Post-doctoral Fellow - (Data Scientist) Forman Lab | CAR T
City of Hope, an innovative biomedical research, treatment and educational institution with over 5,000 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 20 leading cancer centers that develops and institutes standards of care for cancer treatment.
Requisition ID: 13003
Job Title: Postdoctoral Fellow- (Data Scientist) -Forman Lab| CAR T
Position Summary and Key Responsibilities:
The Postdoctoral Fellow will leverage expertise in machine learning, bioinformatics, data integration and/or cancer immunology to work on projects that drive the CAR T cell therapeutics clinical program at the City of Hope.
This role is specifically designed to guide research efforts that aim to understand the genomic and immunological foundation for response and resistance in the context of our current and future CAR T cell therapy trials in indications including glioblastoma, prostate cancer, and breast to brain metastatic cancer.
- Creating high throughput pipelines to process multiple clinical data types
- Developing and/or applying learning algorithms for integrative data analysis
- Analyzing multi view patient datasets to uncover response and resistance mechanisms
Reporting structure and Team:
The Data Scientist reports to the Director of Computational Immuno-Oncology and is a key member of the T Cell Therapeutics Laboratory at the City of Hope.
Essential Job Functions:
- Perform relevant research in response and resistance to cancer immunotherapy, focused on CAR T
- Develop data integration and informatics methods to analyze the 8+ patient derived clinical data types that include flow cytometry, IHC, whole exome sequencing, RNAseq, single cell sequencing and TCR sequencing
- Develop methods to analyze and integrate publicly available data sets
- Contribute to the scientific environment by presenting in both clinical meetings and T Cell Therapeutics Laboratory meetings, present at national conferences and make contributions to the broader computational biology community through publications
See the Stephen Forman, M.D. web page for an overview of research interests at: http://www.cityofhope.org/people/forman-stephen
Minimum Education and Skills Required for Consideration:
- Completed a Ph.D. in applied math, statistics, bioinformatics, computer science, or machine learning, with a preferred emphasis on immunology, cancer biology or similar.
- Strong theoretical and practical foundation in data science and experience with Python or R analytic packages
- Desire to work in an interdisciplinary team of computational biologists, bioinformaticists, mathematicians, cancer immunologists and clinicians.
- Ability to translate research ideas into practical implementations.
- Highly motivated with the ability to work independently.
- Excellent oral and written communication skills
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.