Statistical Programmer Consultant
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Before you apply
Salary$80 – $100/hr
LocationRemote
Work moderemote · United States
Typetemporary
SeniorityLead
Experience8+ yrs
DepartmentClinical
Company size201–500 people
PostedOct 16, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor’s or 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)
Comprehensive understanding of CDISC standards and experience generating regulatory package artifacts
Strong communication, analytical, and problem-solving skills
Excellent time management and ability to independently manage multiple high-priority projects
Excellent interpersonal skills and 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
Skills
SAS
CDISC
SDTM
ADaM
Pinnacle 21
define.xml
cSDRG
ADRG
PROC FREQ
PROC REPORT
PROC SQL
PROC MIXED
About the company
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.
About the role
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
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