Solution Architect

Tempus AI • New York City, NY

3d

About The Position

Tempus is seeking a Solution Architect for its Lens team, which is building a cloud-based Software-as-a-Service data science platform. Lens combines real-world evidence and advanced algorithms to help researchers investigate precision medicine using Tempus’ multimodal clinical, imaging, and molecular data. The role supports collaborations with academic and foundation partners, giving them access to Tempus data and tools and helping establish a scalable customer enablement strategy.

The Solution Architect will guide customers in using Lens and applying data science techniques to cancer datasets. Customer engagement spans training and onboarding, identifying relevant data, and designing and implementing analytics and data science use cases. The role works closely with Data Science, Operations, Medical Science, Real World Data, and Translational Research teams to deliver datasets and ensure customers use current standards and practices. The position also provides technical guidance to researchers, executives, and other partner stakeholders.

Requirements

• Advanced degree (Master’s or PhD) in bioinformatics, computational biology, statistics, computer science, or a related field, or at least 3 years of experience working with genomic and clinical data.
• Experience with statistical modeling, data mining, and/or machine learning methods.
• Proficiency in R, Python, and/or other programming languages.
• Experience with software development and the AWS or GCP technical stack.
• Experience with research computing engineering practices such as Docker, Git, GitHub, code review, Linux, and cloud computing.
• Strong project management and post-sales skills, including understanding and qualifying customer requirements, helping customers progress against a roadmap, and aligning scientific results with business outcomes.
• Demonstrated ability to communicate technical concepts to non-technical stakeholders.

Nice To Haves

• Familiarity with standard bioinformatics pipelines.
• Familiarity with the academic research landscape in oncology.
• Experience putting data science workflows into production.
• External outreach or education experience, such as consulting, giving talks, teaching, or open-source contributions.
• Experience with SQL or other query languages.
• Extensive experience or interest in oncology, real-world data, or genomics.
• Experience with cloud computing technologies, academic and foundation prospects and customers in pre- and post-sales engagements, and implementing machine learning and/or statistical models.

Responsibilities

• Help build and launch collaborations with academic and foundation partners, providing them access to Tempus data and tools.
• Drive customer adoption and scalability for a new customer enablement strategy.
• Guide customers in using the Lens platform and applying data science techniques to cancer datasets.
• Train and onboard customers throughout their engagement with Lens.
• Help customers filter and identify data of interest.
• Design and implement customer data science and analytics use cases.
• Work with Data Science, Operations, and Medical Science teams to make datasets available to customers.
• Provide trusted technical advice to primary investigators, research teams, executives, and health system partners.
• Support customers in defining requirements, progressing against a roadmap, and aligning scientific results with business outcomes.
• Help customers use Tempus data and tools according to current standards and practices.

Benefits

• Incentive compensation may be offered.
• Restricted stock units may be offered.
• Medical and other benefits may be offered depending on the position.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level