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Python Biology Jobs in Missouri (NOW HIRING)

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

Washington University of St. Louis

Develop computational workflows for spatial biology and imaging data analysis using R, Python, or related tools. * Design experiments, analyze data, troubleshoot technical challenges, and critically ...

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Python Biology information

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.

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?

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.
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, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Principal Scientist - Data Insights, Hypothesis Design

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • Ensure the scientific coherence of Tempus’ multimodal data platform
  • Bridge the gap between complex molecular science and scalable data engineering
  • Conduct rigorous data evaluations, write technical code (SQL, R, Python), and prototype new data offerings
  • Deliver implementation‑ready table and column specifications to seamlessly transition initial concepts into scalable, production‑grade offerings
  • Translate complex client research objectives across drug discovery and development lifecycle into actionable clinico‑genomic data strategies
  • Ensure seamless alignment between client hypotheses and Tempus capabilities
  • Evaluate datasets, perform User Acceptance Testing (UAT), and build data insight reports
  • Support the continuous growth and scaling of Tempus' expanding clinical‑genomic footprint across diverse disease domains
Requirements
  • PhD in a quantitative, NGS‑related discipline (e.g., Computational Biology, Genetics, Bioinformatics, Systems Biology)
  • 6+ years of industry experience across precision medicine, translational research, scientific product development, or related commercial and operational areas
  • Deep expertise in at least one of oncology, neurology, or immunology
  • Strong, demonstrable experience analyzing large‑scale clinico‑genomic datasets across multiple disease areas
  • Proven experience collaborating directly with data engineering and platform teams to build large‑scale relational databases and design advanced SQL data models
  • Active, up‑to‑date expertise with cutting‑edge computational modeling, including experience leveraging foundation models, generative AI architectures, and agentic workflows
  • Deep expertise executing multi‑omic analyses across a diverse spectrum of high‑throughput sequencing applications and biotechnologies
  • Proven experience bringing data to market and translating scientific analyses into production‑grade data products or clinical‑facing solutions
  • Proficiency in Python and/or R for reproducible scientific analysis, workflow development, and data visualization
  • Strong cross‑functional communication skills with the ability to architect end‑to‑end execution plans, manage client expectations, and mentor technical peers through structured delegation
Core Competencies

Demonstrates expertise in analyzing large‑scale clinico‑genomic datasets and translating complex scientific analyses into production‑grade data products. Proficient in SQL, Python, and R, with a strong background in precision medicine and multi‑omic analyses across various disease domains.

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