Associate Director, Statistical Programming
Dyne Therapeutics
| Company | Dyne Therapeutics |
| Category | Data & Analytics |
| Location | Waltham |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 9 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/ , and follow us on X , LinkedIn and Facebook . Company Overview:
Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities.
Role Summary:
The Associate Director, Statistical Programming is accountable for program-specific and cross-study statistical programming activities, including oversight of vendor programming activities. In collaboration with cross-functional stakeholders, this position contributes to process optimization, innovation, and consistency across studies. This position provides technical leadership for statistical programming activities across multiple studies within a program, including oversight of vendor-related activities and implementation of data standards. In collaboration with cross-functional stakeholders, this role provides technical consultation to study teams and supports alignment of statistical programming resources and capabilities to meet organizational priorities. This role assists the Head of Statistical Programming in contributing to departmental strategies and driving the continuous improvement of departmental procedures, training, standards, and automation initiatives.
This role is based in Waltham, MA.
Primary Responsibilities Include:
Lead and oversee statistical programming activities across multiple clinical trials and studies, ensuring high-quality deliverables, operational consistency, and adherence to timelines
Collaborate with biostatisticians, data managers, clinical operations, vendors, and other cross-functional stakeholders to define programming strategies, priorities, and study requirements
Develop, validate, review, and maintain analysis datasets (CDISC standards), tables, listings, and figures (TLFs) in accordance with regulatory guidelines, internal standards, and submission requirements
Provide technical leadership and oversight for statistical programming deliverables across studies, including consistency of implementation and standards application.
Review statistical analysis plans (SAPs) and provide strategic and operational input to support execution feasibility, cross-study consistency, and regulatory readiness
Perform complex statistical analyses and simulations using SAS and/or R and support advanced analytical and data visualization solutions for clinical trial interpretation and decision-making
Provide expertise in statistical programming for regulatory submissions (e.g., FDA, EMA), including electronic submission standards (eCTD), and oversee submission readiness activities across studies
Coordinate and oversee vendor/FSP statistical programming activities across studies to ensure quality, compliance, and timely delivery
Build, maintain, and promote reusable, software-agnostic tools, macros, and automation solutions to improve efficiency, scalability, and standardization
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