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Python Biology Jobs in Pittsburgh, PA (NOW HIRING)

Belcan

Technical Assistant I

Monroeville, PA · On-site

$25/hr

... Python or VBA is highly valued. Key responsibilities: * Cover test entry, scheduling, testing, to ... A bachelor's degree in chemistry preferred, or an adjacent major including: biology, biochemistry ...

Belcan

Technical Assistant I

Monroeville, PA · On-site

$25/hr

... Python or VBA is highly valued. Key responsibilities: * Cover test entry, scheduling, testing, to ... A bachelor's degree in chemistry preferred, or an adjacent major including: biology, biochemistry ...

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All JobsPython Biology JobsPython Biology Jobs in Pittsburgh, PA

Python Biology information

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How much do python biology jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for python biology in Pittsburgh, PA is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.66 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.

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 Pittsburgh, PA? For Python Biology jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Python Biology jobs in Pittsburgh, PA look for? The top searched job categories for Python Biology jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Python Biology jobs? Cities near Pittsburgh, PA with the most Python Biology job openings:
Python Biology jobs near you
Infographic showing various Python Biology job openings in Pittsburgh, PA 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, with an average salary of $118,374 per year, or $56.9 per hour.

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA

$47K - $64K/yr

Full-time

Re-posted 13 days ago

Job description

Postdoctoral Associate in AI-Driven Omics Analysis and Drug Discovery at the Vascular Medicine Institute, Department of Medicine, School of Medicine, University of Pittsburgh 

The Vascular Medicine Institute at the University of Pittsburgh is seeking a highly motivated postdoctoral associate to join a computational research program focused on AI-driven omics analysis, systems biology, and therapeutic discovery. The successful candidate will develop and apply computational and deep learning approaches to understand how complex biological stressors drive molecular, cellular, and organ dysfunction, and to identify therapeutic strategies for disease treatments. The project will involve large-scale analysis and integration of transcriptomics, single-cell RNA-seq, and other omics modalities.

Our research group operates at the intersection of computational biology, systems medicine, and translational science within the Vascular Medicine Institute. We focus on integrating large-scale omics data with mechanistic modeling to uncover systemic drivers of disease. This position provides a unique opportunity to develop broadly applicable computational frameworks for understanding organ dysfunction and therapeutic intervention.

Major duties:

  • Develop and apply AI/deep learning models for omics-based disease mechanism discovery and therapeutic prediction.
  • Analyze and integrate high-throughput omics datasets, including bulk RNA-seq, single-cell/nuclei RNA-seq, epigenomics, proteomics, metabolomics, and genomics.
  • Develop and refine drug-repurposing and target-prioritization algorithms using disease signatures, perturbation datasets, signaling networks, and drug-target databases.
  • Build computational pipelines for preprocessing, quality control, harmonization, and integration of public and internal omics datasets.

Minimum Requirements for the candidate:

  • PhD in statistical learning, computational biology, systems biology, data science, or a related quantitative discipline.
  • Fluency in Python programming language
  • Experience with high-throughput omics data analysis
  • Strong foundation in statistics, machine learning, mathematics, and biological data interpretation

Interested applicants should apply via join.pitt.edu Requisition #26003687

Apply