ERP International is seeking a full-time Statistician/Epidemiologist to support the USAF School of Aerospace Medicine, Aerospace Medicine (USAFSAM), Studies and Analysis Support Branch (FESS) at Wright-Patterson AFB, OH. Apply online today and discover more about this outstanding employment opportunity. www.erpinternational.com
Connect With Us! Apply online today and discover more about this exceptional employment opportunity.
Why ERP International?
At ERP International, our mission is simple:
Be the best by delivering our best to our customers, our employees, and our community. We are committed to innovation, employee development, operational excellence, and building a workplace where talented professionals can grow, contribute, and make a meaningful impact.
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ERP is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment on the basis of race, color, sex, religion, national origin, veteran status, disability status, age, or any other characteristic protected by federal, state, or local law.
ERP International is committed to providing veteran employment opportunities to our service men and women.
* Excellent Compensation & Exceptional Comprehensive Benefits!* Paid Time Off, Paid Federal Holidays!
* Medical/Dental/Vision and Health Savings Account available!
* Company Paid STD, LTD and Life Insurance!
* Annual CME Stipend and License/Certification Reimbursement!
* Matching 401K!
Work Schedule:Monday - Friday, 7:30am - 4:30pm
Job Specific Tasks/Responsibilities:
The contractor employee responsibilities shall include providing statistical support for the FESS Operational Consultation and Analytics Service to assist with overall consultation, research and studies and analysis requirements, to include technical consultation support, data analytics and data management requirements support, and interfacing with personnel and subject matter experts from the 711th Human Performance Wing, as well as DoD professionals from multiple organizations as required, to provide research and data analytic support.
The contractor employee shall apply statistical modeling and advanced analytical techniques to the data, in order to investigate AFMS-identified gaps as requested.
The contractor employee shall assist researchers and outside collaborators with data-related issues and statistical questions.
The contractor employee shall import, clean, merge, manage, transform, validate, and/or analyze large multivariate datasets.
The contractor employee shall test data to identify data integrity issues, making recommendations and coordinating with the team and team lead to plan solutions; troubleshoot problems concerning database records and analysis, and communicate with team lead/team members; evaluate/recommend improvements for existing data management and recommend requirements for new systems.
The contractor employee shall design and document data management processes and develop data dictionaries as necessary; establish the relationship of available data to existing datasets, map data and coding for specific data elements, maintain statistical software codes; provide training on products created as needed; perform data archive procedures within established guidelines as provided by the team lead.
The contractor employee shall provide consultation support for 711 HPW and DoD researchers, providing study design assistance, analysis advice, and document review.
The contractor employee shall utilize descriptive statistics to summarize data.
The contractor employee shall summarize and report data analyses in a clear, concise manner; present results to stakeholders and/or at scientific conferences; create written communication for internal and external purposes; write-up results in technical reports or publication-quality manuscripts.
The contractor employee shall participate in data-driven projects; provide assistance with FHS Data Analytics team requirements such as producing timely and accurate data, analysis and reports in response to ad hoc/special requests.
The contractor employee shall ensure all documents and datasets are appropriately vetted prior to release outside the organization.
The contractor employee shall work with FESS PM responsible for tracking documents and analytics team: to ensure IRB compliance with human subjects research regulations are met; to draft IRB protocols and other documentation as needed; to write Data Use Agreements and/or Memoranda of Agreement with data sources.
The contractor employee shall maintain data security in strict compliance with the Privacy Act of 1974, the Health Insurance Portability and Accountability Act, and related federal regulations.
The contractor employee shall work with Information Technology (IT) support personnel to ensure compliance with USAF and DoD IT requirements.
The contractor employee shall utilize with proficiency statistical/database software packages such as SAS, SPSS, Access, and SQL Server as well as standard software packages such as Microsoft Office, Powerpoint, Excel, Word and Adobe Acrobat in performance of duties.
The contractor employee shall maintain professional relationships with government lead(s), team members, investigators, and collaborators.
The contractor employee shall assist in the statistical/experimental design technical review of proposals submitted to USAFSAM/FESS, as required.
The contractor employee shall attend/support meetings, as required in performance of duties, with government and civilian organizations, academia, and subject matter experts.
Minimum Qualifications:
Master’s degree in Statistics, Biostatistics or related field. Advanced analytical and statistical skills, and have 2-5 years’ experience combining, cleaning, and analyzing large multivariate datasets.
Must have, or be able to obtain, a NACLC or T3 clearance, with an IT designation level II. Possess excellent technical writing and presentation skills, as well as experience providing statistical consultation and/or instruction.
Ability to thrive in a team environment, yet be able to complete assigned tasks independently or with minimal guidance from the government lead(s). Professional, detail oriented, possess excellent communication skills, and speak English fluently.
Desired Qualifications:
PhD or equivalent is desired.
Experience working with medical and occupational data are desired.
ERP International is a proven health and technology solutions integrator and partner for federal civilian and defense agencies. From military healthcare staffing, emerging technologies to medical logistics and business process management, we support and enhance mission performance, delivering high value, outcomes. ERP pursues innovative alternative solutions through attentive and engaged leadership practices, collaboration, and brilliant talent to drive transformational results for our customers.
ERP has been named a Washington Post 2024 Top Workplace by our employees for the 5th consecutive year, is an ELEV8 GovCon Honoree for 2024 and 2025.
Our Health Solutions practice provides our DOD and DHA customers with world-class capabilities in clinical staffing and medical research and readiness around the globe. We have decades of experience driving client success by providing the highest quality people and services, where and when they’re needed, at the most competitive rates.
ERP’s Digital Solutions practice provides our customers at CMS, DHA, DISA, DHS, FDA, FEMA and USCIS with world-class capabilities in emerging technologies, large scale modernization of legacy software, data visualization, Enterprise Architecture, IT health and cyber security. ERP’s value-based solutions deliver new efficiency and cost savings and do it on time and on budget.
Be the Best® is our motto. Our leadership-driven execution blends emerging technologies and passionate subject matter experts with mature processes to transform the way federal agencies. We appraise at CMMI DEV Maturity Level 5 and CMMI SVC Maturity Level 3 and are certified with the ISO 9001:2015 Quality Management Standard, ISO/IEC 20000-1:2011 Service Management System, and ISO 27001:2013 Information Security Management Standard.
