Research Investigator Sr.

About the role

The Penn Image-Guided Interventions (PIGI) Laboratory in the Departments of Radiology and Cancer Biology at the Perelman School of Medicine at the University of Pennsylvania is seeking a highly motivated and organized Senior Research Investigator.

Responsibilities

• Work closely with investigators in interventional radiology, cancer biology, pathology, immunology, and computational biology to develop and lead studies leveraging patient-derived models, clinical biospecimens, molecular profiling technologies, and preclinical models of cancer.
• Contribute to the strategic scientific direction of the lab including the development new projects and assistance with grant writing.
• Oversee general lab operations and assist other lab personnel with experimental procedures and analysis.
• Supervise and mentor trainees and staff.

Qualifications

• Doctor of Medicine, Doctor of Philosophy, and 5 to 7 years of postdoctoral experience is required.
• A Ph.D. in biological sciences such as cancer biology, genetics, biochemistry, cell biology, bioinformatics or computational biology is required.
• In addition, the applicant must have completed post-doctoral training of at least 2 years duration with experience applying molecular biology and/or computational biology techniques to a cancer biology setting.
• Technical depth in cell and molecular biology, with proven experience in advanced assays, including at least one of the following: Cancer genetics and functional genomics Tumor immunology and immune profiling Cancer metabolism and metabolic phenotyping Single-cell and spatial transcriptomic technologies Next-generation sequencing and bioinformatic analyses CRISPR/Cas9 genome engineering and functional screening approaches Flow cytometry and immune-cell characterization Development and characterization of patient-derived cancer models Mouse models of cancer and therapeutic response studies Data analysis: Comfortable handling large datasets and performing exploratory data analysis to rapidly generate data visualizations and tables of summary statistics. Experience using R or Matlab for data analysis is preferred; however, other approaches are also acceptable.
• Experience designing experiments, supervising their execution, identifying sources of error and improving processes. Experience troubleshooting and optimizing molecular biology assays, training junior scientists and troubleshooting analytical issues.
• Organizational and clear communication skills are a necessity, including the ability to work with, and present effectively, in cross-functional teams of scientists and clinicians.

Preferred Skills

• Experience with the development of mouse and rat models of cancer.
• Knowledge of fluorescence markers and imaging with an understanding of basic absorption and emission spectroscopy.
• Experience with IHC (immunohistochemistry) and ability to interpret IHC staining results on human tissue sections.