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Sobre esta vaga de Associate Director, Technology & Scientific Computing na Novartis

Novartis · Presencial · Hyderabad (Office)

Job Description Summary

We are seeking an experienced Technical Operations Lead with Pharmaceutical domain expertise and knowledge of R/Python programming/latest technology platforms to support a global pharmaceutical Operations engagement.
This role will act as the primary interface between business stakeholders, biostatisticians, statistical programmers, and technical delivery teams. The candidate will be responsible for translating clinical, statistical, and operational requirements into scalable R-based analytics solutions, automation workflows, and enterprise reporting solutions.
The ideal candidate should demonstrate good domain understanding of clinical trials, ability to manage Operations on varied technology platforms , along with the ability to independently manage initiatives and coordinate cross-functional teams.


 

Job Description

Key Responsibilities

  • Act as the primary interface between cross functional stakeholders, biostatisticians, statistical programmers, and technical teams.
  • Lead requirement gathering workshops and support translating clinical/statistical needs into structured functional and technical specifications.
  • Manage small team with oversight on their work deliverables ensuring productive outcomes.
  • Oversee design and delivery of key releases and ensure end-to-end requirement traceability across development, validation, and deployment phases.
  • Ensure regulatory compliance, audit readiness, and adherence to documentation and governance standards.

Essential Requirements

  • 12-14 years of experience in analytics, statistical programming, or software development. Proven experience in pharmaceutical or clinical research domain engagements with good understanding of clinical trial lifecycle
  • Knowledge of emerging Technologies/Technology platforms and Operations.
  • Team Management experience

 


 

Skills Desired

Analytical Analysis, Data Reporting, Decision Making, Operational Excellence, Operations Handling, Problem Solving, Results-Oriented, Team Management, Waterfall Model
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