Come Work at HJF!
HJF is seeking a Data Scientist to support the Austere environments Consortium for Enhanced Sepsis Outcomes (ACESO). ACESO aims to identify host-based markers capable of accurately diagnosing and prognosing patients with severe infections in austere settings and transitioning those markers to point-of-care assay platforms. The Data Scientist is responsible for analyzing complex data and developing insights through the use of statistical models, data mining, and data visualization techniques.
This position is based at The Henry M. Jackson Foundation (HJF) in Bethesda, Maryland, although alternate arrangements will be considered. HJF provides scientific, technical and programmatic support services for the worldwide ACESO program.
Required Knowledge, Skills, and Abilities: Experience with complex datasets, proficiency in statistical analysis, forecasting/predictive analytics, and algorithm optimization, experience with data mining/pattern recognition approaches; experience with topological data analysis preferred, strong programming skills, able to develop solutions to loosely defined problems, able to communicate effectively.
Minimum Education/Training Requirements: PhD in mathematics, statistics, computer science or related field. At least 2 years relevant experience.
Minimum Experience: 2–4 years of relevant experience
Physical Capabilities: Extended periods of sitting
Supervisory Responsibilities/Controls: May provide guidance to junior analysts
Work Environment: Office or laboratory environment
HJF is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.