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Overview: You will drive adoption of Tempus Lens by architecting collaborations with academic and foundation partners and enabling data-driven oncology use cases. You’ll guide customers through using the Lens platform to apply advanced data science to cancer datasets, bridging science and business outcomes. The role combines pre- and post-sales engagement with hands-on design, training, and data onboarding to scale a cloud-based SaaS platform. You’ll work with cross-functional teams to ensure partners access the latest Tempus data and tooling, shaping a scalable customer enablement strategy. This is a chance to influence evidence-based medicine at scale in precision oncology.
Responsibilities: Lead collaborations with academic and foundation partners to provide access to Tempus data and tools Define and execute the customer enablement strategy to drive adoption and scalability Guide customers in applying cutting-edge data science techniques to unique cancer datasets on the Lens platform Train and onboard customers, filter data of interest, and design data science/analytics use cases Collaborate with Data Science, Operations, and Medical Science teams to surface datasets to customers Design and communicate technical concepts to non-technical stakeholders in executive settings Work within Real World Data and Translational Research teams to maintain current standards and practices Assist with retrospective study design in collaboration with principal investigators and leadership
Key requirements: Advanced degree in bioinformatics, computational biology, statistics, computer science, or related field, or 3+ years’ experience with genomic and clinical data Experience with statistical modeling, data mining, and/or machine learning Proficiency in R, Python, or equivalent languages Experience with AWS or GCP stack Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing, etc.) Strong project management and post-sales skills; ability to align scientific results with business outcomes Ability to communicate technical concepts to non-technical stakeholders strong communication customer-facing collaboration problem solving genomic and clinical data experience statistical modeling machine learning

Also on the board Same function, level within a rung

Level

Lead

Location

Brooklyn, NY

Occupation

Computer Systems Engineers/Architects

Industry

Computer Systems Design Services

Posted

today

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