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 Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems. The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
Responsibilities:
- Analyze real world data of care pathways to inform algorithm development and provide insights to current standard of care prior to Tempus Next interventions for providers and sponsors
- Contribute to technical product requirements to define care pathway & decision tree algorithms
- Create and maintain reporting infrastructure to monitor product performance and overall data quality with support from engineering
- Stay updated on methodological advancements in oncology guidelines and ongoing clinical trials
- Collaborate with internal product, engineering, oncology, bioinformatics, and clinical abstraction teams to continually enhance Tempus data quality and feature builds for Tempus Next
- Ensure compliance with all relevant regulations and company procedures.
Required Experience:
- Degree in epidemiology, biostatistics, data science, clinical informatics, public health, or related fields. Entry level PhD, Master’s degree +1 or more years relevant work experience or Bachelor's + 3 or more years relevant work experience accepted.
- Proficient in SQL, R or Python, especially relevant statistical tools and packages
- Familiarity with real world data sources such as EHR systems or claims databases
- A collaborative growth mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.
Ideal candidates will possess:
- Familiarity with analyzing oncology clinical data
- Familiarity with DBT workflows
- Familiarity with creating and maintaining BI dashboards; Looker experience nice to have
- Familiarity with machine learning techniques, with an understanding of the strengths and limitations of various approaches
- Proficiency in navigating large, complex problems within a fast-paced environment.
- Meticulous attention to detail coupled with a commitment to delivering analytics of the highest quality and punctuality.
#LI-GL1#LI-Hybrid#LI-Remote
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Tempus AI Redwood, California, USA Office
Our Redwood City office is located in a waterfront neighborhood at the heart of Silicon Valley, providing convenient access to tech hubs and boasting a thriving business scene. With excellent transport options and a range of dining choices, it's a dynamic hub for professionals and tech enthusiasts.
Similar Jobs at Tempus AI
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
