating procedures.
  • Other tasks, as required.

QUALIFICATIONS

Required

  • BS in Molecular Biology, Bioinformatics, Computational Biology, or a related field; or equivalent experience.
  • 3+ years of relevant hands-on experience.
  • Demonstrated expertise coordinating NGS workflows including short-read (e.g., Illumina, Elements) and long-read (e.g., Oxford Nanopore, PacBio) sequencing platforms.
  • Demonstrated expertise in single cell technologies.
  • Experience advising researchers or clients on sequencing technology selection and experimental design.
  • Proficiency with NGS data pre-processing and quality control tools (e.g., Trimmomatic, MultiQC, Samtools, CellRanger).
  • Familiarity with common bioinformatics data analysis workflows.
  • Command-line proficiency in a Linux/Unix environment; ability to write and maintain analysis scripts in Python.
  • Experience with genomics databases and data management (e.g., LIMS, SQL or similar).
  • Excellent interpersonal and written communication skills; demonstrated ability to manage external client relationships.
  • Strong organizational skills and attention to detail in a high-throughput service environment.
  • Willingness to contribute to bench-level laboratory work when scientific or operational needs arise.

Preferred

  • Familiarity with spatial biology techniques.
  • Familiarity with laboratory automation for liquid handling.
  • Experience with workflow management systems (e.g., Snakemake, Nextflow) and version control (Git).
  • Exposure to cloud computing environments or HPC clusters for large-scale data analysis.

Whitehead provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, and internal peer equity. This pay range represents base pay only and does not include any other benefits or compensation.

  • Pay Range Minimum: 65,000
  • Pay Range Maximum: 90,000

Whitehead Institute is an E-Verify employer

https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf