Principal Statistical Analyst

3 days ago

Mumbai, Maharashtra, India beBeeSenior Full time US$ 1,80,000 - US$ 2,10,000

Job Description Summary

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- Ensures that statistical programming and data review reporting activities are executed efficiently with timely and high-quality deliverables.
Acts as a key collaborator and strategic partner in drug-development plans to ensure effective execution.
Complies with project / study standards and specifications following internal and regulatory guidelines.
Oversees programming style, quality of statistical reporting & compliance with timelines.

Key Responsibilities:

  • Leverages expertise in statistical programming to drive development of data analytics reports.
  • Makes informed decisions and proposes strategies at study or project level.
  • Provides supervision and advice on functional expertise and processes to local associates.
  • Builds and maintains effective working relationships with cross-functional teams, able to summarize and discuss status of deliverables and critical aspects (timelines, scope, resource plan).
  • Ensures project-level standardization.
  • Develops innovative programming solutions; ensures knowledge sharing.
  • Acts as an expert in problem-solving aspects.
  • Ensures timely and quality development and validation of datasets and outputs for regulatory submissions/interactions, safety reports, publications, post-marketing activities etc.
  • Leads/co-leads novel projects within the team.
  • Generates ideas within own team and/or project team/functional community.
  • Mentors and inspires others to solve problems.
  • Reports technical complaints/adverse events/special case scenarios related to Novartis products within 24 hours of receipt.

Key Performance Indicators:

  • Achieves a high level of quality, timeliness, cost efficiency, and customer satisfaction across functional activities and deliverables.
  • Adheres to Novartis policy and guidelines.
  • Custome/partner feedback and satisfaction.

Minimum Requirements:
Work Experience:

  • Biostatistics.
  • Clinical Research Phases.
  • R&D Portfolio Management.
  • Statistical Programming.
  • Data Management & Systems.
  • Regulatory Submissions.
  • Innovative & Analytical Technologies.
  • Clinical Trial Design, Data Review & Reporting.

Skills:

  • Classification Systems.
  • Clinical Trials.
  • Computer Data Storage.
  • Computer Programming.
  • Cross-Functional Teams.
  • Data Analysis.
  • Data Structures.
  • Initiative.
  • Programming Languages.
  • Reporting.
  • Statistical Analysis.

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