Computer Engineer/Scientist– WPAFB, Ohio

Fidelity Partners•Bath Township, OH

2d•Onsite

About The Position

The Computer Engineer/Scientist will assist in providing operational medicine and human performance surveillance support on a variety of operational, readiness, human performance, and health outcomes, as well as program evaluation and effectiveness analysis for programs within the operational or human performance domains. Responsibilities shall include providing direct support to the FES Division Chief. Review code developed by the operational analysts supporting USAFSAM data analysis and decision support projects. Responsible for supporting technical planning meetings within the organization and across AFRL. Shall work with database managers, operational research analysts, and subject matter experts to design, code, test, and operationalize aeromedical and operational medical decision support projects. Responsible for developing work plans and assisting with program management of the software development efforts. Employ the skillset to lead development, improvement, and maintenance of data and models. Ensure discovered problems are clearly defined and communicated; and the necessary corrective actions are employed and/or risk is mitigated to support project(s) execution. Design and maintain secure data pipelines across our accredited platforms, transitioning between systems as the study phases progress. Immediate Focus (DAF Palantir Envision): Development will utilize SQL within Pipeline Builder and Python within Envision's Code Workspace to structure, clean, and analyze our baseline personnel cohorts that have already been created. DHA Phase Integration (using our existing AVHE access): Once the protocol reaches the DHA data integration phase, the contractor employee will transition to utilizing SAS Enterprise Guide (EG) within the Augmented Virtual Healthcare Environment (AVHE). Serve collaboratively regarding model development, elevating our analytical capabilities. Assist with the technical implementation of our AI evaluation framework.

Requirements

Possess a Master's degree in Engineering, Computer Science, or equivalent.
Possess software development skills, experience with DoD verification and validation methodologies, and experience with agile development methodologies and the tools commonly used to support agile development practices utilizing Envision.
A minimum of 5 years of relevant experience.
Experience with development in multiple coding environments such as: Windows, SASS Eg, SQL, Linux, Python, C++, Matlab, UML and SysML, and MBSE tools such as Cameo Systems Modeler.
Experience involving systems thinking and a systems approach to problem definition and solution.
Experience with writing technical documentation, based upon customer specifications for software development. This includes Software Architecture Documents, System Design Documents, use cases, system topologies, test plans, verification and validation documentation, deployment plans, and user documentation material.

Nice To Haves

Experience with both C++ and Python is highly desired.
Experience with model-based systems engineering tools is highly desired.
Experience with high-performance computing environments is highly desired.

Responsibilities

Providing direct support to the FES Division Chief.
Review code developed by the operational analysts supporting USAFSAM data analysis and decision support projects.
Supporting technical planning meetings within the organization and across AFRL.
Working with database managers, operational research analysts, and subject matter experts to design, code, test, and operationalize aeromedical and operational medical decision support projects.
Developing work plans and assisting with program management of the software development efforts.
Leading development, improvement, and maintenance of data and models.
Ensuring discovered problems are clearly defined and communicated; and the necessary corrective actions are employed and/or risk is mitigated to support project(s) execution.
Designing and maintaining secure data pipelines across our accredited platforms, transitioning between systems as the study phases progress.
Utilizing SQL within Pipeline Builder and Python within Envision's Code Workspace to structure, clean, and analyze baseline personnel cohorts.
Transitioning to utilizing SAS Enterprise Guide (EG) within the Augmented Virtual Healthcare Environment (AVHE) once the protocol reaches the DHA data integration phase.
Collaborating regarding model development, elevating analytical capabilities.
Assisting with the technical implementation of the AI evaluation framework.