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Bioinformatics Machine Learning Jobs in Washington

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and ...

Axle

Bioinformatics Scientist

Bethesda, MD

Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and ...

Axle

Bioinformatics Scientist

Bethesda, MD

Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and ...

RTX

Bioinformatics Analyst - (Hybrid)

Arlington, VA · On-site

A Bachelor's degree in Biology, Bioinformatics, Computational Biology, or related field ... Experience using artificial intelligence and/or machine learning tools to generate analytical ...

RTX

Bioinformatics Analyst - (Hybrid)

Columbia, MD · On-site

A Bachelor's degree in Biology, Bioinformatics, Computational Biology, or related field ... Experience using artificial intelligence and/or machine learning tools to generate analytical ...

RTX

Bioinformatics Analyst Hybrid

Columbia, MD · On-site

A Bachelor's degree in Biology, Bioinformatics, Computational Biology, or related field ... Experience using artificial intelligence and/or machine learning tools to generate analytical ...

Booz Allen Hamilton

Bioinformaticist

Reston, VA · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Booz Allen Hamilton

Bioinformaticist

Washington, DC · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Booz Allen Hamilton

Bioinformaticist

Mclean, VA · On-site

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

Booz Allen Hamilton

Bioinformaticist

Reston, VA

$99K - $225K/yr

... machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data * Experience with bioinformatics visualization tools ...

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Bioinformatics Machine Learning information

See Washington salary details

$67.4K

$107K

$169.3K

How much do bioinformatics machine learning jobs pay per year?

As of Jun 6, 2026, the average yearly pay for bioinformatics machine learning in Washington is $107,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Machine Learning job?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a Bioinformatics Machine Learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

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

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Washington? The most popular types of Bioinformatics Machine Learning jobs in Washington are:
What are popular job titles related to Bioinformatics Machine Learning jobs in Washington? For Bioinformatics Machine Learning jobs in Washington, the most frequently searched job titles are:
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Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in Washington as of May 2026, with employment types broken down into 98% Full Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $107,001 per year, or $51.4 per hour.
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

Posted 5 days ago

Job description

GENERAL DESCRIPTION:

We are seeking a proficient Senior Data Scientist within Precigen’s Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them to lab scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development.

DUTIES AND RESPONSIBILITIES:

  • Perform computational analysis of DNA and RNA sequences.
  • Perform statistical analyses on experimental data from molecular and cell biology, immunology and oncology.
  • Mine clinical data with machine learning methods.
  • Perform computational analysis of protein sequence data.
  • Visualize and communicate analysis results to biologists.
  • Contribute to scientific writing.


EDUCATION AND EXPERIENCE:

  • PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics or a related discipline.
  • Five or more years of experience with computational DNA analysis (insertion analysis, variant analysis), bulk and single cell RNA analysis, expression analysis, and pathway analysis.
  • Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
  • Good knowledge of statistics.
  • Familiarity with the Unix/Linux command line.
  • Strong programming skills in R and Perl.
  • Extensive experience with data analysis and visualization.
  • Knowledge of and experience with machine learning concepts and methods.
  • Experience with protein sequence analysis from mass spectrometry data.
  • Familiarity with AI-based tools is appreciated.

DESIRED KEY COMPETENCIES:

  • Capable of adapting to rapidly changing and developing requirements.
  • The candidate can engage effectively with scientists to understand the design, rationale, and scientific context of lab experiments, ensuring that data analyses align with experimental goals.
  • They can clearly communicate the methods, reasoning, results, and interpretations of their analyses within the Bioinformatics team and across research groups.
  • Ready to seek, accept, and provide feedback and advice from and to team colleagues and management.
  • Communicates issues and problems openly and early.
  • Exhibits high performance both independently and in a team setting.
  • Delivers work on schedule and within agreed timeframes.
  • Is comfortable with communicating predominantly via electronic means.
  • Effectively conveys information in a clear, structured manner.
  • Can interact proficiently in an international and culturally diverse environment where not everyone is a native speaker of English.
  • Sufficient language skills in German to discuss professional matters are a plus.


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