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Bioinformatics Engineering Jobs in Washington, DC

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

Proficiency in Python, R, or another scientific programming language for biological data analysis. * Experience using standard bioinformatics tools for sequence alignment and genomic analysis.

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site

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 ...

Ariadne

NCBI Software Developer (C++, Python)

Bethesda, MD · On-site

$120 - $160/hr

Ariadne 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 onsite at the NIH in Bethesda ...

New

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 ...

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Showing results 21-40

All JobsBioinformatics Engineering JobsBioinformatics Engineering Jobs in Washington, DC

Bioinformatics Engineering information

See Washington, DC salary details

$48.7K

$148.4K

$270.1K

How much do bioinformatics engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for bioinformatics engineering in Washington, DC is $148,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $177,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in Washington, DC?

For Bioinformatics Engineering jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in Washington, DC look for?

The top searched job categories for Bioinformatics Engineering jobs in Washington, DC are:

Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $148,430 per year, or $71.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Washington, DC • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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