Job Description

Summary

Interested in driving data science innovation in healthcare? We are seeking a Data Scientist to collaborate on data science projects with utility experts. Will likely work on projects like health risk assessment, predicting adverse outcomes, signal processing and natural language processing (NLP). The ideal candidate will have significant experience using Python, and R, R Shiny, and MATLAB in multiple analytical applications, such as nonlinear time series analysis, machine learning (for example, binomial/regression models or ensemble models), deep learning (for example, NN, CNN, and RNN), and probability, statistics, and NLP. As with any successful analytics project, it all starts with the data, so you should have experience extracting and transforming data from relational databases, i.e. SQL Server. The Data Scientist is a full-time member of the data science team. As a Data Scientist, you will be responsible for finding creative solutions. The Data Scientist will engage with clinicians, fully understand their research questions and process flows and work collaboratively to address the challenges.

Job Duties

• NLP
• ML
• Development of dashboards, calculations and reports which may require programming in SQL and the like.
• Data management in SQL.
• Development and tuning of machine learning models, which may require programming in Python and/or R
• Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
• Translate healthcare challenges into mathematical problems (Requirement and Scope definition)
• Document the applications that are developed
• Participate in regular progress meetings with clinical collaborators (multiple times a week) face to face or via on-line meeting software; this may include working on-site
• Work with researchers and clinicians to design and implement new NLP components and prepare presentations and publications
• Develop infrastructure for cleaning and processing data and running experiments to evaluate system performance
• Perform error analysis and suggesting and implementing improvements
• Test, debug, and harden complex pipelines of NLP components
• Perform other job-related duties as assigned

Minimum Qualifications

• Master’s degree in statistics, science, mathematics or related field.
• Five years of relevant experience. 

Preferred Qualifications

• PhD in computer science, math, engineering, stats, or data science.
• Previous experience with VA EMR strongly preferred.
• Should have a proven track record of efficiently conducting and coordinating data analytics projects both independently and collaboratively.
• A background in a diverse field that complements data science (such as applied discipline expertise and statistics) is considered an asset.
• Strong programming skills, interest or experience in NLP research and machine learning, and be passionate about building NLP systems through innovation and experimentation. 
• Experience participating in the research process in an academic setting.
• Experience applying machine learning to NLP problems.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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