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Python Bioinformatics Jobs (NOW HIRING)

Create scientific scripts and analytical tools using Python, R, Perl, Java, BioPerl, or similar ... Adapt bioinformatics workflows and algorithms to HPC and cloud-computing environments. * Support ...

Bioinformatics Scientist

Winter Park, FL · 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 ...

Bioinformatics Scientist

Winter Park, FL · 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 ...

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 ...

Bioinformatics Scientist

Winter Park, FL · On-site

$150K - $180K/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 ...

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 ...

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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Bioinformatics Scientist Location: Hybrid Employment Type: 1-Year W2 Contract Pay Range: $45-$65 ... Proficiency in R and/or Python . * Experience working within a distributed Linux environment

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How much do python bioinformatics jobs pay per hour?

As of Sep 4, 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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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 Specialist

BeVera Corps

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Type
Full-time
Description
About BeVera Solutions, LLC
BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera's CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.
Recognized as one of Atlanta's Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.
NOTE: Position Contingent upon award of contract. This role is part of a pre-award candidate search for an upcoming federal government contract. Employment is contingent upon BeVera Solutions receiving the contract award, final Government approval, funding, and any applicable client or contract requirements.
Job Description Essential Duties
BeVera Solutions is seeking a highly experienced Bioinformatician - Scientific Computing & Genomics to perform genomic data analysis and develop, execute, maintain, and troubleshoot reproducible bioinformatics workflows supporting CDC's Office of Advanced Molecular Detection (OAMD).
The position supports next-generation sequencing, microbial genomics, scientific scripting, workflow development, HPC and cloud computing, statistical analysis, and technical consultation for public-health laboratory and pathogen-analysis activities.
Bioinformatics & Genomic Analysis
  • Perform bioinformatics analysis of next-generation and other high-throughput sequencing data.
  • Support genome sequencing, assembly, annotation, microbial genomics, metagenomics, transcriptomics, phylogenetics, and related analyses.
  • Conduct statistical analyses and scientific data-quality reviews.
  • Process and analyze complex genomic and other biological datasets.

Workflow Development & Scientific Programming
  • Develop, execute, modify, test, document, and maintain reproducible bioinformatics workflows.
  • Develop and support workflows using Nextflow and related workflow-management technologies.
  • Create scientific scripts and analytical tools using Python, R, Perl, Java, BioPerl, or similar languages.
  • Optimize pipelines for computational efficiency, storage utilization, scalability, and reproducibility.

HPC, Cloud & Software Environment Support
  • Adapt bioinformatics workflows and algorithms to HPC and cloud-computing environments.
  • Support implementation, configuration, testing, and validation of open-source, commercial, and custom bioinformatics software.
  • Assist with containerized bioinformatics applications and scientific-computing environments.
  • Maintain and update reference datasets, databases, software environments, and analytical resources.
  • Troubleshoot workflow failures, software dependencies, data-format compatibility issues, analytical errors, and computational-resource problems.

Quality Assurance, Validation & Documentation
  • Participate in software testing, quality-control, validation, and user-acceptance activities.
  • Document analytical methods, workflows, software configurations, results, and technical procedures.
  • Contribute to technical reports, scientific presentations, manuscripts, methods documentation, and other program products as needed.

Scientific Consultation & User Support
  • Provide bioinformatics technical consultation and user support appropriate to level of experience.
  • Assist scientists and technical users in understanding bioinformatics tools, analyses, workflows, and results.

Collaboration, Training & Leadership
  • Collaborate with bioinformaticians, scientists, system administrators, DevOps personnel, infrastructure teams, data-management personnel, and other technical staff.
  • Participate in technical training, knowledge-sharing, and continuous professional development.
  • Senior-level incumbents may mentor less-experienced bioinformatics personnel and lead complex analytical assignments.

Requirements
Required Qualifications
  • Demonstrated education, training, or professional experience related to bioinformatics, computational biology, genomics, biological sciences, computer science, data science, or a closely related field.
  • Knowledge of bioinformatics methods and genomic or sequencing-data analysis.
  • Experience or demonstrated proficiency with scientific scripting or statistical programming.
  • Ability to work with large and complex scientific datasets.
  • Ability to document analytical methods and technical procedures.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively within multidisciplinary scientific and technical teams.

Preferred Qualifications
Experience supporting public-health, infectious-disease, laboratory-science, HHS, CDC, or other federal scientific programs is also preferred.
Programming & Scientific Computing
  • Python
  • R
  • Perl
  • Java/BioPerl
  • Linux
  • High-performance computing (HPC)
  • Cloud-computing environments

Bioinformatics Workflows & Development
  • Nextflow
  • nf-core/ph-core or similar workflow standards
  • Bioinformatics workflow optimization
  • Containers/Singularity or similar technologies
  • Scientific software testing and validation

Genomics & Sequence Analysis
  • Next-generation sequencing (NGS) and high-throughput sequencing
  • Genome assembly
  • Functional annotation
  • Microbial genomics
  • Metagenomics
  • Phylogenetic analysis

Data Analysis & Public Health
  • Statistical analysis
  • Epidemiologic or public-health data