Statistical Programmer Consultant

Kyverna Therapeutics is a patient-centered, clinical-stage biopharmaceutical company developing cell therapies for patients suffering from autoimmune diseases. Guided by our core values, Stay True to Why, Collaborate to Accelerate, Lead with Clarity, Boldly Innovative, and Own the Outcome, we are committed to transforming the future of treatment for autoimmune disease. Join us at the forefront of cell therapy innovation and help redefine what’s possible. Title : Statistical Programmer Consultant Reports to : Director, Statistical Programming Location : Remote (West coast hours preferred) Duration : 6 months Hours : 40/hrs per week Hourly rate : $80-100/hr \n Summary

We are seeking a Statistical Programmer Consultant to independently lead statistical programming activities and provide technical support for assigned clinical trial(s). This role combines study-level leadership, strong knowledge of clinical trial data, direct programming expertise to generate datasets, tables, listings, figures, and regulatory submission deliverables. Responsibilities

Act as the lead programmer for assigned clinical trial(s), and work closely with study statistician, clinical data management, and other functions within the study team to provide expert input and statistical programming support. Lead the strategic design, creation, mapping, and validation of comprehensive SDTM and ADaM datasets, ensuring flawless execution of data traceabilities. Perform statistical analysis, program and validate Tables, Listings, and Figures (TLFs) using SAS to support Clinical Study Reports (CSRs), Development Safety Update Report (DSUR), ad-hoc requests, and publications. Review and ensure high quality of CDISC packages including aCRF, SDTM/ADaM datasets, Pinnacle 21 reports, cSDRG/ADRG, and define XML meeting CDISC standards and regulatory requirements as part of eCTD submission. Perform other duties as assigned. Qualifications

Bachelor’s, Master’s in Statistics, Biostatistics, Computer Science, Mathematics, or a highly related Scientific discipline. 8+ years of statistical programing experience within a bio/pharma company, or clinical research organization (CRO). Advanced proficiency in SAS (including complicated data steps, Macro language, and commonly used analysis procedures (e.g., PROC FREQ, PROC REPORT, PROC SQL, and PROC MIXED). Comprehensive understanding of CDISC standards and experience generating regulatory package artifacts like define.xml and Reviewer's Guides (cSDRG, ADRG). Strong communication, analytical, and problem-solving skills, with excellent time management and the ability to independently manage multiple high-priority projects in a fast-paced environment. Excellent interpersonal skills and the ability to collaborate effectively as part of a cross-functional team. Demonstrated ability to work independently, communicate proactively, and deliver results effectively in a remote work environment \n