Associate Director, Translational Data Science – Hematology R&d

AstraZeneca

South San Francisco, California, United States
Base: $135,058.40 - $202,587.60 usd annually; bonu...
Hybrid
Hematology r&d
Clinical trial data standards
Adam and sdtm formats
AstraZeneca is seeking an Associate Director for Translational Data Science in Hematology R&D, based in South San Francisco, California. The role involves leading data initiatives, collaborating across functions, and mentoring junior colleagues, with a strong emphasis on clinical data analysis and the development of analytical methods

Job Summary

  • AstraZeneca's Translational Data Science, Haematology R&D team is seeking an Associate Director passionate about driving strategic insights from sophisticated clinical and molecular data to support our hematology therapeutic portfolio.
  • As an individual contributor you will be a hands-on data science expert, responsible for developing reproducible analytical methods and data products.
  • Our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Associate Director for Translational Data Science in Hematology R&D, based in South San Francisco, California. The role involves leading data initiatives, collaborating across functions, and mentoring junior colleagues, with a strong emphasis on clinical data analysis and the development of analytical methods.

Salary

Base: $135,058.40 - $202,587.60 USD Annually; Bonus/Equity: Eligibility for short-term incentive bonuses and equity-based awards; Benefits: Qualified retirement programs, paid time off, health, dental, and vision coverage

Skills & Requirements

Must-have

  • Hematology R&D
  • clinical trial data standards
  • ADaM and SDTM formats
  • R, Python, and SAS programming
  • AI/ML methods
  • GCP-compliant practices

Nice-to-have

  • entrepreneurial and collaborative spirit
  • individualized flexibility
  • sustainability dedication
  • high-impact publications
  • open-source contributions

Key Requirements

  • Advanced degree (PhD preferred) in quantitative field
  • 6+ years experience (PhD) or 8+ years (Master's)
  • Experience with clinical trial datasets
  • Experience with hematologic malignancies data
  • Experience mentoring data scientists

Work Rights

Not specified

Tailored Resume

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