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Bioinformatic Jobs in Silver Spring, MD (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site +1

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and ...

Smithsonian Institution

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

Conduct and oversee research and analysis of bioinformatics projects in the analyses of genomic, transcriptomic, metagenomic and NGS (Next Generation Sequencing) or other genomic datasets. * Use ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

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All JobsBioinformatic JobsBioinformatic Jobs in Silver Spring, MD

Bioinformatic information

See Silver Spring, MD salary details

$56.2K

$99.1K

$143.3K

How much do bioinformatic jobs pay per year?

As of Aug 6, 2026, the average yearly pay for bioinformatic in Silver Spring, MD is $99,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $112,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the bioinformatic position?

To thrive as a Bioinformatician, you need a strong background in biology, computer science, and statistics, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python, R, or Perl, experience using bioinformatics tools and databases, and knowledge of data visualization platforms are typically expected. Problem-solving, strong communication, and the ability to work collaboratively are valued soft skills in this position. These competencies are essential for efficiently analyzing complex biological datasets, deriving actionable insights, and contributing to multidisciplinary research teams.

Is bioinformatics well paying?

Bioinformaticians typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like R or Python can enhance earning potential.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, researcher, software developer, and data scientist, focusing on analyzing biological data using computational tools and programming languages like Python or R. These positions often require knowledge of genomics, molecular biology, and experience with databases and algorithms, and may involve working in research institutions, biotech companies, or healthcare settings.

What is a bioinformatic?

A bioinformatics job involves using computational tools and techniques to analyze biological data, such as DNA sequences, protein structures, and gene expression patterns. Professionals in this field develop algorithms, manage large datasets, and apply statistical methods to extract meaningful insights from complex biological information. Bioinformaticians work in areas like genomics, drug discovery, personalized medicine, and agricultural research, often collaborating with biologists and data scientists.

What does a bioinformatic do?

Bioinformaticians typically spend their days analyzing biological data, developing and optimizing algorithms, and interpreting results in collaboration with laboratory scientists and researchers. You may work on tasks such as processing large-scale sequencing data, maintaining databases, and creating custom scripts to support specific research projects. Regular meetings with biologists, data analysts, and software engineers are common to ensure seamless integration of experimental and computational tasks. The collaborative nature of the role means Bioinformaticians often contribute to publications, share findings with team members, and help troubleshoot complex data challenges.

What are the most commonly searched types of Bioinformatic jobs in Silver Spring, MD? The most popular types of Bioinformatic jobs in Silver Spring, MD are:
What are popular job titles related to Bioinformatic jobs in Silver Spring, MD? For Bioinformatic jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Bioinformatic jobs in Silver Spring, MD look for? The top searched job categories for Bioinformatic jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Bioinformatic jobs? Cities near Silver Spring, MD with the most Bioinformatic job openings:
Bioinformatic jobs near you
Infographic showing various Bioinformatic job openings in Silver Spring, MD as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $99,114 per year, or $47.7 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 27 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role: 
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application’s (ORIVA) research validation and application programs across D-NICEATM and DAIBR. 
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research. 
 
Key Responsibilities: 
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets  
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives  
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support  
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages  
  5. Develop and update user support materials, websites, and training resources  
  6. Ensure all published materials meet 508-compliance standards  
  7. Present complex analytical results clearly to scientific and non-technical audiences  
  8. Support data validation, cleansing, and governance per NIH data quality standards 
 
Qualifications and Skills: 
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience  
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent  
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis  
  4. Experience managing and integrating large biomedical or genomic datasets  
  5. Strong background in statistical analysis, data modeling, and computational methods  
  6. U.S. citizenship required; ability to obtain Public Trust clearance 
 
Desired Skills and Competencies: 
  1. Expertise in NAMs or computational toxicology  
  2. Experience with NIH scientific databases and platforms  
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards  
  4. Prior NIH and/or HHS contractor experience  
  5. Experience with cloud platforms or HPC environments  
  6. Peer-reviewed publications in a related field     
 
Equal Opportunity Employer: 
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. 

Flexible work from home options available.