美國希望之城研究中心數(shù)學腫瘤學博士后職位招聘

　　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.

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