STAFF SCIENTIST 1
NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND
The National Library of Medicine’s (NLM), National Center for Biotechnology Information (NCBI) is recruiting for a Staff Scientist 1. The position supports interdisciplinary research in the Computational Biology Branch (CBB). NLM is one of the 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS).
NLM is looking for an outstanding candidate to conduct research, devise new methods, and develop programs to answer important questions in different areas of computational biology. This position is responsible for:
- performing interdisciplinary research;
- partaking in existing collaborations with other experimental and computational labs as well as establishing new collaborations;
- designing algorithms, devising new computational methods, and developing stand-alone and web-based applications;
- maintaining and improving previously developed in-house programs;
- providing support to users of the developed software;
- mentoring students and Postbaccalaureate Fellows; and,
- staying abreast of bioinformatics and learning emerging computational biology methods.
The ideal candidate may or may not be a United States citizen and must have a doctoral degree.
We are looking for an individual with:
- a Ph.D. in a quantitative field, such as Physics, Mathematics, Computational Biology, etc.;
- at least seven years of relevant postdoctoral experience;
- a strong track record in research as evidenced by peer-reviewed publications;
- research experience in computational evolutionary analysis, gene regulatory networks, comparative genomics, disease genetics using GWAS and other related databases, genomic and epigenomic architectures of cellular identity;
- research experience and/or up-to-date understanding of principles of eukaryotic gene regulation.
- hands-on experience on working with ENCODE, Roadmap Epigenomics, 4D Nucleome, FANTOM, VISTA etc. databases.
- familiarity with Next Generation Sequencing (NGS) data and relevant tools, such as genome assemblers, aligners, and variant callers;
- proven ability to work with classical machine learning AND modern deep learning algorithms, methods and tools;
- proven ability to apply mathematical modeling to a broad range of problems;
- fluency in C++, MATLAB, Python, R, bash/shell scripting, package maintenance (make files, PIP packages), unit testing, continuous integration;
- fluency in Python 2.7 and Python 3 versions of Tensorflow, PyTorch and Theano libraries;
- hands-on experience on working with GPU-based high-performance computing clusters;
- demonstrated experience in scientific programing and development of web applications;
- proven ability to work on interdisciplinary projects not directly related to his/her training;
- mentoring experience;
- a demonstrated ability to communicate effectively, both verbally and in writing; and,
- proven ability to work both independently and as a team member.
Salary is commensurate with research experience and accomplishments. A full package of benefits, including retirement, health, life, and long-term care insurance, Thrift Savings Plan participation, etc., is available.
The successful candidate will serve in a non-competitive appointment in the excepted service.
HOW TO APPLY:
Interested individuals should send a copy of their CV and Bibliography with the names of three references along with a cover letter detailing research interests, a brief summary of communication and organizational skills, and evidence of engagement in multi-disciplinary collaborative research to email@example.com. Please include the announcement number, NLM27-0015, in the cover letter. Applications will be accepted until the position is filled.
DHHS, NIH, and NLM are Equal Opportunity Employers
Last Reviewed: November 17, 2022