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Python Biology Jobs (NOW HIRING)

U.S. Fish and Wildlife Service

Fish Biologist

Red Bluff, CA · On-site +1

$74K - $97K/yr

Experience with juvenile fish monitoring and research projects, conservation biology, and sampling ... Python, Visual Basic) to develop and maintain biological databases, synthesize and analyze data.

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Strong Python programming skills and comfort working in Unix-based environments * Experience with containerized workflows (Docker, Singularity) * Familiarity with molecular biology workflows and ...

Nextonic Solutions

Biologist

Baltimore, MD · On-site

Scripts and Code - Documented R/Python/Bash scripts * Monthly Summary - Summary of work performed ... Biology * Proficiency in R and at least one scripting language * Experience with QC and data ...

Oxman

Associate Synthetic Biologist

New York, NY · On-site

$102K - $127K/yr

Experience with software tools used to design molecular biology experiments, such as SnapGene or Geneious. * Experience with R and/or Python in a lab environment. Preferred Experience * Demonstrated ...

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Python Biology information

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How much do python biology jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python biology 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 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.
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Python Biology jobs near you
Senior Scientist, Computational Biology

Senior Scientist, Computational Biology

Korro Bio

Cambridge, MA

$99K - $135K/yr

Full-time

Posted 21 days ago

Job description

Company Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body’s natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro is based in Cambridge, Massachusetts.

We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.
Position Summary:
We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our Data Science team and contribute across the breadth of Korro’s research and translational programs. The successful candidate will operate as an analytical generalist — comfortable moving between target validation, NGS/omics analysis, assay analytics, and translational support for our oligonucleotide therapeutics pipeline. This is a hands-on role suited to someone who has already proven themselves in a biotech or pharma environment and who thrives in a small, fast-moving organization where program needs evolve quickly.
Key Responsibilities:

  • Drive computational biology analyses across Korro’s research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models. 

  • Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon sequencing) in support of oligonucleotide design, screening, and pharmacology workstreams. 

  • Partner with platform biology, chemistry, and pharmacology teams to translate experimental questions into rigorous analytical workflows and to communicate results in a form that informs program decisions. 

  • Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure (Posit Connect, MLflow, containerized environments, AWS). 

  • Contribute analytical support to the preclinical-to-clinical translational handoff for our GalNAc-conjugated programs, including PK/PD characterization and biomarker analysis as programs mature. 

  • Collaborate with cross-functional stakeholders to scope new analyses, set realistic timelines, and deliver results that are technically sound and decision-ready. 

  • Mentor junior scientists and contractors on best practices in scientific computing, reproducibility, and statistical rigor. 

  • Share findings through internal presentations and contribute to the scientific community through publications or presentations as appropriate. 

Required Qualifications:

  • Ph.D. in Computational Biology, Bioinformatics, Genomics, Computational Chemistry, or a related quantitative discipline, with 3+ years of post-PhD experience in a biotech or pharmaceutical industry setting. Academic-only or pure-tech industry experience will not be considered for this role. 

  • Demonstrated track record of shipped, decision-impacting analyses on industry programs — e.g., target validation, biomarker discovery, oligonucleotide or small-molecule pharmacology, or preclinical-to-clinical translation. 

  • Strong scientific programming in R and/or Python, with proficiency in standard biological data analysis libraries (Bioconductor, tidyverse, pandas, numpy, scikit-learn, etc.). 

  • Solid experience analyzing NGS data, including RNA-seq differential expression workflows, variant calling, and quality control of sequencing experiments. 

  • Familiarity with oligonucleotide or RNA-based therapeutics — including chemical modifications, delivery modalities (GalNAc, LNP), and the analytical considerations specific to ASOs, siRNAs, or related modalities. 

  • Working knowledge of statistical modeling appropriate to biological data: linear and generalized linear models, mixed-effects models, multiple testing correction, and basic experimental design. 

  • Comfort working with messy, real-world experimental data and collaborating directly with bench scientists to refine analytical questions. 

  • Excellent written and oral communication skills, including the ability to translate technical results for non-computational stakeholders. 

Preferred Qualifications:

  • Experience analyzing clinical or translational data — Phase 1 PK/PD, biomarker time-courses, or exposure-response analyses — is a strong plus. 

  • Familiarity with hepatology, metabolic disease, or other indications relevant to GalNAc-conjugated oligonucleotide therapeutics. 

  • Experience with cloud-based analytical infrastructure (AWS), containerized workflows (Docker), and reproducible reporting tools (Posit Connect, Quarto, R Markdown). 

  • Prior contribution to IND-enabling packages or regulatory submissions. 

  • Peer-reviewed publications in computational biology, genomics, or therapeutic pharmacology. 

  • Hands-on experience using agentic coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in a production scientific computing context, with a thoughtful perspective on where these tools accelerate work and where human review remains essential. 

The range provided is based on what we believe is a reasonable estimate for the base the salary pay range for this job at this time. This does not include annual bonus and equity. The actual salary will be based on a number of factors including skills, competencies, experience, and other job related factors permitted by law.
Benefits:  Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.