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Bioinformatics Machine Learning Jobs in Virginia

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

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 ...

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

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

... Machine Learning (SciML). They will be expected to collaborate with members of the group as well as ... Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or ...

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Bioinformatics Machine Learning information

See Virginia salary details

$59K

$93.7K

$148.2K

How much do bioinformatics machine learning jobs pay per year?

As of Jun 18, 2026, the average yearly pay for bioinformatics machine learning in Virginia is $93,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $128,400.00 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 Virginia? The most popular types of Bioinformatics Machine Learning jobs in Virginia are:
What are popular job titles related to Bioinformatics Machine Learning jobs in Virginia? For Bioinformatics Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning jobs in Virginia look for? The top searched job categories for Bioinformatics Machine Learning jobs in Virginia are:
Bioinformaticist

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Bioinformaticist

The Opportunity:

Direct and coordinate the design, development, implementation, evaluation, and support functions for biometric and forensic systems. Apply advanced advisory skills or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and may supervise team members.

You Have:

  • 10+ years of experience in bioinformatics research, software development, and technical reporting
  • Experience in bioinformatics, data engineering, or biological data pipeline development
  • Experience with NoSQL for large-scale genomic datasets
  • Experience with containerization and orchestration using Docker or Kubernetes
  • Knowledge of data management using SQL-based technologies
  • TS/SCI clearance with a polygraph
  • Bachelor's degree

Nice If You Have:

  • Experience with bioinformatics and genomic packages, databases, and scripting languages, including Python and R
  • Experience with next-generation sequencing (NGS), omics data analysis, and open-source omics analysis tools and workflows
  • Experience orchestrating and parallelizing bioinformatics workflows using tools such as Snakemake, Nextflow, and Airflow, on hybrid cloud environments
  • Experience working in cloud-based environments using AWS GovCloud or Azure Government
  • Experience with supervised and unsupervised machine learning techniques, including classification or regression models, clustering algorithms, and graph-based approaches for biological data
  • Experience with bioinformatics visualization tools and workflow automation for secure pipelines

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914