AI/ML Technical SETA (#24-068), Washington, Virginia

Created 05/03/2024
Reference 240390854
Country United States
State Virginia
City Washington
Zip 20010
Salary -

Strategic Analysis, Inc.

Strategic Analysis, Inc. is an EOE Minorities/Females/Disabled/Veterans.

Job Code: 24-068
Location: Washington, D.C. - Hybrid
FT/PT Status: Full Time
Required Clearance: Ability To Obtain a Public Trust


Strategic Analysis, Inc (SA) is seeking a versatile, skilled AI/ML Technical SETA to support the Advanced Research Projects Agency for Health (ARPA-H) activities. ARPA-H Resilient Systems Office requires a Technical SETA to play a crucial role in the planning, coordination, and execution of related activities within the ARPA-H organization.

Some travel required.
Specific Duties Required:
  • Work closely with ARPA-H Program Manager and leaders in state-of-the art applications of AI in medicine.
  • Contribute to all aspects of the program lifecycle, including design, soliciting solutions, and evaluating proposed solutions, attending stakeholder engagements, before and after solicitations and assist with performance assessments.
  • Interact with experts from industry, academia, clinical sites, and the government to help shape the next generation of healthcare AI systems in the US.
  • Use in depth technical knowledge and understanding to critically contribute to successful launch and execution of bold, transformative programs.

Qualifications:
Education: PhD.in Computer Science, Engineering, Physics, Math, Statistics or related field
Experience required:
  • Previous work in artificial intelligence in healthcare with a proven record of publications and/or in-depth work.
  • Previous work with large medical datasets, including issues with data quality and variability, scalability, annotation, and ground truth, bias and generalizability.
  • Proven ability to work with a range of stakeholders, including technical experts, and clinicians.
  • Familiarity with deep learning techniques, including neural network architectures, training techniques and model efficiency.
  • Familiarity/ previous work with one or more of the following areas: Machine Learning for medical diagnosis, applications of AI in electronic health records, reductive analysis, natural language processing and interface between AI and clinicians.
  • Excellent oral and written communication skills.
  • Ability to multitask, excellent organizational skills, and manage priorities and meet deadlines.
Clearance: HHS, NIH Public Trust (Ability to obtain)







PI240390854

Employer Strategic Analysis, Inc.

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