Postdoctoral Fellow - Mathematical Oncology
- City of Hope
- Location: Duarte, CA
- Job Number: 7212524 (Ref #: 10024512)
- Posting Date: 3 months ago
- Salary / Pay Rate: $34.00 - $37.55 / hour
- Application Deadline: Open Until Filled
Job Description
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
City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity, and inclusion, pleaseclick here.
Salary / Pay Rate Information:
Pay Rate: $34.00 - $37.55 / hour
The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time.
City of Hope is a community of people characterized by our diversity of thought, background and approach, but tied together by our commitment to care for and cure those with cancer and other life-threatening diseases. The innovation that our diversity produces in the areas of research, treatment, philanthropy and education has made us national leaders in this fight. Our unique and diverse workforce provides us the ability to understand our patients' needs, deliver compassionate care and continue the quest for a cure for life-threatening diseases. At City of Hope, diversity and inclusion is a core value at the heart of our mission. We strive to create an inclusive workplace environment that engages all of our employees and provides them with opportunities to develop and grow, both personally and professionally. Each day brings an opportunity to strengthen our work, leverage our different perspectives and improve our patients’ experiences by learning from others. Diversity and inclusion is about much more than policies and campaigns. It is an integral part of who we are as an institution, how we operate and how we see our future.
