Manager, Statistics

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About the role

The Manager, Statistics provides statistical expertise to support the research and development organization. Specific areas of work may include clinical trials, patient safety, and global medical affairs. The Manager works independently in partnership with experts in multiple disciplines to advance medicines to our patients. Responsibilities: • Provide expertise to design, analysis and reporting of clinical trials or other scientific research studies. Independently develop protocols and/or statistical analysis plans (or product safety analysis plans/integrated summary of safety analysis plans/analysis plans for GMA evidence generation) 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 as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Identify and anticipate issues arising in the study design, conduct and propose scientifically sound approaches. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology. • Develop strategy 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 that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided. • Work collaboratively with multifunction teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions, and pursue analyses suggested by data. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration. Minimum Qualifications: • PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field. • Proficiency in SAS, R, and/or Python, with demonstrated expertise in developing, validating, and implementing complex statistical analyses and simulation studies. • Experience supporting clinical development programs, including clinical trial design and statistical analysis planning. • Ability to independently lead statistical activities for one or more studies and effectively communicate statistical concepts and results to cross-functional stakeholders. • Experience in the pharmaceutical, biotechnology, or healthcare industry. Preferred Qualifications: • Immunology clinical trial experience Other Required Skills: • High degree of technical competence and effective communication skills, both oral and written • Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others • Able to build strong relationship with peers and cross-functional partners to achieve higher performance. • Highly motivated to drive innovation by raising the bar and challenging the status quo **This is a hybrid based role working onsite T-TH. Candidates must be local to Lake County, IL Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job gr

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