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Python Biology Jobs in Houston, TX (NOW HIRING)

Octopus Energy Group

Backend Engineer II

Houston, TX · On-site

$108 - $138/hr

Python * Django (or equivalent web framework) * Domain modeling * GraphQL * Writing robust and ... Parental leave - Biological, adoptive, and foster parents are all eligible. * Pre‑tax commuter ...

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

D (or equivalent) degree in epidemiology, bioinformatics, biostatistics, computational biology ... Python) are required, preferably in a cluster computing environment Early and promising track ...

MD Anderson

Postdoctoral Fellow - Epidemiology

Houston, TX · On-site +1

$64K - $76K/yr

D. (or equivalent) degree in epidemiology, bioinformatics, biostatistics, computational biology ... or Python) are required, preferably in a cluster computing environment • Early and promising ...

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How much do python biology jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python biology in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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 are popular job titles related to Python Biology jobs in Houston, TX?

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

What job categories do people searching Python Biology jobs in Houston, TX look for?

The top searched job categories for Python Biology jobs in Houston, TX are:

What cities near Houston, TX are hiring for Python Biology jobs?

Cities near Houston, TX with the most Python Biology job openings:

Python Biology jobs near you
Infographic showing various Python Biology job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Senior Scientific Programmer

Baylor College of Medicine

Houston, TX

Full-time

Posted 9 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

191st of 631 rated colleges and universities

Job description

Summary

The Alkek Center for Metagenomics and Microbiome Research Center (CMMR) is an integral part of the Baylor College of Medicine strategic plan and serves as a hub for translational microbiome and virome research by: 1) providing sequencing, informatics, and microbiological expertise and resources to drive and support clinical and basic research microbial genomics studies, 2) providing the infrastructure and critical mass of expertise to explore host-microbe interactions, 3) driving technology and analytical development to improve metagenomic capabilities for characterizing bacterial, viral, and fungal communities, and 4) translating new discoveries into the realm of personalized medicine where new therapeutics and diagnostics may be implemented. Over the past 10 years, we’ve collaborated on more than 1000 projects with over 300 research groups from around the world. 

The CMMR is seeking a highly motivated Senior Scientific Programmer for the Metagenomics and Microbiome Research Center to develop and apply computational approaches supporting microbiome and viral genomics research. This individual will develop scalable bioinformatics workflows, analyze high-throughput sequencing datasets, and collaborate with investigators and research staff to support translational microbiome and virome studies. The successful candidate will combine expertise in bioinformatics, software development, and scientific computing to support innovative research projects, core service activities, and method development initiatives.

Job Duties

Collaboration and Technical Contributions

• Collaborates with CMMR laboratory, informatics, and research teams to support project execution, core operations, and software development initiatives.
• Contributes to best practices in bioinformatics tool development, reproducible research, scientific computing, data management, and collaborative code development.
• Under limited supervision, works closely with investigators and researchers to understand project goals and develop computational solutions to address scientific questions.
• Documents analytical workflows and provide guidance to researchers on the use of computational tools and resources.

Bioinformatics and Software Development

• Develops, maintains, and optimizes automated bioinformatics pipelines for processing and analyzing high-throughput sequencing data.
• Develops, tests, and maintains bioinformatics software tools, databases, and analytical applications supporting genomics, microbiome, and virome research.
• Collaborate with research staff to evaluate, develop, and implement new computational methods, workflows, and analytical approaches.
• Develops interactive applications, dashboards, and data exploration tools using technologies such as R Shiny and related frameworks.
• Applies programming expertise in Python, R, Bash, and workflow management systems such as Snakemake or Nextflow.
• Performs genome assembly, annotation, comparative genomics, metagenomics, and related analyses supporting microbiome and virome research.

Computational Infrastructure and Data Management

• Utilizes and support high-performance computing (HPC) environments, including software deployment, pipeline configuration, troubleshooting, and data transfer processes.
• Develops and maintain database-driven research applications and data management systems supporting laboratory operations, core services, and collaborative research projects.
• Curates, manage, and analyze large-scale biological datasets while ensuring data integrity, accessibility, reproducibility, and long-term sustainability.
• Contributes to the implementation and maintenance of computational workflows and software environments using modern development and deployment practices.

Research and Scientific Contributions

• Collaborates with multidisciplinary research teams on genomics, metagenomics, microbiome, and virome research initiatives.
• Contributes computational and analytical expertise to grant proposals, research planning, and new project development.
• Contributes to scientific manuscripts, presentations, software documentation, technical reports, and user documentation for computational tools and research systems.
• Stays informed of emerging bioinformatics methods, technologies, and best practices relevant to microbial genomics research.

Minimum Qualifications
  • Bachelor's degree in Management Information Systems, Computer Science, or a related field. Four years of related experience may substitute for degree requirement.
  • Three years of relevant experience.
Preferred Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Biology, or a related discipline.
• Familiarity with cloud computing platforms or Trusted Research Environments (AWS, Azure, or Google Cloud).
• Experience managing large biological datasets and databases, including proficiency with relational databases such as SQL.
• Experience with Amazon DynamoDB or equivalent NoSQL database technologies.
• Demonstrated contributions to peer-reviewed publications, software projects, or grant applications.
• Experience developing web-based scientific applications, interactive data visualization tools, or researcher-facing analytical resources.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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