Volunteer / Part-Time Community Contributor at Hill Research Volunteer / Part-Time Community Contributor at Hill Research in Skillman, New Jersey Posted in about 16 hours ago.

Type:

volunteer Volunteer / Part-Time Community Contributor - Biostatistics & Statistical Programming ???? Remote | Flexible ???? Hill Research | TriClick™ ???? Clinical AI

• Biostatistics

• Statistical Programming About the Opportunity Hill Research is looking for a small group of Biostatisticians, Statistical Programmers, and Clinical Data Scientists who are curious about AI and want to help us test, challenge, and improve TriClick™ , our AI platform for Clinical Biometrics. TriClick is being built to connect clinical biometrics workflows across: Raw Data ? SDTM ? ADaM ? TFL ? QC / Review We believe the best clinical AI products should be shaped not only by AI engineers, but by the professionals who actually perform and review this work every day. What You'll Do As a Community Contributor, you will: Get complimentary access to TriClick Test TriClick using synthetic, public, or appropriately de-identified datasets Evaluate SDTM, ADaM, TFL, QC, and review workflows Assess output accuracy, traceability, reproducibility, and usability Identify areas where human statistical/programming judgment remains essential Find workflows or features that don't work well - and tell us why Provide candid feedback on what would be required for real-world, regulatory-ready use You may also share your experience on or other professional communities, but public posting is completely optional . We value authentic feedback, not promotion. Who We're Looking For You may be a good fit if you have experience or training in: Biostatistics SAS / R statistical programming

CDISC SDTM

/ ADaM TFL development Clinical data science or clinical data management Clinical trial statistical analysis Biometrics QC or regulatory submission workflows Industry experience is valuable, but we also welcome graduate students, early-career professionals, and experienced practitioners who have relevant technical knowledge and genuine curiosity about AI. Important Data Requirement Testing must use synthetic, public, or appropriately de-identified data only . Contributors should never upload patient-identifiable information, confidential employer/client information, or unauthorized clinical study materials. Why Join? This isn't about telling us that AI is amazing. We want people willing to ask harder questions: Does it actually save time? Is it accurate? Can I trace and reproduce the results? Would I trust this in a real clinical workflow? Good feedback, bad feedback, bugs, frustrations, and unexpected successes are all valuable. If you're interested in exploring where AI can - and cannot yet - improve Clinical Biometrics, we'd love to have you involved. Interested? Apply through or DM me directly.