Postdoctoral Fellow - Bioinformaticist (Regeneration and Stem cell Biology)
National Cancer Institute, Frederick, MD
About the position
A Postdoctoral Fellowship is available immediately in the laboratory of Dr. Erin L Davies, Stadtman Investigator in the Cancer and Developmental Biology Laboratory at the National Cancer Institute Center for Cancer Research in Frederick, Maryland, USA. We seek an experienced and collaborative bioinformaticist to support primary research projects and to build public-facing community resources for two new laboratory models, the regenerative flatworms Macrostomum lignano and Schmidtea polychroa. We use these tractable laboratory organisms to study how adult pluripotent stem cells are specified during development, and how these stem cells are regulated to sustain lifelong tissue homeostasis and regeneration.
The Postdoctoral Fellow will spearhead ongoing transcriptomic projects and will be expected to prepare analyses, code repositories, and necessary documentation for publications. Good communication, documentation, and organizational skills are required. The Davies lab values team driven science and collaboration with extramural colleagues and technical specialists in NCI/NIH core facilities. Dr. Davies seeks to mentor trainees individually and holistically, with an eye towards developing technical competencies, scholarship and communication skills, management, and career planning.
Apply for this vacancy
What you'll need to apply
Candidates should contact Dr. Davies (firstname.lastname@example.org) to initiate a discussion about postdoctoral research opportunities with her team.
- cover letter highlighting your qualifications and interest in the position
- contact information for three professional references
Ph.D. or equivalent degree in the life sciences (e.g., molecular biology, developmental biology, stem cell biology, genetics, evolutionary biology) or bioinformatics, computational biology, or a related STEM field.
Proficiency in programming languages (Python, R) with the ability to handle large-scale datasets and implement advanced data analysis methods for bulk and single cell transcriptomic studies.
Experience working in a UNIX environment on a high-performance computing cluster.
Candidates with a strong computational background, or a blended background in wet bench biology and bioinformatics, are strongly encouraged to apply.
The successful candidate will be enthusiastic about developing tools, reagents, and resources for emerging research organisms.
Experience in analysis methods for next generation transcriptomics (bulk and single cell RNA-Seq) and genomics are highly desirable.
Demonstrated experience in creating clear, interpretable graphics for publication and expertise in data visualization techniques.
Strong desire and ability to develop interactive and user-friendly apps for data manipulation and presentation, such as RShiny apps.
Candidates should possess strong oral and written communication skills, and the desire to work as part of a collaborative, multidisciplinary research team.
The NIH is dedicated to building a community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
Full funding and benefits are available for U.S. citizens and international hires.
Applicants must pass a federal background check and have less than five years of relevant research experience since receipt of their doctoral degree.
Applications will be reviewed on a rolling basis until the position is filled.