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Python Bioinformatics Jobs in Virginia (NOW HIRING)

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Python * R * SQL * Clinical Data Analysis * Biomedical Datasets * HL7/FHIR * Statistical Analysis * Data Wrangling * Ontology Mapping * AI-Assisted Analysis * Git * Jupyter * APIs Preferred ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Python * R * SQL * Clinical Data Analysis * Biomedical Datasets * HL7/FHIR * Statistical Analysis * Data Wrangling * Ontology Mapping * AI-Assisted Analysis * Git * Jupyter * APIs Preferred ...

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

Python * R * SQL * Clinical Data Analysis * Biomedical Datasets * HL7/FHIR * Statistical Analysis * Data Wrangling * Ontology Mapping * AI-Assisted Analysis * Git * Jupyter * APIs Preferred ...

Booz Allen Hamilton

Bioinformaticist

Reston, VA

$99K - $225K/yr

Experience with bioinformatics and genomic packages, databases, and scripting languages, including Python and R * Experience with next-generation sequencing (NGS), omics data analysis, and open ...

Booz Allen Hamilton

Bioinformaticist

Reston, VA

$99K - $225K/yr

Experience with bioinformatics and genomic packages, databases, and scripting languages, including Python and R * Experience with next-generation sequencing (NGS), omics data analysis, and open ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Python, R, Perl, or equivalent * Experience with bioinformatics tools, databases, and high-throughput data analysis * Experience managing and integrating large biomedical or genomic datasets * Strong ...

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How much do python bioinformatics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for python bioinformatics in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python Bioinformatics job?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

What does a typical workday look like for a Python Bioinformatics professional?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

What are the key skills and qualifications needed to thrive in the Python Bioinformatics position, and why are they important?

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

What are the most commonly searched types of Python Bioinformatics jobs in Virginia? The most popular types of Python Bioinformatics jobs in Virginia are:
What are popular job titles related to Python Bioinformatics jobs in Virginia? For Python Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Bioinformatics jobs in Virginia look for? The top searched job categories for Python Bioinformatics jobs in Virginia are:
Python Bioinformatics jobs near you
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran Inc

Herndon, VA

Other

Posted 18 days ago

Job description

Experience Required

7+ Years

Position Overview

We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.

Key Responsibilities
  • Support biomedical and clinical research data analysis initiatives.
  • Analyze structured and unstructured clinical datasets.
  • Develop and maintain data pipelines for healthcare analytics projects.
  • Support AI/ML and predictive analytics initiatives in healthcare environments.
  • Collaborate with data scientists, clinicians, and research teams.
  • Perform statistical analysis and data wrangling activities.
  • Implement ontology mapping and clinical data harmonization.
  • Ensure compliance with healthcare and regulatory data standards.
  • Develop APIs and integration workflows for healthcare data systems.
  • Document technical processes and analytical methodologies.
Required Qualifications
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline.
  • 7+ years of professional experience in bioinformatics or healthcare analytics.
  • Experience supporting biomedical or clinical research data analysis initiatives.
  • Strong understanding of healthcare and life sciences environments.
  • Hands-on experience with clinical datasets and healthcare interoperability.
Required Skills
  • Python
  • R
  • SQL
  • Clinical Data Analysis
  • Biomedical Datasets
  • HL7/FHIR
  • Statistical Analysis
  • Data Wrangling
  • Ontology Mapping
  • AI-Assisted Analysis
  • Git
  • Jupyter
  • APIs
Preferred Qualifications
  • AWS Certified Data Analytics Certification
  • Certified Health Data Analyst (CHDA)
  • SAS Certifications
Work Environment
  • Experience working in healthcare, biomedical, or regulated environments preferred.
  • Ability to work independently and collaboratively in cross-functional teams.
Equal Opportunity Employer

We are an Equal Opportunity Employer and value diversity at all levels.

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