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Data Scientist- Disease Modeling Prediction Subject Matter Expert (US Citizen)


  • Cherokee Federal
  • 08/25/21
  • Silver Spring, MD
  • 20910
  • Full-Time
Data Scientist- Disease Modeling Prediction Subject Matter Expert (SME), Silver Spring, MD, US

Join the team who values your skills and expertise. From intelligence and cybersecurity to vulnerability assessment and mission assurance, Cherokee Nation Strategic Programs (CNSP) brings experience and results. Building on a reputation as a dedicated, disciplined and tightly knit organization, CNSP supports DOD and other federal clients in their critical, strategic and operational programs. CNSP is looking for qualified talent to give our clients the support they deserve and the quality they expect from our team a team of experts, like you.

Cherokee Nation Strategic Programs is part of Cherokee Federal a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nations mission around the globe for more than 60 federal clients.

Summary:

Cherokee Nation Strategic Programs provides all personnel, equipment, supplies, facilities, transportation, tools, materials, and supervision in support of the Armed Forces Health Surveillance Division (AFHSD). The AFHSD is the central, integrated, customer-focused epidemiologic and global health surveillance resource for the U.S. Armed Forces.

The AFHSD requires a Subject Matter Expert (SME) in the field of disease modeling and prediction who can combine DoD health data with other available data sources (weather, traffic patterns, etc.) and develop statistical models to predict disease threats to the military. This includes forecasting the spread and the severity of a known disease like influenza and COVID-19, as well as predicting where and when a novel disease is likely to emerge.

Essential Duties & Responsibilities:

Act as the principal advisor to the IB sections technical lead, as well as the SME to the Chiefs, Integrated Biosurveillance (IB) Branch and AFHSD/Public Health Division (PHD), on matters dealing with disease modeling and prediction technologies and their potential for establishment of such capabilities in coordination with other USG interagency officials
Coordinate the development of predictive models for disease with partners in the USG interagency and academia to ensure that the DHA is responsive to the US militarys and Geographic Combatant Command (GCC) and Military Services Force Health Protection (FHP) needs
Serve as the AFHSDs expert for analyzing DoD and open source health surveillance data with the ultimate goal of predicting the onset of, and forecasting the further progression/ transmission of, military-relevant diseases of interest to the GCCs and the Military Services
Communicate the results of such disease modeling and prediction efforts to senior leaders and public health decision-makers, clearly explaining the degree of uncertainty surrounding the results
Disseminate the results of analytical studies by way of preparation of briefings, manuscripts, presentations, information summaries, issue papers, and technical documents, as well as their sharing via websites and other media outlets based on target audiences at the guidance of the IB sections technical lead
Work with Geographic Information System (GIS) experts and epidemiologists to communicate the results graphically, where appropriate, through an interactive GIS-facilitated portal, to include, but not be limited to, the Health Surveillance Explorer (HSE) or other disease assessment platforms available within the DoD or the USG interagency community at-large
Collaborate with leaders in this field throughout the USG interagency and academia to ensure that DoD is using the most up-to-date techniques
Develop advice on strategy in the field of disease modeling and prediction to interpret the landscape of available resources and programs and recommend future initiatives by the AFHSB
Supervisory/Management Authority:

This position will/will not have supervisory or management authority
Education and/or Experience:

Must have an Active Secret Clearance or the ability to obtain one
Must be a US Citizen
Must currently possess a minimum of a Masters Degree- PhD/DrPH or other doctoral degree in a related field, preferred
At least 3-5 years of experience and published research in the field of disease modeling and prediction
Knowledge, Skills and Abilities:

Knowledge of SAS, R, Python, and statistical technical skills such as machine learning and neural network techniques
Experience with visualization tools such as ggplot and Tableau
Must have a good breadth of knowledge of the scientific literature on this topic and have participated in collaborative efforts with academia, industry, or USG interagency
Ability to work under a federal contract supporting a DoD client, especially in the handling of sensitive but unclassified client information required
Excellent communication skills; both oral and written
The ability to successfully pass a drug screen and a federal background check is mandatory
Work Environment:

This position is performed in an office environment
About Cherokee - Federal
Cherokee Federal a division of Cherokee Nation Businesses is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nations mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios.

Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories.

Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Compliance

Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.

We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation. If youd like more information about your EEO rights as an applicant under the law, please copy and paste the links to the following two sites: EEO Statement | EEO Poster; https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/ofccp_eeo_supplement_final_jrf_qa_508c.pdf

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may e-mail CNB.Compliance@cn-bus.com for assistance. This email address is for accommodation requests only and cannot be used to inquire about the application process or status.

For Pay Transparency Non Discrimination provision, please copy and paste the following link: Pay Transparency Nondiscrimination Provision; https://www.dol.gov/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

We maintain an Affirmative Action Plan for proactively seeking employment and advancement for qualified protected veterans and individuals with disabilities. Upon request, we will schedule time to make our Affirmative Action Plan accessible. If you are interested, please submit a written request with the email subject line: 2021 Request to View Affirmative Action Plan to the Compliance Administrator at CNB.Compliance@cn-bus.com This email box is not for resumes or follow up on job applications.

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