Data Scientist

Company Intelligence

Tempus AI (NASDAQ: TEM), formerly Tempus Labs, is a Chicago-based healthcare technology company founded in 2015 by Eric Lefkofsky. It specializes in AI-driven precision medicine, building the Tempus Platform to aggregate multimodal healthcare data (genomic, clinical, imaging) from silos, enabling intelligent diagnostics and analytics for oncology, hereditary testing, and pharma services. With ~2,400 employees and a $12B market cap (as of Jan 2026), it holds a strong position in AI-healthcare, boasting 72% YoY revenue growth (TTM), 55% 3-year CAGR, and Q3 2025 revenue of $334M (up 84%), driven by $1.1B total contract value from deals with Pfizer, Eli Lilly, GSK, AstraZeneca, and biotechs like Aspera. Recent growth includes oncology testing ($139M), hereditary ($102M), and data/services ($81M) segments, with analysts forecasting 80% Q4 revenue to $360M+; expansion into non-oncology via its 350+ petabyte de-identified data "Library" powers AI models and high-margin pharma partnerships. The company operates a "flywheel": diagnostics generate data, data trains AI, AI boosts demand—positioning it as a data platform disguised as a lab, not a traditional diagnostics competitor. Culture emphasizes innovation in precision medicine, with a tech-first environment linking structured genomics to unstructured clinical data for actionable insights; HQ in Chicago, supports remote US roles as per the Data Scientist posting. Mission: Free healthcare data silos and make it useful via AI for personalized diagnostics and research; values include data scale, AI integration, and pharma collaboration. Primary office: Chicago, IL; remote-friendly for US positions, aligning with the listed remote Data Scientist role.

Program Deep Dive

This mid-level Data Scientist role at Tempus Data Platform is remote (US), targeted at students/recent grads (18-25) via platforms like Remote Rocketship, focusing on AI/ML in healthcare data platforms.[web:0 from query context] Structure: Full-time mid-level position (not explicit internship), likely 12+ months with project-based timelines tied to platform enhancements; involves daily data pipeline work, model training on petabyte-scale multimodal datasets (genomics, clinical notes, imaging). Key skills: Python/R, ML frameworks (e.g., TensorFlow/PyTorch), SQL/big data tools (Spark), stats; healthcare domain knowledge (oncology/genomics) a plus; competencies include data wrangling, AI model deployment for diagnostics/trials matching. Responsibilities: Analyze de-identified patient data, build AI models for Insights/Trials/Lens platforms, support pharma trials (e.g., matching via Algos suite); learning via exposure to 350PB library, real-world oncology applications. Mentorship: Likely paired with data teams given Tempus's collaborative AI focus; training on proprietary tools like Hub/Lens. Progression: To senior DS, AI engineer, or product roles; alumni often advance in precision med tech/pharma analytics due to high-visibility projects.[inferred from growth trajectory]

Application Success Guide

Requirements: BS/MS in CS/Stats/Data Science (or equivalent); 2-4 years exp (mid-level, but entry-friendly for strong grads); portfolio of ML projects; US work eligibility. No deadline listed—apply ASAP via https://www.remoterocketship.com/jobs/mid-level-data-scientist/.[web:0] Process:

1. Tailored resume/cover (highlight healthcare/ML projects);
2. Online app with GitHub/LinkedIn;
3. Technical screen (coding/SQL);
4. Interviews (2-4 rounds: behavioral, case study, live coding);
5. Offer.[standard for Tempus-like roles] Common questions: "Design a model to match patients to oncology trials using multimodal data" (test data integration); "Handle imbalanced genomic datasets?"; "Explain Tempus flywheel in your work." Assessments: SQL queries on sample healthcare data, ML case (e.g., predict outcomes from RNA seq + notes), no formal center but virtual panels.[inferred from AI-health tech norms] Standout: GitHub with healthcare ML (e.g., Kaggle genomics), Tempus-specific knowledge (e.g., cite Library/Insights).

Insider Tips

Tempus values technical depth in AI/data engineering (e.g., scalable models on petabyte data) over pure soft skills, but emphasize collaborative impact (e.g., "How your model aids trials?"); demo oncology awareness via deals (Pfizer/AstraZeneca). Prioritize: Tech (60%—ML on multimodal data), soft (40%—problem-solving, adaptability). Show industry knowledge: Precision med flywheel, NGS diagnostics, AI in pharma trials. Ask: "How does the Data Scientist role contribute to expanding the Library beyond oncology?"; "What's the biggest data challenge in recent Pfizer collab?"—signals research. Avoid: Generic resumes (no Tempus/oncology refs); overclaiming exp without code; ignoring remote collab tools (e.g., Slack/Jupyter).

Practical Information

Salary: $120K-$160K base for mid-level remote DS (entry skews $110K+), plus equity (TEM stock volatile, 52-wk $36-$104). Benefits: Standard tech-health (health insurance, 401k match, unlimited PTO); AI perks like compute credits, conference stipends.[inferred from scale] Start: Rolling, flexible for grads; duration: Permanent mid-level, not fixed-term.[web:0] Networking: Leverage LinkedIn alumni (2,400+ employees), attend precision med events; post-program connects to pharma partners for rotations. Tailor apps now—Tempus's 80% growth signals hiring surge.