Senior Life Sciences Analytics Lead — Regulatory & Data (Remote)

Pharm3r LLC

New York, Northern (NY, KY)

Hybrid

USD 120,000 - 170,000

Full time

11 hours ago
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Job summary

Pharm3r LLC seeks a Senior Technical Business Analyst to bridge data analysis with regulatory insights in life sciences. You will work with leadership on question framing, integrate multi-source datasets, and deliver defensible insights across regulatory, clinical, and supply chain domains.

Remote-friendly, with exposure to both US and international data sources. The role blends hands-on data work with strategic problem framing, offering ownership and opportunity to influence product direction

Qualifications

  • 5+ years as a Business Analyst, Technical Analyst, or Data Analyst in life sciences or regulated domains.
  • Strong analytical skills with hands-on Power BI, SQL; Python or R preferred.
  • Experience with data integration, relational models, and multi-source analytics.

Responsibilities

  • Translate complex business and regulatory questions into structured analytical projects.
  • Explore, integrate, and analyze regulatory, adverse event, and supply chain datasets for drugs and devices.
  • Develop and maintain Power BI dashboards and analytical workflows for internal and client use.
  • Identify relationships across datasets (regulatory actions, adverse outcomes, networks).
  • Ensure outputs are explainable, well-documented, and suitable for regulated contexts.
  • Document data sources, transformations, and limitations for traceability and reuse.
  • Work independently, form hypotheses, test ideas, and communicate findings clearly.

Skills

Power BI
SQL
Python or R
Data integration
Regulated datasets

Job description

Pharm3r LLC seeks a Senior Technical Business Analyst to bridge data analysis with regulatory insights in life sciences. You will work with leadership on question framing, integrate multi-source datasets, and deliver defensible insights across regulatory, clinical, and supply chain domains.

Remote-friendly, with exposure to both US and international data sources. The role blends hands-on data work with strategic problem framing, offering ownership and opportunity to influence product direction

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