美国国立卫生研究院/国立医学图书馆2023年招聘博士后职位（计算生物学）
美国国立卫生研究院（National Institutes of Health），简称“NIH”，位于美国马里兰州贝塞斯达（Bethesda），是美国最高水平的主要医学与行为学研究机构，初创于1887年，
该院任务是探索生命本质和行为学方面的基础知识，并充分运用这些知识延长人类寿命，以及预防、诊断和治疗各种疾病和残障。该院在近几十年取得的研究成果极大的改善了人类的生命健康状况。
STAFF SCIENTIST 1
National Institutes of Health/National Library of Medicine
POSITION INFORMATION:
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 in computational analysis of human regulatory genomics. The candidate will develop state‐of‐the‐ art deep learning methods for the accurate prediction of enhancers and silencers, identification of disease‐causative mutations, and reconstruction of cell‐type specific regulatory architecture of the human genome. This position is responsible for:
• developing machine learning methods. including deep learning methods;
• performing statistical analyses, devising new computational methods, and creating analytic
models;
• analyzing large genomic and epigenetics datasets;
• working in collaboration with other experimental and computational laboratories at the
NIH;
• publishing scientific manuscripts and presenting at conferences and meetings;
• mentoring students and postdoctoral fellows; and,
• staying abreast of bioinformatics and deep learning methods as well as genomic
resources.
QUALIFICATIONS/ELIGIBILITY:
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 several of these qualifications or talents:
• a Ph.D. in a quantitative field, such as Computer Science, Mathematics, Computational Biology,
or Bioinformatics;
• at least two years of relevant postdoctoral experience;
• a strong track record in research as evidenced by peer‐reviewed publications;
• research experience in regulatory genomics, statistics, evolutionary biology, gene regulation,
epigenomics, computational disease genetics, and genomic and epigenomic architectures of cellular identity;
• research experience and/or up‐to‐date understanding of the principles of eukaryotic gene
regulation;
• hands‐on experience on working with the Encyclopedia of DNA Elements (ENCODE), NIH Roadmap Epigenomics, Ensembl, and similar databases;
• experience developing deep learning algorithms, methods, and tools;
• fluency in Python, R, and MATLAB, including TensorFlow, PyTorch and/or Theano
libraries;
• experience working with GPU‐based architectures;
• proven ability to work on interdisciplinary projects;
• mentoring experience;
• ability to communicate effectively, both verbally and in writing; and
• 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 ncbijobs@ncbi.nlm.nih.gov. 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
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