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Python Bioinformatics Jobs (NOW HIRING)

Cypress HCM

Associate Director, Bioinformatics

CA · Remote

Associate Director, Bioinformatics Responsibilities: * Collaborate with wet lab R&D scientists to ... Python preferred) * Hands-on experience building workflows in cloud environments (e.g., AWS)

Celcuity Inc.

$110 - $120/hr

Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Linn Products, Inc

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ...

ROSALIND

Bioinformatics Engineer

San Diego, CA · On-site

As a Bioinformatics Engineer, you will develop software for analyzing and visualizing complex ... Python • Experienced in implementing REST and REST-like APIs • Experience with statistical and ...

Celcuity Inc.

Bioinformatics Scientist

Minneapolis, MN · On-site

$110 - $120/hr

Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ... Strong skills in bioinformatics, coding proficiency in R/Python, cloud computing environments.

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Reporting to the Bioinformatics Senior Principal Investigator, the Bioinformatics Scientist will ... Review and improve existing in-house analysis R/Python workflows for large-scale Omics data using ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required. * Sequencing Data: Hands-on work with Illumina or Oxford Nanopore sequencing platforms. * Product Impact: Proven ...

Vivo HealthStaff

Bioinformatics Scientist

Boston, MA · On-site

$170K - $190K/yr

Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required. * Sequencing Data: Hands-on work with Illumina or Oxford Nanopore sequencing platforms. * Product Impact: Proven ...

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How much do python bioinformatics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for python bioinformatics in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

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Python Bioinformatics jobs near you
Infographic showing various Python Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

BIOINFORMATICS PROGR 3

University of California San Francisco

San Francisco, CA • On-site

Full-time

Posted 8 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

236th of 628 rated colleges and universities

Job description


Job Function Summary:
Involves developing and utilizing computational tools and systems to analyze and interpret biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database searching and integration. Assists with maintaining the computational infrastructure, local databases, and tracks the flow of samples and information for large-scale studies. Develops analysis tools for use by lab personnel and for public dissemination.
Custom Scope:
Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. Demonstrates proficiency with modern AI coding frameworks, for example, Claude, Codex, Cursor, etc., as well as traditional SQL and Python coding. Demonstrates proficiency with modern machine learning toolkits and approaches for classification tasks using large scale datasets, including transcriptomics, and proteomics, demonstrated proficiency using, evaluating, and optimizing protein modeling and folding approaches, including Rosetta, AlphaFold3, and others. Demonstrated track record of scholarly excellence.
Responsibilities
of time
Essential Function (Yes/No)
Key Responsibilities
(To be completed by Supervisor)
25
YESApplies complex bioinformatics concepts to implementexisting software tools and systems, both command line and web based for large scale analysis of in-house generated genomic, proteomic, and immunology data. .
20
YESDevelops new analysis tools, focusing on automated analysis, data aggregation, hypothesis generation. May include agentic systems.
15
YESDevelops, implements, and maintains web interfaces and SQL databases to share and display bioinformatics analysis and content with collaborators and other users.
10
YESPerforms complex data modeling, performance and integration testing, and builds user interfaces for a variety of internal and external constituents.
20
YESPerforms complex data analysis, including developing predictive machine learning classifiers, for in-house generated data.
10
YESAssists with manuscript preparation, figure making, public data deposition
100%
(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)
Qualifications
Required:
  • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training.
  • Minimum 3 years of related experience
  • Thorough knowledge of bioinformatics methods, nextgen sequencing processing, applications programming, web development and data structures.
  • Thorough knowledge of Python bioinformatics programming design, modification and implementation.
  • Thoroughly proficient with design, implementation, and management of SQL relational databases, web interfaces, and linux based operating systems.
  • Thoroughly proficient with modern LLM application development tools.
  • Thorough knowledge of protein folding algorithms, including AlphaFold3and deploying packages on different hardware platforms, such as local systems and/or HPCs
  • Thorough knowledge of machine learning techniques for building predictive classifiers, including logistic regression methods, random forest, neural networks, on multi-modal data, including mass spectrometry spectra, single cell sequencing, B cell repertoire sequencing, phage immunoprecipitation, yeast display, and similar.
  • Proficient knowledge of basic cell biology, genomics, and basic immunology.
  • Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines, and demonstrate problem-solving skills.
  • Thorough knowledge of genomic alignment algorithms, including Diamond, Minimap2, STAR.
  • Conceptual familiarity with PhIPseq, yeast display, and antigen screening methods.

Preferred:
  • Ability to interface with management on a regular basis.
  • Doctoral degree in biological science, computational / programming, or related area and / or equivalent experience / training. Ideally in machine learning applied to biomedicine areas.

Problem Solving:
• Given a large biologic dataset derived from cases and controls, construct and train a machine learning classifier, test performance on held out data, and derive key features driving classification performance
• Construct new query interfaces using APIs to commercial AI systems for analysis of large scale datasets, including agentic systems for automated data analysis and hypothesis generation
• Create a new client/server database for antigen display data, with data analysis and visualization tools.
• Analyze B or T Cell receptor repertoire sequencing data for clonal expansion
• Model antigen / antibody interactions using AlphaFold3
Less frequent and more complex problems solved by the employee:
• Troubleshooting SQL database issues, designing new web server frameworks.
• Build new databases as needed.
• Building bespoke visualization tools for new datasets
Problems/situations that are referred to this employee's supervisor:
• Scientific strategic direction questions
• Collaboration strategy and agreements
• Acquisition of new patient cohorts for data production

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