Post-doctoral scholar

Post-doctoral scholar

The Armstrong/Somarelli laboratory within the Department of Medicine and Duke Cancer Institute Center for Prostate and Urologic Cancers is a multi-investigator translational research lab focused on the molecular biology of prostate cancer progression, drug resistance, and metastasis.

We are seeking a motivated and hardworking postdoctoral candidate with a background in molecular biology or immunology to take a leadership role on projects focused on mechanisms of hormone therapy resistance in prostate cancer and the connection of these mechanisms to immunotherapy. The postdoctoral associate will be co-mentored by Dr. Jason Somarelli, a PhD basic scientist and expert in cancer biology; Dr. Andrew Armstrong MD, Professor of Medicine, a medical oncologist and Director of Research of the DCI Center for Prostate and Urologic Cancers; Dr. Brent Hanks MD PhD, Assistant Professor of Medicine and an expert in immuno-oncology.

The postdoctoral associate will be expected to carry out the research related to our active funding projects, including collaborating with other laboratory researchers, clinical research team members, bioinformaticians and biostatisticians. Funding for this position is supported by the National Institutes of Health as well as additional sources.  The candidate will need to independently develop experiments, analyze and interpret data, and document all research activities and data for subsequent use in publications and grant applications.The candidate will also be expected to write and apply for post-doctoral fellowships.

This position will be supported for two years with the potential for extension based on funding. Recent Ph.D. graduates are preferred. Required background and skills include:

• PhD degree with a background in molecular biology or immunology

• Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs)

• Familiarity with next-generation sequencing platforms and analyzing multidimensional data sets

• Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomics data

• Desire to conduct team-based science in close collaboration with clinicians, statisticians, and regulators

• Outstanding verbal and written English communication skills and organizational/ analytical abilities