Postdoc Fellow, Mathematical Oncology
- City of Hope
- Location: Duarte, CA
- Job Number: 7067401 (Ref #: 10006433rxv_109_1)
- Posting Date: Jul 2, 2020
- Application Deadline: Open Until Filled
Job DescriptionAbout City of Hope
City of Hope, an innovative biomedical research, treatment and educational institution with over 6000 employees, is dedicated to the prevention and cure of cancer and other life-threatening diseases and guided by a compassionate, patient-centered philosophy.
Founded in 1913 and headquartered in Duarte, California, City of Hope is a remarkable non-profit institution, where compassion and advanced care go hand-in-hand with excellence in clinical and scientific research. City of Hope is a National Cancer Institute designated Comprehensive Cancer Center and a founding member of the National Comprehensive Cancer Network, an alliance of the nation’s leading cancer centers that develops and institutes standards of care for cancer treatment.
The Beckman Research Institute of City of Hope is looking for a talented Postdoctoral Fellow in the Division of Mathematical Oncology . A Postdoctoral fellow (also known as a postdoc) is an individual holding a doctoral degree who is engaged in a temporary period of mentored research and scholarly training for the purpose of acquiring the professional skills needed for their career development.
Established in 2015, the Division of Mathematical Oncology seeks to translate mathematics, physics and evolution-based research to clinical care. The Division is committed to both developing and applying novel technics of mathematics and physics to translational problems in oncology. To this end, the candidate should be dedicated to multidisciplinary research and demonstrate a track record of publications involving collaborative research in mathematics, physics, engineering, oncology or a closely related field.
The candidate must have excellent communication skills. With guidance and mentorship from the Director of Mathematical Oncology, the candidate will be expected to work independently and support research into information flow and state-transitions in multiple omics datasets to study initiation, progression, and response to treatment in acute myeloid leukemia. Analysis will include but is not limited to: genomic analysis, time-series analysis, stochastic differential equation modeling, partial differential equation modeling, basic bioinformatics, and state-transition modeling. This position is supported by a U01 project grant through the Physical Sciences in Oncology Network (PSON) at the National Cancer Institute ( http://physics.cancer.gov ). The candidate will be expected to lead authorship of manuscripts related to research and grant milestones and to provide material for grant progress reports. The candidate will be expected to design and execute research in the area of Mathematical Oncology including, but not limited to, the following domains:
- Cancer modeling
- Novel metrics of response to therapy
- Cancer-immune system interactions
- Dynamical systems analysis
- State-transition modeling
- Ordinary, Stochastic, and Partial differential equation modeling (ODE,SDE,PDE)
- Data analysis
- Dimension reduction methods (PCA, t-SNE, UMAP, MDS,..)
- Prepare manuscripts and grant applications
- Present research results at national and international meetings
- Report research progress on a regular basis
- With guidance and mentorship from the Director of Mathematical Oncology, develop independent research and apply for funding to support research projects.
- Develop novel mathematical models and/or quantitative analyses to interrogate experimental data produced by lab-bench and clinical oncology collaborators
- Develop novel algorithms to identify and predict biological dynamics
- Utilize data visualization to explore and communicate complex ideas, including nonlinear dynamics and theoretical concepts as they pertain to oncology research
- Single out and implement preexisting algorithms for the purpose of biomarker discovery and sample classification
- Analyze and model structured data using advanced mathematical methods and implement algorithms and software needed to perform analyses
- Perform machine learning, and statistical analysis methods, such as classification, time-series analysis, regression, and hypothesis validation methods
- Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns
Basic education, experience and skills required for consideration:
- Ph.D. in applied mathematics, physics, oncology, or computer science or closely related field is required
- Proficiency with at least one of the following programming languages: R, Python, MATLAB, and experience with databases and SQL highly desirable
- Experience with analyzing high throughput data such as transcriptomic, proteomic, and/or genomic data including bulk and single-cell datasets
- Experience with time-series analysis and state-transition modeling
- For more information about Dr. Russell Rockne’s research, please click here .
City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.
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.