Posted Date: August 13, 2018; Closing Date: Until position is filled.
The National Library of Medicine (NLM) of the National Institutes of Health (NIH) is seeking 2-3 tenure-track investigators to lead world-class research programs within its Intramural Research Program. The goal of this search is to identify candidates with the potential to develop a dynamic, innovative, and independent computational research program that will enhance NLM’s collaborative environment by performing novel, cutting-edge research and, thereby, advance the objectives of NLM’s new Strategic Plan, 2017-2027 to accelerate data-driven discovery. As part of this plan, and in alignment with NIH’s new Strategic Plan for Data Science, NLM is embarking on a major expansion of its Intramural Research Program, with a specific emphasis on data science methodologies, analytics, visualization, computer-assisted curation, and applications of novel methods for basic biological and biomedical discovery.
The NIH Intramural Research Program offers unique opportunities for interaction and collaboration with an extensive community of scientists who have broad expertise across all fields of biomedical research, proximity to NLM’s advanced biomedical data and information systems, access to NIH’s high-performance computing resource, and a funding model that facilitates the conduct of long-term, high-impact science that can be difficult to undertake in other research environments.
NLM seeks to recruit investigators with significant experience in the use of statistical, bioinformatic, machine learning, optimization, and advanced mathematical methodologies as applied to biomedical and health science, including one or more of the following domains of interest:
- Analysis of large biomedical data sets, multi-dimensional medical images, and unstructured text to generate new biomedical knowledge
- Standards and ontologies for the content and structure of biomedical and health data, to facilitate the automated aggregation and analysis of these data
- Natural language processing and computational linguistics, including question answering, de-identification, entity extraction, text indexing, and text mining
- Network and systems approaches to answering relevant questions related to molecular biology, biochemistry, and disease
- Genomic studies, including evolutionary genomics, metagenomics, ancient DNA-based genomics, cancer genomics, personalized genomics, population genetics
- Novel methods for processing and analyzing emerging types of large-scale data sets, such as those arising from single-cell expression studies and multi-dimensional (3D/4D) chromatin structure studies
We encourage individuals to apply who are at the forefront of working with complex biomedical and health-related data with the ability, expertise, and interpersonal skills to direct research projects yielding generalizable, scalable, and reusable methodologies. Ideal candidates are expected to have an outstanding record of publication and achievements in the aforementioned domains of interest.
Successful candidates will join a diverse, collegial, and cooperative community of investigators within NLM, providing a supportive environment for high-quality mentoring. Successful candidates will be supported with long-term, stable resources equivalent to those provided to faculty in academic departments; this includes the ability to recruit postdoctoral fellows and a budget for software, consumables, and equipment. Salary is competitive and will be commensurate with experience, and full federal benefits are included.
Applicants must have a Ph.D., M.D., or equivalent degree in a field appropriate to this recruitment, as well as demonstrated accomplishment commensurate with several years of postdoctoral research experience. Appointees may be U.S. citizens, resident aliens, or non-resident aliens with (or eligible to obtain) a valid employment authorization visa.
Interested applicants should submit the following materials electronically to email@example.com:
- A one-page cover letter
- Curriculum vitae
- A three-page description of proposed research
- A one-page statement describing the candidate’s mentoring approach and philosophy. This statement should include information on relevant mentoring experience involving women and individuals from groups that are underrepresented in the biomedical research community.
- Names and contact information for three referees familiar with the applicant’s work
Applications will be reviewed starting on October 1, 2018 and will be accepted until the position is filled.
For more information on NLM, please visit https://www.nlm.nih.gov. Additional information on the NIH Intramural Research Program can be found at http://irp.nih.gov. Specific questions regarding the recruitment may be directed to Dr. Andy Baxevanis, the Search Chair, at firstname.lastname@example.org.