Today
Public Trust
Unspecified
Unspecified
Arlington, VA (On-Site/Office)
Strategic Analysis, Inc. (SA) Is actively seeking a Systems Biology Technical SETA to support the Advanced Research Projects Agency for Health (ARPA-H).
This candidate will help build transition milestones and transition programs, as well as communicate key considerations in the marketplace as they relate to program development. This candidate will also advise leadership on overall strategy as it applies broadly to programs. Serve as a product subject matter expert and drive the implementation of best practices to understand customer needs, determine product strategies, produce product roadmaps, and drive product execution including identification of personas, requirements, epics, user stories, and tasks
Role/Responsibilities:
1. Contribute to all aspects of the program lifecycle, including design, soliciting solutions, and evaluating proposed solultions, attending stakeholder engagements, before and after solicitations and assist with performance assessments.
2. Interact with experts from industry, academia, clinical sites, and the government to help shape the new projects/programs.
3. Use indepth technical knowledge and understanding to critically contribute to successful launch and execution of bold, transformative programs.
Qualification Requirements:
1. Systems Biology and Computational Modeling:
o Extensive experience modeling complex biological systems, encompassing multi-scale processes from molecular to physiological levels.
o Demonstrated expertise in developing and validating multiscale biological models, particularly for human physiology and disease processes.
o Proven ability to integrate multi-omics datasets (genomics, proteomics, metabolomics) into actionable biological simulations.
o Proficiency in modeling techniques such as ordinary differential equations, agent-based modeling, and network analysis tailored to biological systems.
2. Medical and Clinical Expertise:
o Strong foundation in human anatomy, physiology, and pathology, with emphasis on conditions requiring personalized, proactive, and continuous management.
o Practical experience working with diverse clinical datasets, including EHRs, medical imaging, and real-time health monitoring data streams.
o Familiarity with current trends in digital twin technologies for healthcare, especially in personalized medicine and clinical decision support.
3. Innovation in Digital Health and AI Integration:
o Insight into healthcare challenges, patient care workflows, and regulatory and ethical considerations in digital health.
o Expertise in leveraging AI for applications such as remote monitoring, disease trajectory forecasting, and adaptive treatment strategies using personalized digital twins.
o Comprehensive knowledge of the challenges and emerging opportunities in implementing digital twin technologies for healthcare.
4. Collaborative and Interdisciplinary Skills:
o Track record of successful collaboration with clinicians, biologists, data scientists, and engineers to achieve interdisciplinary program goals.
o Ability to bridge the gap between biological systems and computational modeling to ensure accurate and clinically meaningful digital twin representations.
5. Regulatory and Ethical Considerations:
o Knowledge of regulatory frameworks for healthcare technology development and clinical trials.
o Awareness of data privacy, security, and ethical concerns in using personal health data within digital twin applications.
Prior Experience Required:
1. Excellent organizational and communication skills, strong attention to detail, and the ability to handle a wide variety of tasks, including briefing support and general administration.
2. Strong technical writing skills with an ability to prepare effective documentation.
3. Highly organized, self-motivated, detail-oriented, and adept at multitasking in a high-pressure environment. Demonstrated ability to respond quickly and manage changing priorities effectively.
Additional Preferred Experience:
1. Experience supporting human subjects research and animal research, including regulatory management and oversight.
2. Experience in mixed-methods quantitative and qualitative data collection, analysis, interpretation, and dissemination.
3. Experience developing Standard Operating Procedures (SOPs) for research programs.
4. Government experience with extramural R&D funding.
5. Prior experience in supporting leadership
Education: Advanced degree (Ph.D. preferred) in systems biology, computational biology, or a related field with a focus on medical applications.
Clearance: Ability to obtain HHS Public Trust
SA is an equal opportunity/Affirmative Action Plan employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship makes hiring decisions based solely on qualifications, merit, and business needs at the time.
This candidate will help build transition milestones and transition programs, as well as communicate key considerations in the marketplace as they relate to program development. This candidate will also advise leadership on overall strategy as it applies broadly to programs. Serve as a product subject matter expert and drive the implementation of best practices to understand customer needs, determine product strategies, produce product roadmaps, and drive product execution including identification of personas, requirements, epics, user stories, and tasks
Role/Responsibilities:
1. Contribute to all aspects of the program lifecycle, including design, soliciting solutions, and evaluating proposed solultions, attending stakeholder engagements, before and after solicitations and assist with performance assessments.
2. Interact with experts from industry, academia, clinical sites, and the government to help shape the new projects/programs.
3. Use indepth technical knowledge and understanding to critically contribute to successful launch and execution of bold, transformative programs.
Qualification Requirements:
1. Systems Biology and Computational Modeling:
o Extensive experience modeling complex biological systems, encompassing multi-scale processes from molecular to physiological levels.
o Demonstrated expertise in developing and validating multiscale biological models, particularly for human physiology and disease processes.
o Proven ability to integrate multi-omics datasets (genomics, proteomics, metabolomics) into actionable biological simulations.
o Proficiency in modeling techniques such as ordinary differential equations, agent-based modeling, and network analysis tailored to biological systems.
2. Medical and Clinical Expertise:
o Strong foundation in human anatomy, physiology, and pathology, with emphasis on conditions requiring personalized, proactive, and continuous management.
o Practical experience working with diverse clinical datasets, including EHRs, medical imaging, and real-time health monitoring data streams.
o Familiarity with current trends in digital twin technologies for healthcare, especially in personalized medicine and clinical decision support.
3. Innovation in Digital Health and AI Integration:
o Insight into healthcare challenges, patient care workflows, and regulatory and ethical considerations in digital health.
o Expertise in leveraging AI for applications such as remote monitoring, disease trajectory forecasting, and adaptive treatment strategies using personalized digital twins.
o Comprehensive knowledge of the challenges and emerging opportunities in implementing digital twin technologies for healthcare.
4. Collaborative and Interdisciplinary Skills:
o Track record of successful collaboration with clinicians, biologists, data scientists, and engineers to achieve interdisciplinary program goals.
o Ability to bridge the gap between biological systems and computational modeling to ensure accurate and clinically meaningful digital twin representations.
5. Regulatory and Ethical Considerations:
o Knowledge of regulatory frameworks for healthcare technology development and clinical trials.
o Awareness of data privacy, security, and ethical concerns in using personal health data within digital twin applications.
Prior Experience Required:
1. Excellent organizational and communication skills, strong attention to detail, and the ability to handle a wide variety of tasks, including briefing support and general administration.
2. Strong technical writing skills with an ability to prepare effective documentation.
3. Highly organized, self-motivated, detail-oriented, and adept at multitasking in a high-pressure environment. Demonstrated ability to respond quickly and manage changing priorities effectively.
Additional Preferred Experience:
1. Experience supporting human subjects research and animal research, including regulatory management and oversight.
2. Experience in mixed-methods quantitative and qualitative data collection, analysis, interpretation, and dissemination.
3. Experience developing Standard Operating Procedures (SOPs) for research programs.
4. Government experience with extramural R&D funding.
5. Prior experience in supporting leadership
Education: Advanced degree (Ph.D. preferred) in systems biology, computational biology, or a related field with a focus on medical applications.
Clearance: Ability to obtain HHS Public Trust
SA is an equal opportunity/Affirmative Action Plan employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship makes hiring decisions based solely on qualifications, merit, and business needs at the time.
group id: 10114253
