Note: The job is a remote job and is open to candidates in USA. Tempus AI is focused on advancing precision medicine through its proprietary platform that connects real-world data to deliver actionable insights. The Data Scientist II will engage with clients to understand their scientific needs, guide them in using the analytical platform, and ensure successful integration of their research with Tempus' data.
Responsibilities
- Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform
- Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design)
- Platform Guidance & Solutioning: Translate client scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging)
- Technical Optimization: Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible
- Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges
- Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis
Skills
- Advanced Scientific Degree: A Master's or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline)
- Data Analysis Proficiency: Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data)
- Technical Fluency: Hands-on experience with analytical tools and languages relevant to biomedical research. Having R coding experience is required. Knowing additional languages such Python and SQL and familiarity with cloud environments like AWS/GCP is a great added bonus
- Team work: Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly
- Client-Facing Experience: Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences
- Problem-Solving Mindset: A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions
- Experience in the biotech, pharma, or healthcare technology space
- Familiarity with distributed computing environments and modern analytical platforms
- Direct experience with oncology research
- Experience with R package development
- Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position
Company Overview
Company H1B Sponsorship
Apply Now