Become an expert in Tempus multimodal clinical and genomic data
Leverage Tempus's multi-modal data to identify patient cohorts for academic research partners who are building new machine learning enabled biomarkers.
Drive customer-focused improvements to the Tempus data model by collaborating with Tempus’ Data Science, Model Query, and Engineering teams
Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative database solutions
Document, summarize, and communicate data model, highly technical results, and methods to external technical and non-technical audiences.

Requirements

Master's Degree or equivalent experience in data science, computer science, healthcare informatics, statistics, or another related STEM field
2+ years of relevant work experience, preferably involving work with Life Science or Healthcare data in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
Strong command of SQL and/or other scripting languages to retrieve data from various bioinformatics databases
Strong proficiency in R or Python and/or other programming languages
Excellent project management skills, with proven ability to execute complex projects with multiple cross-functional stakeholders
Experience with engineering practices for research computing (Docker, Git, and Github, code review, Linux, cloud computing)
Thrive in a fast-paced environment and demonstrated ability to communicate technical concepts to non-technical stakeholders

Benefits

incentive compensation
restricted stock units
medical and other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLRPythonbioinformaticsdata modelingmachine learningstatistical analysisdata analysisdatabase solutionsproject management

Soft skills

communicationcollaborationcustomer-focused improvementsproblem-solvingadaptabilitystakeholder managementtechnical documentationteamworkleadershipexecution