Bioinformatics Data Scientist

Key Skills

Python Programming, Machine learning techniques, Data Mining, R Programming, Statistical modeling, Bioinformatics

Job Description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We are seeking a highly motivated and capable bioinformatics data scientist with extensive experience and interest in translational cancer research. This position requires experience using real-world data for pharmaceutical research. Top candidates will also have experience with scientific programming, relational data systems, and statistical modeling.

What you’ll do

As part of the external data science team at Tempus, you’ll be on the front lines of our collaborations with external partners, helping them apply cutting-edge data science techniques to unique cancer datasets. Your work will be part of the foundation of the next layer of research questions: you will be responsible for implementing and/or developing bioinformatics tools to address biological questions that query cancer datasets, and for communicating results and scientific findings on a regular basis, using appropriate communication and visualization tools commonly used in biological research.

Requirements:

• Advanced degree (Masters or PhD) in bioinformatics, oncology, genomics, computer science or mathematics or related field, or 5+ years experience working with genomic and clinical data in cancer
• Familiarity with some standard bioinformatics pipelines
• Excellent communication and project management skills
• Experience with statistical modeling, data mining and/or machine learning
• Proficiency in R or python and/or other programming languages
• Collaborative mindset, an eagerness to learn and a high integrity work ethic

Nice-to-have:

• Experience working with gene expression data
• Experience or familiarity with variant calling methods and/or interpretation
• Experience working with clinical cancer data (progression free vs overall survival, missing data etc)
• Experience putting data science workflows into production
• Experience with version control, software testing, AWS technical stack
• External outreach or education (consulting, giving talks, teaching, open source contributions)
• Professional experience doing scientific R&D or translational science in the pharmaceutical or biotech industry

Location: Chicago is preferred, but candidates in Boston, the San Francisco Bay Area, New York/New Jersey, and remote will also be considered