Computational Epidemiologist

Employer
The MITRE Corporation
Location
Mc Lean, Virginia, US
Salary
Competitive
Posted
Apr 28, 2021
Closes
May 07, 2021
Ref
1831303124
Discipline
Modeling
Employment Type
Full time
Salary Type
Salary
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us.
Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That is because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The research and development centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We are making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us.Through the Health federally- funded research and development center (FFRDC), MITRE exclusively serves in the public interest and helps to bring world-class expertise to bear on key challenges facing the nation. MITRE operates the Health FFRDC on behalf of US Department of Health and Human Services (HHS). MITRE serves as an objective, independent, not for profit advisor supporting many of the complex analysis and critical thinking requirements that encompass business, policy, technology, and operational interests across HHS.
The Health FFRDC is growing rapidly, particularly through increasing engagements with federal public health agencies around how to leverage clinical data to support public health activities. These efforts are exceptional opportunities to have a substantial impact on public health matters of national and international importance. MITRE is seeking additional staff skilled in clinical informatics to work on Health FFRDC engagements that will have a marked and long-lasting impact on the health of the American people and interests.
The MITRE corporation is seeking to expand its expertise in computational epidemiology, with a focus on MITRE's sponsors in the federal government (e.g., CDC, NIH, VA, ASPR). In this role, the candidate will be a key part of a MITRE teams conducting comprehensive planning and exploration across a variety of appropriate FFRDC sponsors to help drive scientific advancement that serves the public interest. The successful candidate will be a thought leader, empowered to shape and pursue a comprehensive vision of this area for MITRE and federal sponsors, with considerable autonomy and accountability. It is understood that as a non-profit, non-partisan entity working in the public good, MITRE uses data to make informed decisions and planning regardless of preconceived notions and informed by scientific causal rigor.
Computational epidemiology is a multidisciplinary field that applies novel computational methods for understanding and controlling the spread of human disease. It incorporates approaches and techniques from epidemiology, applied mathematics, computer science, artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and high-performance computing (HPC). It occupies the space between the computer scientists/mathematicians designing and building simulation software and epidemiologists who understand the public health domain deeply. It helps to inform decision-makers who want answers to pressing public policy questions now and in the future to move towards data informed policies and decisions.
In particular, individuals with experience in studying or engaging in the following areas of work and research are encouraged to apply:
- Development and refinement of synthetic populations to computationally model real-world conditions and possible scenarios.
- Development and refinement of social contact networks and social network sensors.
- Development and refinement of advanced models of infectious disease progression, including geographical components.
- Development and refinement of advanced models for interventions, including public policies
- Mining of individual behavioral adaptation behavior datasets (e.g., Noom).
- Leveraging real-time health surveillance data (including sampling) and social media for disease modeling, prevention, or reduction.
- Prepare and provide presentation of results to a variety of scientific, public health, and healthcare audiences.
- Any of the above especially focused on vulnerable populations.
Specific duties may include the following:
- Identify and help secure access to appropriate data sets - both public and private
- Lead the development of advanced algorithms and analytic models to predict the effects of major events (e.g., climate change, infectious disease, emerging pathogens) on human health, on one or more of the dimensions listed above, building on existing models and approaches.
- Identify and pursue appropriate collaboration opportunities with external entities in academia or non-profit spaces outside of MITRE, as well as internal MITRE entities.
- Innovate on the use of data and visualizations.
- Establish a clear consensus with leadership and executives within MITRE regarding the utility of proposed analytic approaches.
- Presenting and/or publishing externally.
Qualifications might include some or all of the following:
- A graduate degree in an appropriate field, which may include epidemiology, data science, medicine, biology, computer science, mathematics, statistics, or equivalent. The successful candidate's credentials are likely to include several of these educational or professional areas.
- Work and/or research experience with one or more forms of algorithmic development, machine learning, or AI applicable to this space.
- Demonstrated experience in establishing successful collaborations across public and private entities.
- Expertise in the use of cloud computing.
- Relevant recent (i.e., preferably in the last 5 years) publications in peer-reviewed journals.
- Experience working at, or with, NIH, CDC, WHO or well-respected academic or private industry organizations.
- Experience working with publicly available socio-demographic data, including US Census data, local government, and publicly available geographic data.
This requisition requires the following clearance(s):
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At MITRE, we solve problems for a safer world. Through our federally funded R&D centers and public-private partnerships, we work across government to tackle challenges to the safety, stability, and well-being of our nation. As a not-for-profit organization, MITRE works in the public interest across federal, state and local governments, as well as industry and academia. We bring innovative ideas into existence in areas as varied as artificial intelligence, intuitive data science, quantum information science, health informatics, space security, policy and economic expertise, trustworthy autonomy, cyber threat sharing, and cyber resilience.

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