Data Scientist II

at  The Henry M Jackson Foundation for the Advancement of Military Medicine

JOIN THE HJF TEAM!

HJF is seeking a Data Scientist II to perform interdisciplinary research and development related to digitization efforts across the Military Health System (MHS) and Uniformed Services University (USU).
This position will be in support of The Center for Health Services Research (CHSR) at USU in Bethesda, MD. This position is focused on developing and applying AI/computational/modeling solutions to support the large-scale digitization initiatives across the MHS and USU.
The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF’s support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.

Responsibilities:

• Uses deep learning/AI techniques in developing, modeling, and testing applications designed to support digitization in the MHS and USU.
• Formulates research projects, develops innovative approaches, designs and implements experimental protocols related to computational models.
• Continuously surveys the scientific literature to generate novel ideas and advance projects and programs. Develops necessary new technologies and protocols.
• Trains, and in some instances supervises, junior research scientists.
• Collects, processes, and interprets experimental data and model outputs. Presents research methods and scientific concepts at appropriate scientific conferences.
• Prepares research proposals, progress reports, and manuscripts for submission to scientific journals and presents research methods and findings at appropriate forums. Contributes to white papers and policy documents.
• Assists in the identification, development, and maintenance of collaborations with both internal and external research groups for development of new approaches to existing research problems.
• May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.

EDUCATION AND EXPERIENCE

• Doctoral Degree in Epidemiology, Bioinformatics, or related discipline
• Minimum of 3-5 years experience required

OR

• Master’s degree in Epidemiology, Bioinformatics, or related field and 7-9 years of experience.

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES

• Proven experience with MHS databases
• Proven computational experience with solid knowledge of informatics tools and visualization/data mining package
• Proven proficiency in Machine Learning, AI, deep learning, and natural language models for development of new applications to appropriate Federal and DoD standards
• Proficiency in common database/programming/scripting languages (e.g., SQL, spaCy, Python, Perl, Java, MATLAB, C++) and their application in health services research
• Strong proficiency in SAS with ability to code, extract, clean, and analyze data independently
• Excellent communication skills
• Ability to troubleshoot technical procedures
• Good analytical skills
• Ability to work independently in a deadline-driven environment.

EQUAL OPPORTUNITY EMPLOYER/PROTECTED VETERANS/INDIVIDUALS WITH DISABILITIES

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer

SUPERVISORY RESPONSIBILITIES

• 
  Assigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations.
  Qualifications:

Responsibilities:

• Uses deep learning/AI techniques in developing, modeling, and testing applications designed to support digitization in the MHS and USU.
• Formulates research projects, develops innovative approaches, designs and implements experimental protocols related to computational models.
• Continuously surveys the scientific literature to generate novel ideas and advance projects and programs. Develops necessary new technologies and protocols.
• Trains, and in some instances supervises, junior research scientists.
• Collects, processes, and interprets experimental data and model outputs. Presents research methods and scientific concepts at appropriate scientific conferences.
• Prepares research proposals, progress reports, and manuscripts for submission to scientific journals and presents research methods and findings at appropriate forums. Contributes to white papers and policy documents.
• Assists in the identification, development, and maintenance of collaborations with both internal and external research groups for development of new approaches to existing research problems.
• May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role