Computational Systems Biologist

Key Role:

Provide science and technology advisory support to our clients in health science research and development (R&D), including the Advanced Research Projects Agency for Health (ARPA-H). Support programs related to computational systems biology. Apply scientific and engineering subject matter expertise to help conceptualize, create, and execute advanced government-funded R&D programs to accelerate better health outcomes for everyone. Characterize the state of a technical field, including identifying state-of-the-art technologies and promising new approaches. Perform analyses to recommend ambitious technology performance and cost targets that are on the cutting-edge of what might be achievable. Identify key technical experts across academia, industry, and national labs, perform technical outreach, and facilitate the formation of new multi-disciplinary technical communities. Review highly technical proposals and support negotiations of selected projects, including advising on project plans and technical milestones for complex R&D projects. Perform direct and periodic technical oversight of the project portfolio, from set-up to close-out, and assist the client with managing projects to achieve clear and compelling outcomes.

Basic Qualifications:

• 3+ years of experience with post-doctorate research modeling complex biological systems and encompassing multi-scale processes from molecular to physiological levels

• Experience developing and validating multi-scale biological models, including for human physiology and disease processes

• Experience modeling techniques such as ordinary differential equations, agent-based modeling, and network analysis tailored to biological systems

• Experience working with diverse clinical datasets, including EHRs, medical imaging, and real-time health monitoring data streams

• Knowledge of human anatomy, physiology, and pathology with emphasis on conditions requiring personalized, proactive, and continuous management

• Knowledge of trends in digital twin technologies for healthcare, including in personalized medicine and clinical decision support

• Knowledge of healthcare challenges, patient care workflows, and regulatory and ethical considerations in digital health

• Ability to integrate multi-omics datasets such as genomics, proteomics, or metabolomics into actionable biological simulations

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Doctorate degree in a medical applications field, including Systems Biology or Computational Biology

Additional Qualifications:

• Experience leveraging AI for applications such as remote monitoring, disease trajectory forecasting, and adaptive treatment strategies using personalized digital twins

• Experience supporting human subjects research and animal research, including regulatory management and oversight

• Experience in mixed-methods quantitative and qualitative data collection, analysis, interpretation, and dissemination

• Experience in support of, or otherwise related to, an Advanced Research Projects Agency (ARPA) organization

• Experience searching across multiple databases, data repositories, web portals, search engines, and scientific journal platforms

• Knowledge of the challenges and emerging opportunities in implementing digital twin technologies for healthcare

• Knowledge of data privacy, security, and ethical concerns in using personal health data

• Ability to handle a wide variety of tasks, including briefing support and general administration

• Ability to use strong technical writing skills to prepare effective documentation

• Ability to be highly organized, self-motivated, detail-oriented, and adept at multitasking in a high-pressure environment

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.