Description
Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
SPA provides critical decision support to enabling and executing a strategy of technological superiority and enabling the delivery and sustainment of secure, resilient, and preeminent capabilities to the warfighter quickly and cost effectively. Our team of experienced military, technical, and operations research analysts is skilled in evaluating military problems, identifying the driving factors, devising innovative approaches, collecting applicable data, developing necessary software tools, and performing thorough and timely assessments to inform technology and acquisition governance decisions to ensure U.S. military forces retain military superiority in the future.
We have an immediate need for a Technical SETA - Computational Systems Biology to provide onsite support out of Arlington, VA.
Responsibilities
The candidate will apply a strong technical background and a proactive attitude in support of the Defense Advanced Research Projects Agency (DARPA), and will be motivated to learn or already understand DARPA processes, procedures, and culture. Provide critical subject matter expertise and programmatic support to DARPA BTO Program Managers. Translate advanced principles in computational biophysics, systems biology, high-performance computing, and machine learning into technical oversight, proposal evaluation, and performer management for programs developing revolutionary in-silico platforms to map, predict, and manipulate complex biological systems and protein-protein interactomes (PPIs).
Qualifications
Required:
- Master's degree in an Engineering or Science discipline
- 8+ years of experience in key technical methodologies, including dimensionality-reduction techniques applied to complex protein-protein interaction and energy landscapes, generation of biophysical "fingerprints" and descriptors for protein-protein and protein-ligand interactions, experimentation and application protein-protein interaction, protein structure, and proteomics or advanced AI/ML strategies to scale predictive molecular catalogs from thousands to millions of simulated interactions
- Experience in the rigorous technical evaluation of multi-phase proposals, including technical abstracts, oral presentations, and full technical proposals
- Experience synthesizing complex technical progress and translational milestones to draft content for Broad Agency Announcements (BAAs), new program concepts, and executive-level briefings
Active TS/SCI clearance
- Able to report to Arlington, VA up to full-time based upon client needs
Desired:
- PhD
- 5+ years of experience providing technical and/or cost analysis
- 3+ years of experience in a Research and Development organization/role
Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $150,000.00/Yr. - USD $180,000.00/Yr.
Qualifications
Required:
- Master's degree in an Engineering or Science discipline
- 8+ years of experience in key technical methodologies, including dimensionality-reduction techniques applied to complex protein-protein interaction and energy landscapes, generation of biophysical "fingerprints" and descriptors for protein-protein and protein-ligand interactions, experimentation and application protein-protein interaction, protein structure, and proteomics or advanced AI/ML strategies to scale predictive molecular catalogs from thousands to millions of simulated interactions
- Experience in the rigorous technical evaluation of multi-phase proposals, including technical abstracts, oral presentations, and full technical proposals
- Experience synthesizing complex technical progress and translational milestones to draft content for Broad Agency Announcements (BAAs), new program concepts, and executive-level briefings
Active TS/SCI clearance
- Able to report to Arlington, VA up to full-time based upon client needs
Desired:
- PhD
- 5+ years of experience providing technical and/or cost analysis
- 3+ years of experience in a Research and Development organization/role
Responsibilities
The candidate will apply a strong technical background and a proactive attitude in support of the Defense Advanced Research Projects Agency (DARPA), and will be motivated to learn or already understand DARPA processes, procedures, and culture. Provide critical subject matter expertise and programmatic support to DARPA BTO Program Managers. Translate advanced principles in computational biophysics, systems biology, high-performance computing, and machine learning into technical oversight, proposal evaluation, and performer management for programs developing revolutionary in-silico platforms to map, predict, and manipulate complex biological systems and protein-protein interactomes (PPIs).
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