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Python Biology Jobs in St Louis, MO (NOW HIRING)

Sr. Software Engineer

Hazelwood, MO · On-site

$115K - $152K/yr

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Sr. Software Engineer

Hazelwood, MO · On-site

$115K - $152K/yr

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Sr. Software Engineer

Hazelwood, MO · On-site

$115K - $152K/yr

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Bachelor's degree in computer science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Bachelor's degree in computer science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Bachelor's degree in computer science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Bachelor's degree in computer science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

Lead Software Engineer

Hazelwood, MO · On-site

$117 - $176/hr

Bachelor's degree in computer science, Data Engineering, Software Engineering, Biology ... Experience developing solutions using Python, including scripting, automation, or data processing ...

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Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Familiarity with or interest in biology, microbiology and biochemistry · Proficient analytical ... Python or R, Code - samples to be provided upon request · Masters or PhD preferred · Work ...

Sr. Data Scientist

Hazelwood, MO · On-site

$115 - $160/hr

Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ... Python or R, Code - samples to be provided upon request Preferred Education, Training, and ...

Familiarity with or interest in biology, microbiology and biochemistry * Proficient analytical ... Python or R, Code - samples to be provided upon request Preferred Education, Training, and ...

Showing results 21-40

Python Biology information

See St Louis, MO salary details

$12

$56

$83

How much do python biology jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for python biology in St. Louis, MO is $56.99, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.76 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a computational biologist specializing in Python?

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.

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 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.

Is Python useful for biology?

Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for roles in bioinformatics, computational biology, and systems biology.

What cities near St. Louis, MO are hiring for Python Biology jobs?

Cities near St. Louis, MO with the most Python Biology job openings:

Infographic showing various Python Biology job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $118,546 per year, or $57 per hour.

Research Scientist and/or Postdoctoral Associate

DONALD DANFORTH PLANT SCIENCE CENTE

Saint Louis, MO • On-site

Full-time

Posted 2 days ago

New


Job description

The Donald Danforth Plant Science Center is launching a multi-lab research initiative to improve food and cover crops for global food security, agricultural sustainability, and innovation. To support this effort, we are recruiting multiple full time benefits eligible scientists to join laboratories across the Center. These positions span a shared portfolio of projects that incorporate gene editing, plant transformation, quantitative genetics, and analytical biochemistry.
This is a single call for several openings at our independent, nonprofit research institute located in St. Louis. We encourage mission-motivated candidates with backgrounds in any of the skill areas described below to apply; applications will be matched to the laboratory and project that best fit each candidate's expertise and interests. Successful candidates will work in a highly collaborative, well-resourced environment with access to the Center's world-class core facilities, including the Plant Growth Facility, Plant Transformation Facility, the Advanced Bioimaging Laboratory, the Bioanalytical Chemistry Facility, the Data Science Core, the Phenotyping Facility, and the Danforth Field Research Site.
Responsibilities:
  • Independently designs and conducts research, develops and presents reports based on research findings.
  • Investigates the feasibility of applying a wide variety of scientific principles and theories to potential inventions and products.
  • Maintains knowledge of state-of-the-art principles and theories.
  • Assists PI in writing research reports, grants and proposals, and may serve as co-PI.
  • Mentors graduate students and junior lab members on research techniques and protocols.
  • Makes contributions to scientific publications and participates in conferences in their fields.
  • Writes and assembles sections of patent applications and/or scientific papers of broad scope within and outside their immediate area of expertise.

Required knowledge, skills, and abilities:
  • Demonstrated ability to design, execute, and direct independent research
  • Strong analytical and problem-solving skills; capable of handling complex and multidisciplinary datasets
  • Excellent written and verbal communication skills for publications, proposals, and team leadership
  • Experience mentoring students or junior staff in research settings
  • Track record of scholarly publications and contributions to the scientific community
  • Understanding of intellectual property, scientific publishing, and research grant processes
  • Capacity to think creatively and strategically about new research directions
  • Collaborative spirit and the ability to engage with cross-functional and cross-disciplinary teams
  • Live the Danforth Center values: Collaboration, Diversity & Inclusion, Innovation, Integrity & Respect, Environmental Sustainability, and Stewardship

Who we're looking for
We are hiring across a range of participating laboratories and research areas. Depending on the position, projects address challenges such as increasing yield and nutritional quality in cassava, sorghum, cowpea, and maize; engineering disease and drought resilience; developing cover crops and perennial grains for regenerative agriculture; advancing plant transformation and gene-editing platforms.
Gene editing and molecular biology
  • CRISPR/Cas design and multiplexed editing in crop species, construct assembly, and molecular characterization of edited and transgenic lines.
  • Plant transformation, tissue culture, and regeneration, including work with recalcitrant genotypes and morphogenic regulator systems.
  • Trait engineering through overexpression, targeted knockout, and gene stacking (e.g., disease resistance, biofortification).

Genomics, computational biology, and AI
  • Quantitative and population genetics, GWAS, genomic and phenomic prediction, and pangenome-enabled analyses.
  • Machine learning and computer vision applied to image, genomic, environmental, and process data - including predictive models for transformation efficiency and decision-support tools.
  • Bioinformatics and data integration across multimodal datasets, with strong programming skills (e.g., Python, R) and reproducible workflows.

Plant Biology, physiology, biochemistry, soil science, and microbiology
  • In-field high-throughput phenotyping to evaluate developmental timing and trajectories, reproductive and vegetative yield, below-ground architecture and root anatomy, and senescence dynamics.
  • Analytical characterization of grain and root quality - protein digestibility, amino acid profiling, mineral and phytate content, and processing effects.
  • Plant-microbe interactions, including plant-virus interactions, arbuscular mycorrhizal fungi, nitrogen-fixing bacteria, and engineered microbial consortia for soil health.
  • Crop physiology related to regenerative agriculture systems, nutrient-use efficiency, water-use efficiency, drought and heat resilience, and stress tolerance.
  • Plant-soil interface dynamics, including the characterization of soil structure, chemical composition, and gas flux profiles within diverse cash and cover crop systems.

Qualifications
  • A PhD in plant biology, molecular biology, genetics, plant breeding, physiology, biochemistry, computational biology, agricultural engineering, agroecology, or a closely related field.
  • A record of scientific productivity, including peer-reviewed publications.
  • Specific requirements vary by laboratory; relevant hands-on experience in one or more of the skill areas above is expected for each position.

How to apply
Submit a cover letter (clearly indicating your areas of expertise and any project areas of particular interest), a curriculum vitae, and contact information for three references through the Danforth Center careers portal at danforthcenter.org/careers. Applications will be reviewed on a rolling basis until all positions are filled.