Associate Director Biostatistics

Role Summary

Onsite in East Hanover, New Jersey. Biostatisticians support 200+ compounds across 10+ sites, transforming clinical data into analyses that inform the development of innovative drugs. You will influence decision-making in cross-functional, international teams from early to late-phase drug development, leading modern trial designs, statistical models, analysis, and data exploration at the study or project level, and be responsible for all statistical work in collaboration with clinical trial teams and other quantitative partners.

Responsibilities

• Accountable for strategic statistical input and influence into one or more studies or projects.
• Plan and execute exploratory analyses and statistical consultation within cross-functional teams.
• Lead development and implementation of innovation in statistical methodology and trial design.
• Lead collaborations with medical and other strategic functions to drive quantitative decision making in drug development and enable robust development plans.
• Propose and implement innovative designs and methods to optimize drug development.
• Plan, prioritize and oversee study-level activities and ensure efficient resource management within or across franchises, with effective partnerships with vendors.
• Foster effective partnerships with other functions to ensure integrated quantitative input into projects.
• Develop and mentor biostatisticians.

Qualifications

• Required: PhD with 6+ years of experience, or MS with 10+ years of experience in Statistics, Mathematics, or equivalent; advanced knowledge of applying statistics and innovative approaches across multiple statistical areas; ability to influence decisions impacting project and department objectives; track record of implementing novel methods in drug development; strong interpersonal and communication skills bridging scientific and business needs.
• Preferred: Prior experience with drug development needs and activities.

Skills

• Statistical modeling and innovative trial design
• Exploratory data analysis and statistical consultation
• Cross-functional collaboration and stakeholder influence
• Mentoring and developing junior biostatisticians