Medical Science & Computing (MSC), a Dovel company, is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

MSC is searching for a Health Science Analyst to provide support to the National Institutes of Health (NIH). This opportunity is a full-time position with MSC and it is on-site in Bethesda, Maryland.

• Design, analyze and evaluate scientific portfolios on a quantitative or qualitative basis that can be used to evaluate the effectiveness of programs in meeting established goals and objectives.
• Review, monitor, and analyze narrative and statistical reports and program data to identify programmatically significant findings.
• Interpret findings resulting from studies that are independently developed.
• Contribute to development of portfolio analysis tools including the design, testing and implementation of new tools and the improvement of existing tools.
• Communicate research results through multiple venues such as internal presentations, newsletter articles, conference presentations, scientific publications, or project reports.
• Remain knowledgeable of NIAID, NIH and bibliometric data, data infrastructure, and data management requirements.
• Maintain knowledge of Public Health concepts, epidemiology and Biostatistics and computational biology and informatics.
• Foster and conduct investigations of new approaches and methods to enhance existing portfolio analysis techniques.
• Inform OSPIDA/DARB senior analysts of important changes in portfolio analysis methods, techniques, and theory.
• Collaborate and consult with OSPIDA/DARB staff in support of portfolio analysis activities.
• Interact with NIAID program staff, other NIH IC staff and broad biomedical, knowledge management, and business intelligence communities to collaborate, and exchange knowledge and strategies to achieve the Office's goals of improved scientific portfolio analysis.
• Seek outside opinions, when appropriate, and give fair and objective evaluation of ideas to produce the highest quality work products and services.
• Organize and lead meetings about portfolio analysis activities as appropriate.
• Develop and update project plans that accurately reflect milestones, and resources for assigned or self-initiated projects.
• Assist in other analysis tasks as related to scientific coding, categorization, or similar, as requested.

• Advanced degree (M.S. or Ph.D.) in a biological, biomedical, or computational science field.
• Minimum of four (4) years’ experience in research, science management, data science, bioinformatics, or other biocomputational fields.
• Experience in R, Python or other data science tools.
• Excellent critical thinking and analytical skills, including exceptional attention to detail.
• Experience with statistical methods.
• Excellent oral and written communication skills.
• Strong interpersonal skills and an ability to work with staff at all levels.
• Experience in conducting portfolio analyses.
• Familiarity with research programs/databases related to NIAID, other NIH Institutes, other Government organizations or private and non-profit institutions.
• The education, skills and relevant years of experience required for each support position are consistent with those identified as the minimum requirements for the labor categories specified in the contract.

Medical Science & Computing (MSC), a Dovel company, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.