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Associate Director, Statistical Programming

Boston, MA

Description of Role

The Associate Director, Statistical Programming will provide strategic and technical leadership for statistical programming activities across one or more therapeutic areas. This role will establish and maintain statistical reporting standards, drive efficient and high quality programming processes, ensure compliance with CDISC and regulatory requirements, and support clinical development planning and execution across multiple indications at Centessa.

Key Responsibilities

  • Lead statistical programming activities in a team based environment while aligning deliverables with business priorities, study objectives, and program timelines.
  • Collaborate with cross functional teams on clinical study planning and execution to ensure accurate, consistent, and timely data reporting. Ensure quality and timeliness of statistical analysis, reporting, and regulatory submission deliverables.
  • Demonstrate strong technical expertise to promote best practices related to programming environments, technology and programming skillsets.
  • Establish and maintain  efficient resource management and planning in support of business priorities.
  • Manage and mentor statistical programming and data analytics team members by providing guidance, training, performance feedback, and technical oversight. Ensure compliance with CDISC standards and regulatory requirements in support of  regulatory submission and inspection readiness.
  • Manage and collaborate with Contract Research Organizations (CROs), providing oversight of programming activities, ensuring adherence to project timelines and quality expectations. 

Qualifications

  • Master’s degree in Statistics, Mathematics, Computer Science, or a related discipline, with a minimum of 10+ years of SAS programming experience in a pharmaceutical, biotech, or CRO setting; or
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related discipline, with a minimum of 15+ years of SAS programming experience in a pharmaceutical, biotech, or CRO setting.
  • Experience across both early and late phase/registrational trials.
  • Strong experience with reporting processes, regulatory requirements, and the software development life cycle.
  • Expertise in SAS programming; knowledge of R or Python is a plus.
  • Hands on experience with CDISC standards, including SDTM and ADaM, and programming using raw data from different EDC and eCOA sources.
  • Strong written and verbal communication skills.
  • Ability to work effectively in a cross functional, matrixed environment and proactively influence teams.
  • Demonstrated leadership experience, including the ability to collaborate with peers, oversee and guide colleagues, and drive meaningful business impact. 

Compensation 

The annual base salary range for this position is $166,000.00 to $242,000.00. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, job knowledge and location.  

In addition to base pay, this role is eligible for a discretionary annual bonus. The Company also offers a comprehensive benefits package, which includes a 401(k) plan, company sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. 

Work Location

The Associate Director, Statistical Programming is a remote role based in the US, with infrequent (<10%) travel to our headquarters in Boston, MA.

POSITION: Full-Time, Exempt

EEOC Statement: Centessa Pharmaceuticals, a wholly owned subdisary of Eli Lilly and Company believes in a diverse environment and is committed to equal employment opportunity for all its employees and qualified applicants. We do not discriminate in recruitment, hiring, training, promotion, or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. We will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

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