The Newman Lab, in the Department of Biomedical Data Science at Stanford University, is seeking to recruit creative and driven postdoctoral fellows interested in working at the intersection of biomedical data science and cancer/stem cell biology. A major goal of the lab is the development of innovative computational methods that illuminate the cellular hierarchies and stromal elements that underlie tumor initiation, progression, and response to therapy. Recent work from our group includes papers describing CytoTRACE (Gulati et al., Science 2020) and CIBERSORTx (Newman et al., Nature Biotechnology 2019). We are also interested in devising approaches that address pressing analytical needs related to emerging genomic technologies.
Successful applicants will be expected to develop and/or apply computational tools to address basic or clinical research questions within our areas of focus, including tumor differentiation and development, the cellular composition of the tumor microenvironment, and cell lineage relationships in malignant and normal tissues. Key results are further explored experimentally, both in our lab and through collaboration, with the ultimate goal of translating promising findings into the clinic.
We are looking for candidates in two general areas to support these research goals including:
- All applicants should enjoy thinking deeply and working independently but also enjoy collaborating in a dynamic, exciting, and friendly team environment.
- Qualified individuals will demonstrate the potential for research as evidenced by their training and first-author peer-reviewed publications in relevant journals and should become competitive for national research fellowships.
- Dry lab candidates should have a strong background in bulk/single-cell genomics and an interest in combining cutting-edge bioinformatics tools with high-throughput technologies to study clinically-relevant heterogeneity in cancer patients.
- Familiarity with molecular and cellular biology, ideally with exposure to cancer biology, immunology, or stem cell biology is important.
- Previous experience in common programming languages (i.e., R or Python) and genomic data analysis is required.
- Wet lab candidates with a strong background in cellular and molecular techniques in cancer biology, stem cell biology, or tumor immunology are encouraged to apply.
- Familiarity with basic bioinformatics analysis is desired.
- Recent CV
- Copies of relevant papers
- Names and contact information for 3 references
- Cover letter briefly describing the applicant’s previous research, scientific interests, and fit for this position