Senior Manager, Real World Data Strategy

Scorpion Therapeutics

New Jersey

On-site

USD 139,000 - 169,000

Full time

9 days ago
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Benefits offered by this job

Health coverage
Wellbeing support
401(k)

Job summary

Scorpion Therapeutics seeks a Senior Manager, Real-World Data Strategy to lead end‑to‑end RWD initiatives, coordinate cross‑functional milestones, and embed AI/ML into data pipelines. You will govern external data sources, design scalable data products, and track impact through defined KPIs.

The role requires a life sciences or data analytics background, 4–5 years of relevant experience, and hands‑on proficiency with Claude Code, SQL, Python, and cloud data environments.

Qualifications

  • Bachelor’s in Life Sciences, Data/Analytics, Epidemiology, Public Health or related field.
  • Hands‑on RWD source experience and data product delivery track record.
  • Demonstrated AI/NLP coding capabilities with Claude Code.

Responsibilities

  • Lead end‑to‑end RWD initiatives from scoping to sign‑off with milestones and owners.
  • Identify, pilot, and embed AI/ML tools in RWD workflows and data pipelines.
  • Evaluate external RWD sources and manage vendor assessments and data access governance.
  • Define scalable data products and track KPIs for RWD investments.

Skills

SQL
R
Python

Education

Bachelor's degree (Life Sciences or Data Analytics)
Master’s degree (preferred)

Tools

Databricks
AWS
Claude Code

Job description

Senior Manager, Real-World Data Strategy
Responsibilities
  • Lead end-to-end RWD initiative execution from scoping through stakeholder sign-off with milestones, owners, and risk mitigation.
  • Track interdependent workstreams; surface blockers and elevate solutions. (Note: original text used “escalate with solutions.”)
  • Identify, pilot, and embed AI/ML tools and automation into RWD workflows, data pipelines, and analytical processes.
  • Ensure RWD assets are structured and documented for AI/ML downstream consumption (with engineering and data science).
  • Evaluate and onboard external RWD sources (claims, EHR, registries, labs, PROs); manage vendor assessments, acquisition workflows, and data access governance.
  • Design scalable data products across Research, Development & HEOR; engage internal customers to drive adoption and usability.
  • Define and track KPIs for the impact of RWD investments and data products.
  • Uphold data quality, governance, metadata practices, and compliance requirements; contribute to lineage documentation.
Position Requirements
  • Education: Bachelor’s in Life Sciences, Data/Analytics, Epidemiology, Public Health, or related (required). Master’s (MPH, MBA, Biostatistics, or Data Science) (preferred).
  • Experience: 4–5 years in data/analytics/real-world evidence/consulting (or related); hands‑on RWD source experience; track record delivering data products/analytics solutions; cross-functional matrix experience; demonstrated hands‑on AI‑native proficiency (Claude Code; collaborative AI coding); pre‑interview hands‑on project may be required.
Required Skills
  • SQL; working knowledge of R or Python.
  • Familiarity with data pipelines and cloud environments (e.g., Databricks, AWS).
  • Proficiency with Claude Code and collaborative AI tools for querying, QC automation, and documentation.
  • Understanding of data quality frameworks and governance.
  • Strong execution/delivery, communication, collaboration, and ability to work in ambiguity.
Compensation/Benefits
  • US (Field) starting salary range: $139,200–$168,683.
  • Benefits include health coverage, wellbeing support, and financial protection (401(k), disability, life insurance, etc.).
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