Principal Duties And Responsibilities
Regularly conduct computational experiments to execute algorithms on various health and biomedical informatics projects as guided by faculty members.
Assist with new project development including literature review, study design.
Works independently and has latitude to make decisions on projects s/he is accountable for, but receives guidance and direction in strategy and approach to problem solving.
Works collaboratively with group members for research study design and execution.
Implement NLP algorithms, summarize findings and generate study results for research topics.
Write, edit or critique technical reports and/or publications describing research results to sponsors or funders of the research.
Proof text, tables, and data analysis files for software, code and experiments.
Communicate and present analytical results to researchers, faculty, and other academic professionals in associated field of expertise (spoken presentations, poster or written work summaries for display, panels, and other formats).
BS/BA and 2 years of related experience or a combination of education and work experience to equal six years.
Understanding of algorithms, data-structures and software engineering principles
Strong programming skills in Python or Perl. Knowledge of C/C++, SQL. The successful candidate must be able to demonstrate these skills with sample code written in these languages
Understanding of key natural language processing, data mining, machine learning and statistical methods
Experience working independently in a rapid changing scientific environment
M.S. in Computer Science, Informatics, Computational linguistics, Statistics, or related technical disciplines.
Research experience in natural language processing, text mining in electronic health records, biomedical literature and/or social media data
Knowledge of medical terminologies and ontologies (e.g., UMLS, SNOMED-CT, ICD)
Expertise in Machine Learning, Neural Networks and Deep learning for NLP tasks
Experience in publishing and presenting scientific papers in conferences/journals
Ability to work collaboratively with a diverse group of research scientists with different skill sets and expertise
Level of experience (years):
Mid Career (2+ years of experience)