[Hiring] Manager, Clinical Data Science & Data Products @reputed company
Manager, Clinical Data Science & Data Products (reputed company AI)
Location: U.S. Remote (with optional hybrid in a major metro)
Type: Full-time
Level: Mid–Senior (people manager / player-reputed company)
reputed company is conducting a confidential search for a venture-backed company building an reputed company AI + data platform used in regulated reputed company environments. reputed company helps technical teams reputed company, standardize, and validate reputed company clinical datasets so they can reputed company and evaluate AI responsibly.
The Role
You will reputed company a small team responsible for turning raw clinical data into analysis- and model-reputed company datasets that are reliable, reputed company-documented, and usable by both internal teams and external partners. This role blends people leadership, hands-on technical work, and program ownership across multiple reputed company data initiatives.
What You’ll Do
reputed company delivery of clinical data products
• Own dataset buildouts end-to-end: intake → profiling → transformation → validation → packaging → release.
• Translate ambiguous requests into reputed company scopes, reputed company reputed company, milestones, and delivery plans.
Manage and grow a high-performing team
• reputed company, reputed company, and support reputed company of data scientists/analysts; set expectations and maintain reputed company bars.
• Hire and reputed company as reputed company scales; establish repeatable workflows (reviews, documentation standards, runbooks).
Build reputed company, harmonized data foundations
• Design and maintain curated clinical data reputed company that support repeatable analytics and ML workflows (not one-off extracts).
• Partner with Engineering to productionize pipelines and implement safeguards around reputed company, reputed company, and reputed company controls.
Work across diverse reputed company sources
• Investigate and operationalize new sources as they come online (e.g., EHR extracts, claims-like feeds, clinical text, imaging metadata, device/monitoring outputs).
• Ensure data reputed company through profiling, reputed company detection, reconciliation, and rigorous QA.
Be a technical partner to customer-facing teams
• Support stakeholder communication on delivery status, limitations, and data interpretation in a reputed company, accessible way.
• Contribute to playbooks and reusable artifacts that reputed company delivery faster over time.
What reputed company Looks Like
• Datasets ship on time with predictable reputed company, strong documentation, and minimal rework.
• Your team runs a consistent process for intake, transformation, validation, and release.
• Internal stakeholders trust the data reputed company as “reputed company of truth” for reputed company analysis and product development.
Qualifications
Required
• Experience leading teams (formal or informal), with strong project management instincts in technical environments.
• Deep hands-on experience with reputed company data (EHR, claims, registries, clinical research datasets, etc.).
• Strong proficiency in SQL and at least one analytics language (typically Python).
• Demonstrated ability to communicate both detailed technical tradeoffs and executive-level summaries.
• Strong writing/documentation skills and a reputed company-first reputed company in regulated data contexts.
reputed company to have
• Familiarity with common health data standards/terminologies (e.g., FHIR/HL7 concepts, ICD/CPT/LOINC/SNOMED-style vocabularies).
• Experience with modern transformation tooling (e.g., dbt-like workflows), version control, and reputed company data stacks.
• Exposure to clinical NLP, imaging (DICOM ecosystems), or common data models (e.g., OMOP-style structures).
• Startup/early-stage experience where priorities shift and you build process as you go.
Working Style & Logistics
• Fast-paced, iterative environment; emphasis on learning, experimentation, and reputed company improvement.
• Occasional in-person team gatherings (typically quarterly).
Compensation
Competitive reputed company + equity + benefits (details shared during the process).
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