Sr. Data Scientist

The focus of the Senior Data Scientist will be to develop and refine algorithms to identify disease phenotypes that will be used for research, clinical applications, and beyond. Additional areas of focus may include Predictive Model development and validation, using Natural Language Processing (NLP) to extract information from complex data sets, and additional machine learning algorithms.

Principal Duties and Responsibilities - Lead clinical research projects as determined by the research sponsor and the Director - Plan, document, and implement systems that manage complex data flow and data update strategies - Work collaboratively with the team to create and document policies regarding data usage, users, the Institutional Review Board (IRB), and the privacy committee - Research and develop statistical learning models for data analysis - Responsible for the development and implementation of NLP models, algorithm, and frameworks to support clinical research and sponsored projects - Keep up-to-date with the latest technology trends - Communicate results and ideas with co-investigators, team members, and collaborators - Implement new statistical or other mathematical methodologies as needed for specific models or analysis - Optimize joint development efforts through appropriate database use and project design - Work with sponsored and academic collaborators to understand needs and implement cutting-edge algorithms with machine learning - Communicate progress status against project plans to the project manager and key stakeholders -

Qualifications - Master's Degree in Computer Science, Statistics, Applied Math or related field; PhD Preferred - 7+ years' practical experience with ETL, data processing, database programming, and data analytics - Experience working with healthcare and/or clinical data - Extensive background in data mining and statistical analysis (e.g., SAS, SPSS, Stata, Python, R, or MATLAB) - Able to understand various data structures and common methods in data transformation - Able to develop new techniques - Excellent pattern recognition and predictive modeling skills - Experience with programming languages such as Java, Python and/or R - Familiar with natural language processing (NLP) - Familiar with traditional machine learning algorithms - Proficient in SQL - Comfortable working independently and defining measurable, achievable goals

Required Skills

1. NLP

2. Clinical health experience

1. NLP

2. Clinical health experience

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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