General Summary of Position:

We are seeking a Data Scientist (temporary) to provide data analysis services for real-world clinical research by selecting and applying appropriate analytical methods to answer questions and test hypotheses as specified by clinical researchers, administrators, and clinicians.

Minimum Qualifications (Required):

Education: Master’s Degree in Computer Science,  Data Science, Bioinformatics field or related.

Experience:  Fluency in programming language (Python, SQL, SOLR)

Skills: Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms

Level I: Masters degree with some related experience

Level II: Masters degree with 1 year of related experience

Level III: Masters degree with 5+ years of related experience

Sr. Data Scientist: Masters degree with 10+ years of related experience

Additional Considerations:

Ability to work independently and as part of a team

Excellent communication and collaboration skills

Ability to prioritize and coordinate multiple tasks to meet tight deadlines determined by commitments to funding agencies, while complying with administrative requests and requirements

Preferred Qualifications:

Expertise in database study design, statistical methods, algorithms, and result interpretation

Designs research and operational databases, performing statistical analyses, and developing reporting infrastructures

Provides services to domain experts on analytical methods

Interacts with a range of experts in database modeling, advanced analytic processes, as well as clinical and domain experts

Special Instructions to Applicants:

Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applicants is received.

This is a part-time, temporary, non-unit, non-benefited position.   

Please include a resume and cover letter with your application.  Names and contact information of three references will be required during the application process.