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Python Biology Jobs in Missouri (NOW HIRING)

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Bioinformatics Scientist

California, MO · On-site

$120 - $180/hr

Computational skills using Python and/or R, including data science and biological computing libraries * Expertise with AWS or GCP, Docker, and workflow management tools such as Nextflow or Snakemake

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Lead reproducible analysis pipelines in R, Python, or related frameworks * Interpret results in biological and clinical context, with emphasis on Alzheimer's disease mechanisms and biomarkers

micro1 AI

Bioinformatics Software Engineer

Saint Louis, MO · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Bioinformatics Software Engineer

Columbia, MO · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

micro1 AI

Cheminformatics Specialist - Remote

Columbia, MO · Remote

$80 - $110/hr

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

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Python Biology information

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 are popular job titles related to Python Biology jobs in Missouri?

For Python Biology jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Python Biology jobs in Missouri look for?

The top searched job categories for Python Biology jobs in Missouri are:

What cities in Missouri are hiring for Python Biology jobs?

Cities in Missouri with the most Python Biology job openings:

Python Biology jobs near you
Infographic showing various Python Biology job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 3% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Scientist, AI Computational Structural Biology

Jobtailor

California, MO • On-site

$150 - $230/hr

Other

Posted 11 days ago

Job description

Responsibilities
  • Develop AI/ML models to predict structural biomolecular interactions for novel modalities leveraging protein-protein interactions.
  • Design innovative AI/ML approaches to predict protein cooperativity, affinity & other biological properties based on structures.
  • Develop co-folding models that incorporate structural and non-structural priors using combinations of public and proprietary BMS data.
  • Develop AI/ML models that leverage chemoproteomics data contributing to the generation of novel druggability hypotheses for hard-to-drug targets.
  • Author scientific reports, and present methods, results, and conclusions to publishable standard.
  • Contribute to the planning and execution of collaborative projects with leading academic and commercial research groups worldwide.
Qualifications
  • Bachelor's Degree
  • 7+ years of academic / industry experience
  • Or Master's Degree
  • 5+ years of academic / industry experience
  • Or PhD
  • 2+ years of academic / industry experience
  • AI/ML & Deep Learning: Proven experience developing and deploying AI/ML models in biological or biochemical contexts, with proficiency in deep learning architectures for structural data (GNNs, equivariant neural networks, transformers, diffusion, flow matching) using Python and relevant libraries (PyTorch, JAX, RDKit, ESM/fair-esm, Biopython, etc.).
  • Structural Biology and Co-folding: Deep expertise in protein-protein interactions, protein folding, and biomolecular complex formation, with hands‑on experience in structure prediction and co-folding frameworks (e.g. AlphaFold2, AlphaFold-Multimer, RoseTTAFold2, Boltz, Chai-1, NeuraPlexer, or equivalent).
  • Multi-Omics Data Integration: Ability to integrate and analyze multimodal datasets—including structural, genomic, and proteomic data—from both public and proprietary sources, with experience developing algorithms to interpret genomics and proteomics data.
  • Chemoproteomics & induced proximity: Familiarity with chemoproteomics data for druggability and ligandability assessment is preferred. Experience with induced proximity modalities (for example, PROTACs, molecular glues, and bifunctional molecules) is appreciated but not required.
  • Strong problem‑solving mindset with the ability to design novel computational approaches for challenging biological questions.
  • Experience contributing to or leading collaborative research projects with academic and/or industry partners.
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