Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Schiffer Group at Fred Hutch is seeking a Post-Doctoral Research Fellow to work on within host mathematical and evolutionary modeling to understand HIV persistence and cure.

This a hybrid role and candidates need to be on-site three days a week.

Responsibilities

The successful applicant will develop mathematical models that focus on optimizing treatments for various viruses including but not limited to SARS-CoV-2, HSV-2 and HIV-1. Post docs will be encouraged and given opportunities to collaborate with laboratory-based scientists (including biology and immunology), both in the Vaccine and Infectious Diseases Division (VIDD) at Fred Hutch, and externally.

Qualifications

MINIMUM QUALIFICATIONS:

• PhD degree from a quantitative field such as physics, applied mathematics, engineering, population genetics, ecology, computational biology etc.
• Strong numerical programming skills in Python, Matlab and/or R.

PREFERRED QUALIFICATIONS:

• Differential equation-based models and/or agent-based modeling.

The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications.