STAFF SCIENTIST 1 for HCC Approval #: NLM34-0001
The following position will be posted from Monday, March 1, 2021 - Wednesday, March 31/2021
NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND
The National Library of Medicine (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 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 several areas of computational biology. This position is responsible for:
- performing interdisciplinary research;
- designing algorithms and devising new computational methods in the analysis and research of viral epidemiology, genomes, zoonotic transfer, pandemic surveillance, and forecasting, which would include SARS-CoV-2, influenza, and other viruses;
- collaborating with other scientists within the CBB on maintaining and improving previously developed in-house analyses on viral genomes;
- providing support to users of viral genome data and analytical methods;
- mentoring postdoctoral fellows, students, and postbaccalaureate fellows; and
- staying abreast of bioinformatics and emerging computational biology methods.
The main requirement of this position is to develop new computational algorithms for exploring viral pandemics. Duties include:
- performing innovative research using genomic data to predict new pandemics and novel pandemic risks;
- performing research and preparing manuscripts on the analysis of viral pandemics;
- developing new methods to identify potential pathogenic viruses as they appear in metagenome projects from around the world;
- applying novel phylogenetic approaches to evaluate the impact of non-pharmaceutical interventions and inform control strategies;
- setting strategic development priorities for research projects; and
- ensuring that development targets are met on time and within budget.
The person in this position will:
- work with multiple scientists and trainees within the CBB, including postdoctoral fellows, students, and postbaccalaureate fellows, and collaborate with individuals in the scientific community to further the aims of the projects;
- be responsible for managing timelines and priorities;
- develop novel methods of analysis to explore viral genomes and their variants and their association with diseases;
- assist in generating innovative computational methods and improving downstream analyses with scientists in the NCBI, NIH, and outside the NIH; and
- have expertise in machine learning and genomic studies.
The position aligns with department objectives to make the interpretation of biomedical data accessible and useful to scientific research, public health, and the general public through efficient and effective modern information technology (IT) practices and innovative design strategies and publications. It allows the NLM to fulfill a key goal in its Strategic Plan to support "research in biomedical and health information access methods and information dissemination strategies."
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 machine learning algorithms, construction of gene regulatory networks, enhancer-gene regulatory mechanisms, mathematical modeling of regulatory programs, and the discovery of disease causal variants in non-coding regions;
- familiarity with Next Generation Sequencing (NGS) data and relevant tools, such as genome assemblers, aligners, and variant callers;
- proven ability to apply mathematical modeling to a broad range of problems;
- fluency in Perl, Python, and R;
- 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;
- 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 firstname.lastname@example.org. Please include the announcement number, NLM34-0001, in the cover letter. Applications will be accepted until the position is filled.
DHHS, NIH, and NLM are Equal Opportunity Employers
Last Reviewed: February 26, 2021