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Full Time Computer Science Bioinformatics Jobs in Richmond, VA

Statistics, Mathematics, Data Science, Computer Science, or Engineering * 4+ years of experience in ... Applicants must be currently authorized to work in the United States on a full-time basis.

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Statistics, Mathematics, Data Science, Computer Science, or Engineering * 4+ years of experience in ... Applicants must be currently authorized to work in the United States on a full-time basis.

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Full Time Computer Science Bioinformatics information

See Richmond, VA salary details

$5

$43

How much do full time computer science bioinformatics jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for full time computer science bioinformatics in Richmond, VA is $42.34, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $42.60 per hour, depending on experience, location, and employer.

What is a full time computer science bioinformatics?

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 skills and qualifications are needed for a full time computer science bioinformatics role?

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.

Infographic showing various Full Time Computer Science Bioinformatics job openings in Richmond, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $88,077 per year, or $42.3 per hour.

Computer Scientist Cybersecurity

Richmond, VA


Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies

People enjoy working here

Good employer

Recommended by students


$125K/yr

Full-time

Posted 4 days ago


Job description

WHAT IS THE CRIMINIAL INVESTIGATIONS DIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled
    • CI
      • Advanced Analytics & Innovation
      • Cyber & Forensic Services (DC area only)
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:

  • Demonstrated professional competence in applying the theoretical foundations of computer science, including the design, development and application of computer systems and architectures, artificial intelligence, natural language processing, deep learning, data ingestion, normalization, and ontologies.
  • Applying software exploitation techniques, cryptanalysis, or blockchain technology.
  • Interpreting and applying relevant mathematical and statistical sciences.
  • Working complex assignments in research, acquisition, design, development and maintenance of information systems for identifying and tracing movements in cryptocurrency, deanonymization of online actors, identifying suspicious activity, or analyzing and organizing large volumes of unstructured data.
  • Leading projects to design, acquire, and implement major prototype and developmental systems.
  • Making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.

AND
You must also meet the following requirements:

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER


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