Associate Director, Statistical Programming
Listed on 2026-08-24
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IT/Tech
Data Scientist, Data Analyst, Data Engineering, Data Science Manager
Working with Us
MBX Biosciences is a clinical-stage biopharmaceutical company headquartered in Carmel, Indiana, with a secondary office in Burlington, MA. Our mission is to transform the lives of people impacted by endocrine and metabolic disorders through our novel precision peptides.
Working with UsMBX Biosciences is a clinical-stage biopharmaceutical company headquartered in Carmel, Indiana, with a secondary office in Burlington, MA. Our mission is to transform the lives of people impacted by endocrine and metabolic disorders through our novel precision peptides. Leveraging our proprietary Precision Endocrine Peptides (PEPs)™ platform, we are pioneering technology designed to overcome key limitations of existing therapies and enhance efficacy, tolerability, safety and convenience.
Our team is advancing a pipeline of novel candidates with clinically validated targets, established endpoints for regulatory approval, and strong market potential. Our pipeline includes canvuparatide (MBX 2109) for the treatment of chronic hypoparathyroidism, currently preparing for Phase 3 development, and a growing obesity portfolio that includes MBX 4291 in Phase 1 development, MBX 5765, a next-generation amycretin prodrug designed for once-monthly dosing, as well as MBX 6180, a GLP/GIP/GCGR triple agonist prodrug for once monthly dosing;
all of which optimize our PEP platform. If you’re passionate about advancing innovative treatments for patients and shaping the future of precision peptide therapeutics, this is your chance to make a real impact alongside a fast-paced, growing, mission-driven team. To learn more, visit our website and follow us on Linked In.
MBX is seeking an Associate Director, Statistical Programming to lead and contribute to statistical programming and analysis of clinical trial data. This role is integral to the design, execution, and interpretation of analyses for clinical trials and related research activities. The Associate Director will ensure the quality and accuracy of statistical deliverables, oversee external vendor performance, and contribute to internal process improvements, including maintaining and expanding SAS macros, R workflows, and clinical data repositories.
WhatYou’ll Do
- Oversee and execute statistical programming deliverables for planned analyses, including study monitoring, data reviews, clinical study reports, data integrations, and rapid responses to regulatory queries across multiple compounds and studies.
- Lead global submission activities, acting as a programming functional and technical expert to support submission strategy planning and regulatory communications; ensure all programming deliverables meet timelines, quality standards, and regulatory expectations (eg, ICH, FDA, EMA).
- Manage CROs and contractors to ensure compliance, high-quality deliverables, adherence to timelines, and budget alignment.
- Develop and validate reproducible, well-documented statistical programs to produce outputs for integrated scientific reports of clinical trial results, ensuring adherence to protocols and Statistical Analysis Plans (SAPs), and regulatory reporting conventions.
- Maintain and enhance the internal SAS macro library and database.
- Provide statistical programming input for SAPs, publications, scientific presentations, regulatory submissions, and promotional materials.
- Review Case Report Forms (CRFs), CRF annotations, SAPs, Table, Listing, and Figure (TLF) shells, TLF outputs, dataset specifications (SDTM and ADaM).
- Serve as a lead for statistical programming within study teams, effectively communicating statistical and programming issues to development teams.
- Contribute to the development of programming standards, macros, SOPs, and process improvements within the Biometrics function
- Other responsibilities as assigned.
- 8+ years of statistical programming experience in the biotech or pharmaceutical industry, with a preference for expertise in endocrine and metabolic disorders.
- Advanced degree (PhD, MS, etc.) in life sciences, biostatistics, mathematics, computer science, or a related field preferred.
- Proficient in SAS programming (e.g., Base SAS, SAS/Stat,…
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