ARPA-H Precision Medicine, Genomics, & Mental Health Advisor
ECS Corporate Services

ECS is seeking an ARPA-H Precision Medicine, Genomics, & Mental Health Advisor to work remote. Please Note: This position is contingent upon contract award.

Job Description:

Are you a passionate, innovative biomedical engineer who specializes in precision medicine or genomics and is ready to tackle big challenges in cancer treatments?

ECS is seeking talented and driven professionals to support the ADAPT (ADvanced Analysis for Precision cancer Therapy) program, a groundbreaking initiative by the Advanced Research Projects Agency for Health (ARPA-H) and led by the Resilient Systems Office (RSO).

About the ADAPT Program. ADAPT aims to bring together researchers in systems biology, bioinformatics, mathematical modeling, and oncology to address the challenge of treating ever-changing metastatic cancer. It will do this by developing solutions across three technical areas summarized as therapy recommendation techniques, new evolutionary clinical trials, and creation of a cancer treatment and analysis platform.

What you will do. In this role, you will serve as a "systems engineering and technical assistance" advisor to the RSO Program Manager (PM) by providing support and thought leadership to the PM, the performer teams, and stakeholders across the health innovation ecosystem in the research and development of revolutionary approaches that will adapt cancer treatments as tumors mutate and change. More broadly, you will enable the agency to manage and provide oversight to advanced R&D efforts; help shape future R&D concepts, programs, and solutions; integrate and advance our nation's healthcare ecosystem processes, policies, and enabling technologies; and enable the agency to expand its healthcare and scientific scope into yet unknown areas. This includes:

• Serve as a scientific and technical advisor for cutting-edge research projects that will harness advanced technologies and a deep understanding of tumor biology to build cancer biomarkers.
• Facilitate the identification, development and testing of solutions in three technical areas: therapy recommendation techniques, including multi-modal data fusion, resistant trait modeling, and development of biomarkers to predict drug response; new evolutionary clinical trials that treats patients during multiple therapy lines by discovering emergent resistant traits and therapy biomarkers developed by ADAPT; and the creation of a cancer treatment and analysis platform to enable real-time data availability.
• Contribute your thought leadership and expertise in gene expression, drug resistant tumors, other rare disease research, or mental health treatment, strategy development, and health policy research to the design and delivery of solutions that align to ADAPT technical areas.
• Provide technical support via your expertise in precision medicine or genomics and collaborate closely with the R&D team, their staff, and their engineers to solve problems and develop solutions.
• Support program managers in the development, technology transition, and commercialization of these new research methods, concepts, technologies, platforms, and processes.
• Provide strategic assessments of methods and technologies related to the development of therapies, biomarkers, and platforms.
• Collaborate and support a team of performers across a range of expertise, such as researchers in systems biology, bioinformatics, mathematical modeling, and oncology to address the challenge of treating ever-changing metastatic cancer.

Join us and be a part of history!

Salary Range: $145,000 - $180,000

General Description of Benefits

Required Skills:

• Possess at least 10 years of total work experience (can be a combination of research, commercial, government, and consulting).
• Experience in precision medicine or genomics.
• Background in gene expression, drug resistant tumors/other rare disease research or mental health treatment or strategy development and health policy research is highly preferred.
• Demonstrated ability to conduct independent research, analyze data, write scientific reports, and evaluate new start proposals.
• Passionate about innovation and driven to make a real impact on human health.
• U.S. citizenship or lawful permanent residency is required.
• PhD in Biophysics, Psychology, Oncological Sciences or related scientific field.

Desired Skills:

• One year or more experience working for a Federal ARPA organization.
• One year or more experience in Federal Healthcare and/or Scientific Consulting.
• Proficiency analyzing and interpreting genomic data, including experience with NGS technologies, bioinformatics tools, and software.
• Experience integrating genomic information into clinical practice or research to inform personalized treatment plans and medical decision-making.
• Deep understanding of genetic variants and their implications for disease risk and therapy.
• Strong background in genomics research, with experience designing and conducting studies, publishing in journals, and contributing to field advancements.
• Strong communication and teamwork skills, with the ability to collaborate effectively with scientists, engineers, and other professionals from diverse backgrounds.

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.

General Description of Benefits

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