Translational Medicine | San Francisco, Ca | Full Time
The Parker Institute for Cancer Immunotherapy (PICI) is radically changing the way cancer research is done. Founded in 2016 through a $250 million gift from Silicon Valley entrepreneur and philanthropist Sean Parker, the San Francisco-based nonprofit is an unprecedented collaboration between the country’s leading immunotherapy researchers and cancer centers, including Memorial Sloan Kettering Cancer Center, Stanford Medicine, the University of California, Los Angeles, the University of California, San Francisco, the University of Pennsylvania and The University of Texas MD Anderson Cancer Center. The institute also supports top researchers at other institutions, including City of Hope, Dana-Farber Cancer Institute, Fred Hutchinson Cancer Research Center, Icahn School of Medicine at Mount Sinai, Institute for Systems Biology and Washington University School of Medicine in St. Louis.
By forging alliances with academic, industry and nonprofit partners, PICI makes big bets on bold research to fulfill its mission: to accelerate the development of breakthrough immune therapies to turn all cancers into curable diseases.
Help us create a world that doesn’t fear cancer. Join us. www.parkerici.org
Overview of the Role
PICI is running a portfolio of cutting-edge clinical trials, featuring innovative science-driven drug combinations and with a strong translational science component. It is our belief that by deeply interrogating the molecular phenotype of blood and tumor samples from patients in our studies we will be able to guide the development of our clinical programs and identify predictive biomarkers that can be used for patient stratification. To this end, the PICI Informatics team in collaboration with Translational Medicine has developed a database platform and associated tools that power the analysis of clinical and molecular data
The Translational Scientist will work in close collaboration with the Informatics team to analyze a variety of molecular data types including sequencing, flow cytometry and tissue imaging derived from patients enrolled in our studies. The ideal candidate will have a strong understanding of the underlying biology, while at the same time having enough familiarity with data analysis software to be able to drive the generation of initial reports and insights from the data.
This position would be ideal for someone with a strong biological background wanting to transition away from bench work and into data analysis. Mentorship will be provided by key members of the Informatics team to gain experience in data analysis, bioinformatics, and coding.
Reporting Structure and Team
The Translational Scientist reports to the Vice President, Translational Medicine and Regulatory Affairs and is a key member of both the Translational and Informatics teams.
FLSA Status: Exempt
Essential Job Functions
- Coordinates and oversees biomarker sample analysis from sample selection, oversight of biomarker assay and data analysis to support addressing clinical questions.
- Partners with the Informatics team to drive the generation of reports for a variety of molecular data types including nucleic acid sequencing, cytometry, and multiplex IHC assays
- Represents Translational Medicine on cross-functional project teams. Guide teams with input from senior translational colleagues to deliver on biomarker reporting for clinical studies.
- Collaborates with translational and clinical teams including external partners to ensure detailed analysis and reporting that answers key questions of interest to all parties.
- Provides well organized and detailed presentations on analysis in presentation and written formats.
- Contributes to generating figures and writing of scientific publications including journal articles and conference presentations.
Knowledge, Skills, and Experience
- Ph.D. with knowledge of cancer immunology and ability to contribute to disease- and immune-specific questions and hypotheses
- Familiarity with assay and data outputs from either tissue- or blood-based assays with in-depth knowledge of at least one of the following platforms: nucleic acid sequencing (DNA or RNA), flow cytometry or similar assays, multiplex IHC. Experience in reporting on proteomic, microbiome or other multiomic analysis a plus.
- Minimum of 1-2 years’ oncology biomarker experience in early phase clinical development
- Data analysis skills with experience using Excel/Tableau or similar software. Coding experience, in particular beginner-level R, will be considered a strong plus.
- Ability to work within a team and as an individual contributor in a fast-paced, changing environment
- Ability to leverage and/or engage others to accomplish projects
- Strong verbal and written communications with ability to effectively communicate and collaborate with a technical team
- Multitasks, prioritizes and meets deadlines in a timely manner.
- Strong organizational and follow-up skills, as well as attention to detail
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