Postdoctoral Fellow - Mathematical Oncology

Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

We have a Postdoctoral Fellowship position available in Dr. Russell Rockne's multidisciplinary research team at City of Hope Comprehensive Cancer. For more information on Dr. Rockne's research, please visit here .

The Division of Mathematical Oncology and Computational Systems Biology at the Department of Computational and Quantitative Medicine aims to apply mathematics, physics, and evolution-based research to clinical care in oncology. We are a dynamic, diverse group dedicated to advancing mathematical and computational methods, with a focus on translating our findings to positively impact patient care at City of Hope.

As a successful candidate, you will:

• Work independently and in interdisciplinary teams for translational research.
• Present findings at Division meetings and project-specific subgroups regularly.
• Showcase research at national and international conferences spanning mathematics, biology, and clinical society meetings.
• Adapt existing mathematical models or develop new ones for problem-solving.
• Program and write codes for data processing and solving nonlinear equations.
• Learn enough biology to engage with hematology experts.
• Mentor students.
• Communicate scientific findings and mathematical concepts to technical and lay audiences in written and verbal forms.

Your qualifications should include:

• Ph.D. in Applied Mathematics, Statistics, Physics, Computer Science, Engineering or related discipline
• Experience with genome sequencing data (ex. DNA, RNA, ATAC seq)
• Experience with stochastic dynamical systems and probability theory
• Experience or familiarity with hematopoiesis or hematologic malignancies preferred