Pfizer's Oncology Research Unit (ORU) in La Jolla, California, is seeking a Senior Scientist (PhD) focused on translating basic discoveries in the field of tumor biology into novel therapeutics.
The Senior Scientist will lead translational development efforts supporting drug programs currently in clinical development and/or advanced pre-clinical drug discovery stages including the advancement of new targets. Our ideal candidate will have strong translational research experience with hands-on expertise in conducting drug mechanism of action studies, elucidation of drug resistance mechanisms, understanding the drug impact on the tumor microenvironment, and development of rational drug combination strategies.
The candidate will lead biological translational studies utilizing genetic and pharmacological approaches to understand MOA and generate patient stratification strategies for novel cancer therapeutics. As a member of the group, the candidate will work together with a team of motivated and scientifically rigorous scientists to perform laboratory-based research in a collaborative team environment, interpret and present findings at team/project meetings and function as an integral member of the team to advance drug programs.
* Design, execute and analyze/interpret experiments to advance mechanism of action studies, develop patient responder hypotheses, elucidate mechanisms of resistance, understand impact on the tumor microenvironment, and identify rational drug combinations that can be translated to the clinic
* Develop and apply complex in vitro cell-based assays for conducting synthetic-lethal, drug combination screens to identify rational combinations and patient selection biomarkers
* Work collaboratively with computational biology group to integrate complex data sets including ‘omic' data in pre-clinical settings to advance mechanism of action target biology
* Collaborate with in vivo pharmacology group for efficacy testing, PK/PD and experimental design of preclinical PoC experiments and develop cell assays to measure pharmacodynamic changes, kinetics of drug response and evaluation of predictive biomarkers
* Interface with discovery biology, systems biology and computational biology groups to design, develop, and interpret datasets developed from genetic and pharmacological screens
* Proactively seek out new information in the literature and incorporate this into individual project(s) as well as the overall program
* Present research results and methodologies at weekly meetings with immediate supervisor and/or project leader, project team meetings and other research forums
* Contribute to building a culture that embraces scientific excellence, urgency, partnerships with key stakeholders, continuous learning and improvement, increasing technical skill base and cancer biology expertise; take a proactive role in personal growth and scientific development.
Training & Education:
* PhD in Molecular or Cellular Biology, Genetics, Pharmacology (or a comparable biological science) with additional postdoctoral training preferred plus 0-2 years' minimum relevant experience.
* Significant experience designing, conducting and analyzing functional genetic and/or cancer drug combination studies
* Preference for candidates with a strong track record in cancer drug discovery/translational research and the development of small-molecule inhibitors and/or PROTACs.
* Candidates with a strong foundational knowledge in cancer biology and expertise in cell cycle regulation that may include but not limited to E3 ligases and proteolytic control and/or phosphatase regulation of cell cycle progression and cell division
* Experience in use of CRISPR-based techniques for gene knockout, gene editing and as well as working knowledge of pooled CRISPR -based screening approaches
* Demonstrated ability to effectively interact and communicate in multidisciplinary project teams, including strong verbal and written communication and presentation skills
* Excellent organization and planning skills, the ability to work in a fast-paced environment independently and as part of a team, and strong motivation with a dedicated work ethic
* Technical expertise in computational imaging and single cell tracking approaches to study cell cycle progression is preferred but not required
* Expertise in 3D spheroid or other in vitro assays that mimic the human tumor microenvironment (e.g. immune cell-based functional assays) is a plus
* Demonstrate proficiency in the use of software tools to support data analysis; computational programming skills such as R script is a plus
Other Job Details
Eligible for Relocation Package
Eligible for Employee Referral Bonus
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Research and Development