美国希望之城研究中心2020年博士后职位招聘（数学肿瘤学）

Postdoctoral Fellow - Mathematical Oncology

City of Hope

Location: Duarte, CA

Job Number: 7064938 (Ref #: 10004340)

Posting Date: Feb 27, 2020

Application Deadline: Open Until Filled

Job Description

About 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.

Position Summary

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 advanced image analysis in two ongoing clinical trials involving CAR T-cell therapy. Analysis will include but is not limited to: multiparametric MRI, including multiple b-value diffusion, DCE and DSC perfusion, image registration and segmentation, and PET image quantification. This position is supported by two ongoing funded grants by the California Institute for Regenerative Medicine (CIRM). The candidate will be expected to provide material for grant progress reports, and will be expected to lead authorship of manuscripts related to research and clinical endpoints.

The candidate will be expected to design and execute research in the area of Mathematical Oncology including, but not limited to, the following domains:

Patient-specific modeling

Novel metrics of response to therapy

Cancer-immune system interactions

Medical image analysis and processing

Dynamical systems analysis

Treatment resistance

Key Responsibilities include:

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

Qualifications

Basic education, experience and skills required for consideration:

Ph.D. in applied mathematics, physics, oncology, or computer science or closely related field is required

Preferred education experience and skills:

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 is beneficial

Experience with medical imaging (MRI, PET, etc.) and/or image processing is highly desirable

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.