Skip to main content
Premium Trial:

Request an Annual Quote

Research Scientist

Organization

Black Canyon Consulting LLC

Job Location

Bethesda
APT 608
Bethesda, MD 20894
United States

Benefits

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Description

Black Canyon Consulting (BCC) is searching for a Research Scientist to support the National Center for Biotechnology Information (NCBI) at the National Institutes of Health (NIH). This opportunity is full time at the NCBI in Bethesda, MD. 

The NCBI is part of the National Library of Medicine (NLM) at NIH.  NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/.

Job Description

This position will work with a team of scientists to develop novel computational methods and software tools for analyzing unstructured text data in the biomedical literature and electronic medical records, to accelerate knowledge discovery and improve healthcare. This position will also be responsible for improving existing text-mining processes and will collaborate with scientists at NLM, the National Institutes of Health (NIH), and outside the NIH on various text mining projects.

 

Requirements

Core Responsibilities

As a research scientist, the candidate will perform the following primary duties:

  • Developing and implementing deep learning/machine learning approaches to solve biomedical/biomedicine text mining problems.
  • Analyzing the unstructured data in biomedical texts to identify various kinds of information required by users and the gaps in the current system.
  • Writing manuscripts of the proposed methods and demonstration for journal or conference papers.

Qualifications

Applicants must have training with a strong emphasis on computation and familiarity with NLP & statistical methods in text and data mining, machine learning. A master’s degree or equivalent in biomedical informatics, computer science, or a closely related field is required. A PhD’s degree is strongly preferred. Strong programming and data analysis skills are essential. The ideal candidate will have the following skills, experience, and qualifications:

  • Deep knowledge of NLP text mining especially information extraction from biomedical text.
  • Experience working with named entity recognition, relation extraction, information retrieval, knowledge discovery, and/or other relevant text mining research topics.
  • Familiarity with biomedical and life science information (e.g., PubMed and PubMed Central).
  • Strong programming skills (e.g., Python, Java, C++, and Perl)
  • Familiar with deep learning methods (CNN, RNN, BERT models, etc.)
  • Good project management skills and experience.
  • Excellent communication and presentation skills.
  • A pro-active attitude and ability to work in a team.

Applicants need not be US citizens or Permanent Residents. Appointments are initially for two years, with the option of extension based on performance. Stipends are commensurate with research experience and education.

Career Blog headlines

Pension Strike Possible

The Guardian reports that university workers in the UK are considering a strike over a proposed pension cut.

Not as Hoped

The Chronicle of Higher Education says Rutgers University faculty are disappointed with a process aimed at addressing pay equity but that they say does not.

Pandemic Push for Grad Student Unions

Science reports that the pandemic has ramped up efforts to unionize among many graduate students.

Not Super Pleased

A survey explores how UK academics view their university leadership teams' decisions during the COVID-19 pandemic, Nature reports