Research Fellow in Biological Data Science
Informatics | San Francisco, Ca | Temporary
At the Parker Institute for Cancer Immunotherapy, we imagine a world where cancer is curable. We are making this a reality by transforming the way research is done. We bring together the top minds in cancer immunotherapy. We fund the boldest ideas that will lead to breakthrough discoveries. And we give our researchers the most innovative tools and resources to fuel their work. A not-for-profit organization, our goal is to accelerate the development of breakthrough immune therapies to turn cancer into a curable disease.
At the Parker Institute, you’ll be welcomed into a mission-driven family of smart, motivated colleagues. You’ll work on projects that make an impact for cancer patients and have a front row seat to innovations in cancer research.
Help create a world that is cancer-free. Join us. www.parkerici.org
Overview of the Role
The Parker Institute for Cancer Immunotherapy (PICI) Postdoctoral Program is a unique opportunity for outstanding young scientists to receive training at the interface of biological data science, genomics, and tumor immunology. The chosen fellow will be appointed on the data science team at PICI and will work on research projects aimed at generating novel insights into resistance to immune checkpoint blockade using large multi-omic data sets.
The fellow will be based remotely to start and will have the option of working from the San Francisco office of PICI in the future. The fellow will leverage their expertise in genomics and/or cancer immunotherapy to identify insights in massive datasets that will directly channel into the design of new trials at PICI. The postdoctoral fellow will work closely with the informatics team and be advised at PICI by Dr. Danny Wells. This work will provide a unique experience that will be particularly valuable for trainees considering a career in translational medicine and/or biological data science.
The initial appointment for this role is 1 year and has the potential to renew, based on performance.
Research Fellow Responsibilities:
Lead the analysis of multi-omic datasets to identify the mechanisms of resistance to immunotherapy treatments, especially in melanoma.
Develop novel bioinformatic approaches that generate meaningful features and/or insights into complex biological phenomena.
Write research manuscripts and grants to support research initiatives.
Participate in the science communication efforts at meetings, conferences, and local retreats.
Share and collaborate with members of both teams to meet goals and deadlines.
PhD in a relevant biomedical field (e.g., immunology, computer science, bioinformatics, genetics, applied mathematics).
Excellent knowledge of Python or R and ability to use this language to derive insights from complex data.
Experience working with either RNA-seq or whole exome sequencing data
Deep understanding of core biological principles and ability to ask non-obvious biologically informed questions that can be answered with large data sets.
Excellent oral and written communication skills.
Ability to work independently as well as collaboratively with a team.
Proven record of publication in reputable peer-reviewed journals.
Preferred but not required: experience with RNA-seq or WES data in a translational setting; laboratory experience (especially library prep for NGS); experience with unix command-line utilities or shell scripting.