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Bio Computer Science Jobs in Washington (NOW HIRING)

Data Scientist

Suitland, MD · On-site

$106K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit ...

... AI x Bio topics. Research Analysts are expected to apply scientific and technical expertise to ... A degree in engineering, computer science, or a discipline related to life science. * Proven ...

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Bio Computer Science information

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$22K

$74K

$157.8K

How much do bio computer science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bio computer science in Washington is $74,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,557.00 and $101,998.00 per year, depending on experience, location, and employer.

What is bio computer science?

Bio computer science is an interdisciplinary field that combines biology, computer science, and information technology to analyze and interpret biological data. It involves the use of computational tools and techniques to solve complex biological problems, such as understanding genetic sequences, protein structures, and cellular processes. Professionals in this field develop algorithms, databases, and software to help researchers make sense of large amounts of biological information, which can lead to advancements in medicine, genetics, and biotechnology.

What are the key skills and qualifications needed to thrive as a bio computer scientist, and why are they important?

To thrive as a Bioinformatics Computer Scientist, you need a strong background in computer science, biology, and mathematics, typically supported by a relevant degree such as bioinformatics, computational biology, or computer science. Experience with programming languages (like Python, R, or Java), data analysis tools, and bioinformatics platforms such as BLAST or Bioconductor is essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills enable accurate analysis and meaningful insights in biological research, supporting advancements in healthcare and life sciences.

What are some common challenges faced by professionals working in bio computer science, and how can they be addressed?

Professionals in Bio Computer Science often face challenges related to integrating large, complex biological datasets with advanced computational tools. Navigating interdisciplinary communication between biologists and computer scientists can be demanding, as each field has its own terminology and methodologies. To address these challenges, it's helpful to proactively develop strong communication skills, stay current with both biological and computational advancements, and participate in collaborative projects or cross-disciplinary workshops. Building a robust professional network within both domains can also facilitate smoother project workflows and foster innovation.

What is the difference between Bio Computer Science vs Bioinformatics?

AspectBio Computer ScienceBioinformatics
Required CredentialsBachelor's or Master's in Computer Science, Bioinformatics, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, healthcare, biotech companies, academiaResearch labs, healthcare, biotech, pharmaceutical industries
Employer & Industry UsageTech-driven biotech firms, research institutionsHealthcare, biotech, pharmaceutical companies
Common Search & Comparison IntentUnderstanding technical roles combining biology and computingUnderstanding bioinformatics roles focusing on biological data analysis

Bio Computer Science focuses on applying computer science principles to biological problems, often involving software development and data analysis. Bioinformatics emphasizes analyzing biological data, such as genetic sequences, using computational tools. While both fields overlap, Bio Computer Science leans more toward software engineering, whereas Bioinformatics centers on biological data interpretation.

What are the job opportunities for bio computer science?

Bio computer science professionals can find job opportunities in healthcare, biotechnology, pharmaceuticals, and research institutions, working as bioinformatics analysts, computational biologists, data scientists, or software developers. These roles often require skills in programming, data analysis, and understanding of biological systems, with employment available in academic, industry, and government sectors.

What can you do with a bio computer science degree?

A bio computer science degree prepares individuals for roles such as bioinformatics analyst, computational biologist, or research scientist, involving data analysis, algorithm development, and software tools for biological data. Graduates often work in healthcare, research institutions, or biotech companies, utilizing programming skills and knowledge of biology and computer science. Certifications in programming languages or data analysis can enhance job prospects.
Infographic showing various Bio Computer Science job openings in Washington as of August 2026, with employment types broken down into 29% Full Time, 33% Part Time, 18% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $74,012 per year, or $35.6 per hour.

$106K/yr

Full-time

Re-posted 4 days ago


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Job description

This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), with 2 vacancies in one of the listed locations.
Qualifications:

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/
BASIC REQUIREMENTS: This position requires applicants to meet the Basic Education Requirement in addition to at least one full year (52 weeks) of specialized experience in order to be found minimally qualified. Transcripts must be submitted with an application package. You MUST meet one of the following basic education requirements:
To qualify for the 1560 series:
EDUCATION:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
-AND-
SPECIALIZED EXPERIENCE:
Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations e.g., professional; philanthropic, religious; spiritual; community, student, social). Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
To qualify at the ZP-4 or GS-13 level:
SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirement above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-3 or GS-12 in the Federal service. Specialized experience MUST include all of the following:

  • Analyzing data related to workforce management;
  • Utilizing programming or statistical software suites (i.e. R, Python, SAS, SPSS, STATA, Tableau, PowerBI, etc.) to construct predictive models or machine learning algorithms; and
  • Creating infographics, visualizations, or reports conveying insights derived from data analysis.
Education:

Substitution of education for specialized experience is not applicable to this vacancy.
College Transcript: If you are qualifying based on education, submit a copy of your college transcript that lists college courses detailing each course by the number and department (i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit hours and grade earned. You must submit evidence that any education completed in a foreign institution is equivalent to U.S. education standards with your resume. You may submit an unofficial copy of the transcript at the initial phase of the application process. If course content cannot be easily identified from the title of the course as listed on your transcript, you must submit an official course description from the college/university that reflects the content at the time the course was taken.
Note: Your college transcript is used to verify successful completion of degree, or college course work. An official college transcript will be required before you can report to duty.
Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit: OPM Foreign Education Evaluation.

Employment Type: OTHER

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