Job Details
Research Investigator Sr.
University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer…
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Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Research Investigator Sr.
Job Profile Title
Research Investigator, Senior
Job Description Summary
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. The PIGI Laboratory is an interdisciplinary translational research program operating at the intersection of cancer biology, molecular imaging, and image-guided interventions. The laboratory employs a multidisciplinary approach spanning molecular and cellular biology, cancer genetics, tumor immunology, cancer metabolism, animal models of cancer, advanced imaging technologies, and image-guided therapies, with the ultimate goal of developing novel diagnostic and therapeutic strategies for patients.
A major focus of the laboratory is understanding the biological mechanisms that govern response and resistance to locoregional therapies, including endovascular and percutaneous interventions, in hepatocellular carcinoma (HCC) and neuroendocrine tumors (NETs). Current research efforts emphasize characterization of the tumor microenvironment and its dynamic interactions with cancer cells, stromal elements, immune populations, and therapeutic interventions. The successful candidate will 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.
This position offers the opportunity to participate in an innovative and collaborative research environment, contribute to the strategic growth of a highly translational research program, supervise and mentor trainees and staff, and interact with a broad community of investigators within the Departments of Radiology and Cancer Biology, the Abramson Family Cancer Research Institute and the Abramson Cancer Center.
Job Description
Job Responsibilities
Qualifications
- Doctor of Medicine, Doctor of Philosophy, and 5 to 7 years of postdoctoral experience is required.
Job Location - City, State
Philadelphia, Pennsylvania
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. Qualified individuals will be expected to oversee general lab operations and assist other lab personnel with experimental procedures and analysis as well as contribute to the strategic scientific direction of the lab including the development new projects and assistance with grant writing.
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.
- Other duties and responsibilities as assigned
- Contingent Upon Grant Funding
Department / School
Perelman School of Medicine
Pay Range
$80,891.00 - $94,753.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
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