Data Scientist I, Real World Data Science

9 hours ago

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+1 more states

🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote

💵 $75k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Tempus AI

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Healthcare • Biotechnology • Artificial Intelligence

Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.

1001 - 5000 employees

Founded 2015

🧬 Biotechnology

🤖 Artificial Intelligence

📋 Description

• Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition onto the Tempus Data Ecosystem and analytical platform. • 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). • 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). • Identify and implement technological solutions and workflow improvements to make the client experience on the platform as easy, efficient, and intuitive as possible. • Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges. • Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.

🎯 Requirements

• 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.

🏖️ Benefits

• incentive compensation • restricted stock units • medical and other benefits