Applied AI Scientist

Booz Allen Hamilton

About The Position

Applied AI Scientist The Opportunity: To achieve an organization's mission, leaders need strong team members who can create processes, communicate requirements, and develop innovative solutions throughout the execution of the mission. Whether completing an immediate task, recognizing a process gap, recommending a solution, or flexing to support an emerging requirement, our clients need an advisor who can help manage operations while managing responses to external inquiries in a timely manner. That is why we need you, an experienced Applied AI Scientist who can contribute expertise across the full lifecycle of AI system development: data aggregation and curation, model training and benchmarking, and deployment and validation in real-world clinical settings. As part of our team, you'll serve as a strategic technical advisor to the Advanced Research Projects Agency for Health (ARPA-H), helping conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. Work with world-class scientists and engineers to support the development of high-impact solutions to society's most challenging health problems. Leverage technical expertise to provide strategic assessments of new technologies in support to senior ARPA-H decision makers. Maintain responsibility for producing and presenting findings and recommendations to a team of colleagues and clients on the feasibility and potential impact of future research programs, assisting with the management of current programs, and facilitating the commercialization of successfully developed technologies. You'll serve as an Applied AI Scientist for Health, helping clients to critically assess technical approaches, advise program leadership, and ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability. You will be responsible for managing incoming requirements, facilitating engagements within offices and across the Agency, and will be readily available to shift your focus to fulfill emerging client requests. Your attention to detail, flexibility, communication skills, understanding of the client's mission, and problem-solving will enable the mission's success. Join us. The world can't wait.

Requirements

5+ years of experience with Applied AI in the Health domain
Experience applying advanced ML methods to complex health datasets, including clinical and biomedical data types, such as EHR, genomic, and imaging data
Experience in evaluation methods for AI/ML, including robustness, fairness, interpretability, and reproducibility
Experience in interacting and communicating with senior-level executives
Experience with using Microsoft Office, Excel, Word, and PowerPoint
Ability to review, critique, and guide AI/ML technical work at a high level
Ability to operate independently within a fast-paced start-up environment
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Master's degree in Computer Science, Machine Learning, or Data Science field

Nice To Haves

Experience working in technical advisory, evaluation, or SETA-style roles
Experience working with interdisciplinary teams, including clinicians and patient stakeholders
Experience in healthcare AI or biomedical applications
Experience with the rare disease field.
Possession of excellent oral and written communication skills
PhD in Computer Science, Machine Learning, Data Science, or related field

Responsibilities

Serve as a strategic technical advisor to the Advanced Research Projects Agency for Health (ARPA-H)
Conceptualize, create, and execute advanced government-funded research and development programs
Support the development of high-impact solutions to society's most challenging health problems
Provide strategic assessments of new technologies in support to senior ARPA-H decision makers
Produce and present findings and recommendations to a team of colleagues and clients
Assist with the management of current programs
Facilitate the commercialization of successfully developed technologies
Critically assess technical approaches
Advise program leadership
Ensure that funded performers and partners are meeting the highest standards of rigor, reproducibility, and real-world applicability
Manage incoming requirements
Facilitate engagements within offices and across the Agency
Shift focus to fulfill emerging client requests