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Full Time Computer Science Bioinformatics Jobs in Virginia

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

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 ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

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 ...

Booz Allen Hamilton

Bioinformaticist

Reston, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Bioinformaticist

Charlottesville, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsFull Time Computer Science Bioinformatics JobsFull Time Computer Science Bioinformatics Jobs in Virginia

Full Time Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What is the difference between Full Time Computer Science Bioinformatics vs Full Time Data Scientist?

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia? The most popular types of Computer Science Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Full Time Computer Science Bioinformatics jobs? Cities in Virginia with the most Full Time Computer Science Bioinformatics job openings:
Full Time Computer Science Bioinformatics jobs near you
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran, Inc.

Herndon, VA • On-site

Full-time

Posted 29 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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