Manager, Statistics - Oncology (Hybrid)

AbbVie•South San Francisco, CA
•$109,500 - $208,500•Hybrid

About The Position

The Manager, Statistics provides statistical expertise to support AbbVie’s research and development organization. Work may include clinical trials, patient safety, and global medical affairs. The Manager works independently and in partnership with experts across multiple disciplines to advance medicines to patients. The role contributes statistical expertise to the design, analysis, and reporting of clinical trials and other scientific research studies, including protocol and statistical analysis plan development, implementation of appropriate methods, and analysis and presentation of results. It also involves identifying data issues, collaborating with Data Science and Statistical Programming, and ensuring the scientific accuracy and consistency of reports and publications. The Manager works collaboratively with multifunctional teams, communicates statistical concepts to non-statisticians, supports product-team communications with functional management, and builds cross-functional relationships. The position is hybrid.

Requirements

  • MS in Statistics, Biostatistics, or a highly related field, with 6 or more years of experience; or PhD in one of these fields, with 2 or more years of experience.
  • Experience performing statistical computations and simulations.
  • High degree of technical competence and effective oral and written communication skills.
  • Ability to identify data or analytical issues and help provide solutions by applying own skills and knowledge or seeking help from others.
  • Ability to build strong relationships with peers and cross-functional partners to achieve higher performance.
  • Motivation to drive innovation by raising the bar and challenging the status quo.

Nice To Haves

  • Pharmaceutical or related industry knowledge, including experience and understanding of drug development and life-cycle management in a regulated environment.
  • Oncology experience.

Responsibilities

  • Provide expertise in the design, analysis, and reporting of clinical trials or other scientific research studies.
  • Independently develop protocols and statistical analysis plans with details for programming implementation.
  • Implement sound statistical methodology in scientific investigations.
  • Identify scientifically appropriate data collection instruments.
  • Identify and report data issues or violations of study assumptions.
  • Provide programming specifications for derived variables and analysis datasets.
  • Partner with Data Science in preparing for database lock.
  • Independently perform statistical analyses according to the analysis plan.
  • Collaborate with Statistical Programming to deliver high-quality outputs within agreed timelines.
  • Identify and anticipate issues arising in study design and conduct, and propose scientifically sound approaches.
  • Evaluate software for planned analyses and assess needs for developing novel statistical methodology.
  • Develop strategies for data presentation and inference.
  • Collaborate in publication of scientific research.
  • Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures.
  • Ensure study results and conclusions are scientifically sound, clearly presented, and consistent with the statistical analyses.
  • Work collaboratively with multifunctional teams and explain statistical concepts clearly to non-statisticians.
  • Respond to questions and pursue analyses suggested by data.
  • Support communications between assigned product teams and functional management.
  • Build and drive cross-functional relationships and collaboration.

Benefits

  • Paid time off, including vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) for eligible employees.
  • Eligibility to participate in long-term incentive programs.
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