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Amentum ARPA-H – Senior AI/ML Support in Arlington, Virginia

ARPA-H – Senior AI/ML Support

Amentum is looking for experienced personnel to expand our healthcare technology development support capabilities at the Advanced Research Projects Agency for Health (ARPA-H).

Founded in 2022, ARPA-H is a Federal research funding agency that supports transformative biomedical and health breakthroughs – ranging from the molecular to the societal – to provide health solutions for all. ARPA-H advances high-potential, high-impact biomedical and health research that cannot be readily accomplished through traditional research or commercial activity to develop solutions to society's most challenging health problems.

Specifically, we are seeking talented individuals with expertise in machine learning and natural language processing for the following roles:

  • AI/ML Engineer: Develop and implement cutting-edge AI/ML models for healthcare applications, with a focus on natural language processing and its application to ARPA-H's mission.

  • Research Scientist: Conduct research and development in the areas of language modeling, statistical or key-phrase extraction, and medical applications of NLP.

Responsibilities:

  • Develop and implement AI/ML models for healthcare applications

  • Conduct research and development in NLP and related areas

  • Analyze data, conduct experiments, and evaluate model performance

  • Collaborate with government and industry partners to advance health technology initiatives

  • Provide technical expertise and support to ARPA-H programs

  • Publish research findings in peer-reviewed journals and conferences

Minimum Requirements:

  • PhD in Biosystems Engineering, Computer Science, or a related scientific field

  • 8+ years of relevant experience

  • Extensive experience in machine learning and natural language processing

  • Strong understanding of NLP techniques and algorithms

  • Experience with data analysis and model development

  • Excellent programming skills (e.g. Python)

  • Must be able to obtain and maintain a Public Trust US Government Clearance.Note: US Citizenship is required to obtain a Public Trust Clearance.

Preferred Experience:

  • Experience in computational replication

  • Experience in language modeling, statistical or key-phrase extraction, and medical applications of NLP

  • Familiarity with healthcare data and terminologies

  • ARPA-H, NIH, or other federal grant program experience

  • Experience working with ARPA-H

  • Experience as a Principal Investigator in a research study

  • Expertise in the acquisition of new programs, solicitations, and contracting actions

  • Other ARPA agency (DARPA, IARPA, ARPA-E, etc.) experience

  • National Institute of Health (NIH), Department of Health and Human Services (HHS), or Department of Defense (DoD) experience

  • Experience in a R&D environment

The ARPA-H campus is located in McPherson Square in Washington DC. Hybrid and telework options are likely but residence within Washington, DC metropolitan area is desired.

Amentum offers a competitive total compensation package, including multiple healthcare options, a 401K with no vesting period for company matching, and 10 federal holidays.

Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran’s status, ancestry, sexual orientation, gender identity, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans (https://www.dol.gov/agencies/ofccp/posters) and Labor Laws Posters (https://protect-us.mimecast.com/s/MI5TC2kqOqsOBPMVfnZ32U) .

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