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Python Bioinformatics Jobs in Manhattan, NY (NOW HIRING)

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Qualifications Candidates should have a PhD in computational biology, bioinformatics, microbiology ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Qualifications Qualifications Candidates should have a PhD in computational biology, bioinformatics ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

Circle Labs

Senior Fullstack Engineer

Manhattan, NY · On-site

... bioinformatics field. As a Senior Full Stack Engineer, you will be responsible for creating and ... and Python. • Experience with modern front-end frameworks and libraries (e.g., React, Next.js ...

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Python Bioinformatics information

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$14

$64

$95

How much do python bioinformatics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python bioinformatics in Manhattan, NY is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.51 per hour, depending on experience, location, and employer.

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 popular job titles related to Python Bioinformatics jobs in Manhattan, NY?

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

What job categories do people searching Python Bioinformatics jobs in Manhattan, NY look for?

The top searched job categories for Python Bioinformatics jobs in Manhattan, NY are:

Python Bioinformatics jobs near you
Infographic showing various Python Bioinformatics job openings in Manhattan, NY as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $134,568 per year, or $64.7 per hour.

Senior Software Engineer & Project Lead

Clarity Recruiting

New York, NY

Full-time

Re-posted 27 days ago

Job description

Job Description Our Client, prominent private foundation dedicated to advancing fundamental research across mathematics, the physical sciences, and computational biology, is looking for an experienced Lead Software Engineer to join their NYC based team on full time basis. This is a high-impact, hands-on leadership role responsible for owning technical direction and execution, mentoring a small team of software engineers, and collaborating closely with computational biologists and researchers to translate cutting-edge science into robust, production-grade software tools. Responsibilities Serve as technical lead for the platform, guiding architecture, feature development, and major infrastructure upgrades Lead and mentor a team of full stack software engineers across code quality, workflows, and professional development Design, develop, and optimize scalable genomics data processing pipelines Integrate machine learning methods into production pipelines for heterogeneous biological datasets Establish and enforce engineering best practices: coding standards, version control, documentation, testing, and CI/CD Collaborate cross-functionally with computational biologists, data scientists, and external partners Evaluate emerging technologies in cloud infrastructure, bioinformatics, and scientific computing Minimum Qualifications B.S

in Computer Science, Software Engineering, or related field 10+ years of professional software engineering experience, including team leadership and hands-on involvement in planning, design, and development Proficiency in full stack development Extensive Python experience, including data pipelines and software libraries Demonstrated experience across the full SDLC: testing, CI/CD, version control, deployment Experience building and maintaining web-based applications Background in computational biology, bioinformatics, or a related field Experience working with large, heterogeneous biological datasets, ideally in genomics or biomedical contexts Strong cross-functional communication skills and ability to work across technical and scientific disciplines

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