<p>Position: Mathematician</p> <p>Location: Wright Patterson AFB, Ohio</p> <p>Work Environment: Onsite / Remote</p> <p>Clearance Required: Public Trust</p> <p>Status: Contingent</p> <p>Knowesis is currently seeking an exceptional Mathematician to join our team and provide invaluable support to USAFSAM Department of Aerospace Medicine (USAFSAM/FE), Aerospace Medicine Studies and Analysis Division (FES).</p> <p>To be eligible for this position, candidates must have the ability to obtain a Public Trust clearance and possess U.S. Citizenship without the need for sponsorship, both now and in the future. Applicants without proof of U.S. Citizenship will not be considered due to the position's security clearance requirements.</p> <p>The Job Duties and Responsibilities include but are not limited to the following:</p> <ul> <li>Assist in designing, formulating, conducting, and leading data analysis of health surveillance data/health records, military personnel records, military operational records, and other relevant military records at the individual, unit, and total force populations to provide human performance and operational surveillance support. Use judgement and originality in developing innovative approaches to define and resolve highly complex situations. </li><li>Assist in designing, formulating, conducting, and leading data analysis of health surveillance data/health records, operational records, and other relevant military records at the individual, unit, and total force populations to provide program evaluation for a wide variety of programs related to human performance, readiness, operational performance, administrative performance or other performance as requested. </li><li>Assist in the management of the retrieval and integration of health information data, personnel records, deployment-related records, health surveillance registries, and other military-related data into useable formats for end-users. </li><li>Draft reports, prepare, and/or present reports, documents, and/or presentations pertaining to the status of the research and data analysis as requested, and meet FES projected suspense dates. </li><li>Present results of studies or investigations through briefings, technical reports, and publication into scientific journals. </li><li>Apply knowledge of science/technology to analyze and resolve multifaceted issues/problems with minimal guidance and collaborate with technical area stakeholders to develop strategies for effective execution within a particular technology area. </li><li>Perform statistical analysis of existing data sets and creation of datasets for statistical analysis in SAS, SAS Enterprise Guide. </li><li>Assist in the development of credible, theoretically driven statistical models exploring the relationship between variables identified in data sets and outcomes of interest to the Air Force. </li><li>Perform, under guidance, validation and verification protocols, to ensure that the products of study are performing as expected, and assist in performing corrections, in the event of models failing to perform to standard. </li><li>Assist in the drafting of written communication for internal and external purposes. </li><li>Participate as an expert in health statistics in interdisciplinary planning and analysis. </li><li>Demonstrate or acquire familiarity with Air Force medical, personnel, and operational records systems and standards. </li><li>Provide conference support assistance by active participation in professional conferences, preparation of posters and presentations, and publication of peer-reviewed manuscripts, in order to support distribution of study </li><li>Brief study findings at appropriate meetings or forums, as determined by the Government. </li><li>Interface with USAFSAM/FES leadership and staff. </li></ul> <p>Required Qualifications:</p> <ul> <li>an MS in Applied Mathematics, Statistics, Data Science, Operations Research, or other similar degree </li><li>A minimum of 3 years of experience utilizing mathematics in a professional environment. </li><li>Proficient in at least two programming/mathematical languages: Maple, MATLAB, R, Visual Basic, Python, or other similar language </li><li>Proficiency with logical and set operations. </li><li>Possess advanced analytical skills in mathematical and statistical modeling and longitudinal analysis. </li><li>Proficiency with statistical modelling processes, including verification and validation of statistical models and heuristics. </li><li>Possess the capacity to learn new analytical technology tools such as Tableau, Python, SAS Enterprise Guide, SAS Viya, or Qualtrics. </li><li>Have the ability to thrive in a team environment yet be able to complete assigned tasks independently. </li><li>Possess organizational skills, ability to achieve set goals, initiative in performing assigned tasks, ability to execute complex projects, and ability to interact professionally with all levels of personnel within and outside of the organization. </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Advanced analytical skills in the development of mathematical models such as stochastic and deterministic simulations. </li><li>Experience programming in SAS, SAS Enterprise Guide. </li><li>Experience in spreadsheet modeling and decision analysis using regression techniques, survival analysis, decision trees, Monte Carlo simulations, sensitivity analysis, tornado charts, strategy tables, conditional probabilities, and other statistical/analytical models. </li><li>Experience in data science, military processes and organizations, and modelling in the operational and healthcare domain are all desired. </li><li>5+ years of recent experience in data science, especially in healthcare. </li><li>1+ years of experience using mathematics and decision analysis in a military setting. </li></ul> <p>Benefits:</p> <ul> <li>Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products. </li></ul> <p>Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.</p>