Statistical Programming Manager

Join Us in Tackling Autoimmune Disease at Its Root

At Vor, we believe science can do more than manage symptoms. It can change the course of disease. By advancing telitacicept, a first- and potentially best-in-class dual BAFF/APRIL inhibitor, we are silencing upstream survival signals and stopping downstream autoimmune cascades. Together, we are addressing disease at its root cause and rewriting what is possible for patients worldwide.

When you join Vor, you’re not just working on a medicine. You’re part of a mission to redefine the future of autoimmune care.

Why Work at Vor?

Impact: Contribute directly to a medicine with best-in-disease Phase 3 results in myasthenia gravis and expansion into multiple autoimmune diseases.

Growth: Be part of a rapidly scaling company with opportunities to grow your career in science, clinical development, commercial strategy, and beyond.

Innovation: Work on a platform with potential beyond one indication — a therapy that has already shown consistent results across lupus, IgA nephropathy, and Sjögren’s syndrome.

Belonging: Join a culture where every voice is heard, and where our shared mission unites us across functions and geographies.

Senior Manager, Statistical Programming 

Position Summary 

The Senior Manager, Statistical Programming will provide hands-on statistical programming leadership and support for assigned clinical studies and collaborate with Biostatistics, Clinical Data Management, Clinical Operations, Safety, and other study functions. This role is responsible for the design, development, validation, and quality control of SAS programs used to access, transform, analyze, report, and submit clinical trial data. 

The Senior Manager will serve as lead programmer for assigned studies, provide technical guidance to project teams, and ensure that programming deliverables are accurate, consistent, and completed within established timelines. 

Essential Duties and Responsibilities 

• Serve as lead study programmer and support review of statistical analysis plans, development of mock TFLs, programming dry runs, and production of draft and final TFLs. 

• Develop, validate, and maintain SDTM and ADaM datasets, programming specifications, metadata, and support documentation. 

• Program and validate tables, figures, and listings for efficacy, safety, pharmacokinetic, pharmacodynamic, and clinical outcome assessments. 

• Design and develop efficient SAS programs, macros, and reusable utilities using Base SAS, SAS Macro, SAS/STAT, SAS/GRAPH, and ODS.