Sr Data Scientist

Description

• Provide artificial intelligence, machine learning, natural language processing and data analytics support for peer review.
• Perform scientific domain analysis and prediction using ML, large scale clustering
• Explore algorithms that involve topic modeling and clustering, and test their scalability on massively big data.
• Work on free text data and incremental automated processes to facilitate federal scientific resource allocation procedures.
• Collaborate with data scientists, data analysts, and other scientific officers on NIH businesses and research.
• Perform large and complex data sets analysis, conduct quantitative and qualitative analysis
• Interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Collaborate with various stakeholders

• B.S. in computer science or equivalent. Master's degree in Bioinformatics or data science preferred. Minimum 7 years of experience in relevant field.
• Minimum 7 years of relevant experience.

• Advanced proficiency in programming languages such as R, Python, Pearl, C
• Demonstrated experience in handling large data sets, performing predictive analytics such as machine learning and data mining.
• Experience with analyzing large and complex data sets, with strong aptitude for conducting quantitative and qualitative analysis
• Experience with the application of bioinformatics and statistical tools and the analysis
• Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.
• Experience with handling large data sets, generate predictive regression models (logistic and multivariate) and apply machine learning algorithm such as random forest, elastic net.
• Experience with developing machine learning algorithms for object detection and recognition, large-scale indexing and retrieval and multimedia understanding
• Excellent presentation and communication skills; Demonstrated ability to clearly explain technical issues to technical and non-technical customers
• Experience with Cloud computing environments such as AWS, Azure.
• Experience with various bioinformatics databases and tools.

• Previous experience working with NIH
• Strong knowledge of NIH grants management processes and systems
• Knowledge of NIH peer review process