GSK recently declared its intention to create the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium with the National Cancer Institute (NCI) and the U.S Department of Energy (DOE). This consortium aims to dramatically accelerate the discovery and development of drugs with an aspiration to go from target to first in human precision trials in twelve months or less. GSK, NCI, and DOE hope to achieve this goal by applying high performance computing modeling and simulation to large datasets that include information about structure and properties of existing and potential drug compounds. As part of GSK’s commitment to this initiative, the company has created several post-doctoral opportunities to work alongside industry and government scientists and be placed at the ATOM facility in San Francisco, CA.
One of these postdoctoral positions will be for a Quantitative Pharmacologist with experience in clinical PKPD simulations and/or translating preclinical pharmacokinetics, pharmacodynamics and safety responses to humans. The incumbent will be part of a larger cross-functional consortium team at the ATOM facility, and together this team will be responsible for creating and maintaining quantitative models that will keep the execution teams focused on the most critical set of assays, predictions and design criteria during the accelerated Discovery effort.
This is an exciting opportunity to participate in an ambitious collaboration that will integrate high-performance computing, diverse biological data, and new approaches to molecular discovery in an exciting and energetic facility in the heart of San Francisco. Ultimately, the enablement of precision and accelerated discovery of therapeutics will expedite our ability to discover and develop novel medicines that will help patients do more, feel better and live longer.
Develop quantitative strategies for accelerating the discovery and development of targeted therapeutics for Oncology with a high probability of success.
Apply these quantitative strategies and build a quantitative pharmacology framework that will translate PK, safety and efficacy data generated in the ATOM labs during project execution into a solid understanding of how potential leads will behave in humans.
Work with the scientists throughout the ATOM facility to continuously optimize the Discovery process for generating therapeutics with a high probability of success in the shortest amount of time.
Develop mechanisms to share models and data throughout the organization during project execution and archive when appropriate.
Promote and increase the reputation of quantitative pharmacology modeling at the ATOM facility, at partner home organizations, and other external organizations such as regulatory agencies.
Help ATOM eliminate the use of animal models and promote accelerated filing timelines.
Why You?Basic qualifications:
Ph.D. degree in a scientific field, preferably chemical, mechanical or biomedical engineering, biochemistry, physics, applied mathematics, bioinformatics, scientific computing or related field.
Knowledge of pharmaceutical drug discovery or development. Aware of, but not constrained by today’s approaches.
Inquisitive, creative and bold. Disruptive and innovative thinker that can deliver results.
Excellent written and oral communication skills and the ability to interact effectively outside of the individual’s discipline.
An ability to work and thrive in an extremely energetic, intellectual, fast-paced and matrix environment. Excellent interpersonal abilities, demonstrated inclusivity, flexibility and a history of working collaboratively in a team environment.
Comfortable with risk, willing to fail, learn from it, and move on.
High learning agility and a willingness to contribute at all levels of the ATOM group, including areas outside of the individual’s expertise.
Familiarity with the application of quantitative pharmacology or systems modeling techniques in the pharmaceutical industry (e.g. QSP or Physiologically Based Pharmacokinetic (PBPK) modeling), and an ability to imagine how these principles could be applied early in Discovery and evolve during the lifetime of a program.
Deep understanding of drug delivery, absorption, distribution and metabolism, pharmacology and toxicology, PK/PD modeling, physiological based modeling, systems biology, data analysis, image analysis as well as translational and computational sciences.
Experience at building, solving and using mathematical models to integrate available data and applying these to answer practical questions and have a positive impact on projects.
Scientific computing and programming, and the ability to use common QSP software platforms (e.g. Matlab, Simbiology, R).
Experience using physiological based modeling software packages such as GastroPlus, SimCyp.
Knowledge of the pharma industry and/or the development of human therapeutics.
At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.
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