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Bioinformatics Machine Learning Jobs in Washington

Task Lead, PPRL

Bethesda, MD · On-site

$130K - $216K/yr

D. in computer science, bioinformatics, or a closely related field. * At least SIX (6) years ... Demonstratable knowledge of common artificial Intelligence (AI) and machine learning (ML) methods.

D. in computer science, bioinformatics, or a closely related field. * At least SIX (6) years ... Demonstratable knowledge of common artificial Intelligence (AI) and machine learning (ML) methods.

Familiarity with bioinformatics tools * Provide recommendations for innovative technologies and ... Experience with AI/ machine learning tools is beneficial * Ability to present to executive and ...

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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 7, 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:
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.

Task Lead, PPRL

Guidehouse

Bethesda, MD • On-site

$130K - $216K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:
Systems Engineering
Travel Required:
None
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
We are searching for a Task Lead to support privacy-preserving record linkage (PPRL) programs at the National Institutes of Health (NIH). The person in this role is accountable for all aspects of program delivery and providing high quality, on time deliverables. This is a full-time, onsite position in Bethesda, MD.
  • Accountable for all aspects of program delivery.
  • May oversee multiple program managers and/or project managers.
  • Are accountable for providing on-time, quality deliverables that meet SOW objectives while achieving satisfactory-to-superior customer satisfaction ratings.
  • Understand and manage key activities such as linkage production activities, technical and security matters related to privacy-preserving record linkage (PPRL) and matching automation.
  • Maintain clear and professional communication with team members and Program stakeholders.

What You Will Need:
  • Ph.D. in computer science, bioinformatics, or a closely related field.
  • At least SIX (6) years' technical experience managing Federal contracts.
  • Demonstratable knowledge of record linkage methodologies, such as probabilistic and deterministic, across datasets.
  • Demonstratable knowledge of common artificial Intelligence (AI) and machine learning (ML) methods.
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

What Would Be Nice To Have:
  • Knowledge of Federal data security and privacy requirements is beneficial.
  • Understanding statistical and analytical approaches would be valuable.
  • Familiarity with the NIH organizational structure would be helpful.

The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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