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Bioinformatics Jobs in Silver Spring, MD (NOW HIRING)

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

Collaborators, bioinformatics platform developers, research institutions involved in SCD or microbiome studies, and funding agencies such as NIH and NSF. PRINCIPAL ACCOUNTABILITIES: • Perform ...

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Bioinformatics information

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$61.3K

$97.4K

$154.1K

How much do bioinformatics jobs pay per year?

As of Jun 16, 2026, the average yearly pay for bioinformatics in Silver Spring, MD is $97,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $133,500.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

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

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals 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 roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Silver Spring, MD? The most popular types of Bioinformatics jobs in Silver Spring, MD are:
What are popular job titles related to Bioinformatics jobs in Silver Spring, MD? For Bioinformatics jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Bioinformatics jobs in Silver Spring, MD look for? The top searched job categories for Bioinformatics jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Bioinformatics jobs? Cities near Silver Spring, MD with the most Bioinformatics job openings:
Infographic showing various Bioinformatics job openings in Silver Spring, MD as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $97,367 per year, or $46.8 per hour.
Bioinformatics Scientist (50861)

Bioinformatics Scientist (50861)

GAP SOLUTIONS INC

Baltimore, MD

Full-time

Posted 4 days ago


Job description

Position Objective: The Bioinformatics Scientist will provide support services to satisfy the overall operational objectives of the National Institute on Aging (NIA) within the National Institutes of Health (NIH). The primary objective is to provide services and deliverables through performance of support services.

Duties and Responsibilities:

  • Provide programming, data processing, and troubleshooting support for human population-based studies involving omics, clinical, phenotype, and wearable/sensor data 1
  • Assist with integration of laboratory-generated data with public and controlled-access datasets for downstream analysis and interpretation.
  • Perform computational analyses using established bioinformatics and statistical methods for multi-omics and wearable datasets and integrate them into epidemiologic research. 2
  • Support development, execution, testing, and documentation of reproducible analysis pipelines and workflows.
  • Collaborate with laboratory staff and trainees on study planning, data analysis, result interpretation, and troubleshooting for internal and collaborative projects.
  • Prepare reports, tables, figures, slides, and written summaries of analytical results for laboratory meetings, progress reports, and scientific presentations
  • Maintain clear documentation of methods, analyses, and results in laboratory records and shared project resources
  • Contribute computational support to manuscripts, presentations, and other scientific products.
  • Process raw data, including quality control, alignment, quantification, normalization, and generation of analysis-ready datasets 3
  • Analyze multi-omics, wearable and other longitudinal signal/-omics data using standard computational and statistical approaches.
  • Maintain and organize omics data, metadata, analysis files, and related records for different projects, including data tracking, harmonization, documentation, backup, and controlled sharing.
  • Help maintain laboratory databases, software tools, and computing resources used for bioinformatics analyses.
  • Provide large-scale genome-wide DNA and protein sequence analysis 4
  • Assist with development and maintenance of Oracle database for genomics and proteomics projects in the Translational Gerontology Branch TGB 5
  • Assist with development and maintenance of web tolls and web sites
  • Set up and maintain computer resources and networks of the Laboratory
  • Provide customer service by responding to questions about the LG web resources from researchers inside and outside the LG
  • Contribute to the publication of scientific reports
  • Provide computational support for members of the Laboratory
  • Maintain the computer and network system of the Laboratory
  • Clean equipment, inspect equipment, and meet with lab members to present updates.

Basic Qualifications:

  • Masters Degree in Biology or a science related field
  • Skilled in MS Office Suite

Minimum Qualifications:

  • Strong communication skills, both oral and written.
  • Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

This position is contingent upon contract award.