Analyst, Data Growth and Operations Strategy
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.
What you’ll do:
- Support partnership development between Tempus and the Life Science industry by identifying patient cohorts for Tempus’ oncology data licensing business
- Partner with Tempus’ Pharma Business Development and Life Sciences Strategy & Operations teams to generate fit-for-purpose cohorts supporting pharma research
- Drive customer-focused improvements to the Tempus data model by collaborating with Tempus’ Data Science, Model Query, and Engineering teams
- Partner with the RWD Engineering team to design and implement OCR/NLP models for prospective cohort generation
Qualifications:
- 1+ years of relevant work experience, preferably 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
- Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations
- Comfortable working in a client-facing, fast-paced environment with executive stakeholders
- Experience building client-ready deliverables and other outputs
- Strong interest in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university or a side project
- Experience using Excel, Google Sheets, or equivalent spreadsheet software
- Ability to prioritize work independently, take ownership of deliverables, navigate ambiguity and juggle multiple projects simultaneously
- Curiosity and willingness to learn skills to elevate the use of automation in commercial operations
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