Cloud Bioinformatics and AI Specialist

Booz Allen Hamilton•Bethesda, MD

6d•$69,400 - $158,000•Remote

About The Position

Our government client is seeking a Cloud Bioinformatics and AI Specialist to utilize cloud environments and software, including AI, to modernize biomedical research. In this role, you will provide expertise in the creation of resources to guide the scientific communities’ use of cloud. You will work with government stakeholders and vendors to identify needs for workforce development regarding scientific computational and AI use cases and develop training and tutorial materials. You will utilize experience using cloud tools and AI in a research environment. You will also prepare reference materials such as FAQs or Knowledge Base articles for the government to use in their support of cloud enterprise software.

Requirements

5+ years of experience delivering bioinformatics, computational biology, or scientific AI projects
Experience providing recommendations and support in the development and implementation of AI models and applications in cloud environments
Ability to manage a variety of tasks and establish priorities
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Nice To Haves

Experience with cloud-based services at AWS, GCP, or Azure
Experience with prompt engineering, including with a research or computer science perspective
Experience with open source and private LLM
Experience evaluating new AI technologies and determining their potential impact for customers
Experience developing and implementing best practices and standards for AI development and support
Ability to develop, maintain, and share documentation related to AI applications
Ability to work closely with multi-functional teams
Possession of excellent written and verbal communication and interpersonal skills

Responsibilities

Provide expertise in the creation of resources to guide the scientific communities’ use of cloud.
Work with government stakeholders and vendors to identify needs for workforce development regarding scientific computational and AI use cases.
Develop training and tutorial materials.
Utilize experience using cloud tools and AI in a research environment.
Prepare reference materials such as FAQs or Knowledge Base articles for the government to use in their support of cloud enterprise software.