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Sr. Scientist Stat Programming, Late-Stage Development; Hybrid
Job in
Pittsburgh, Allegheny County, Pennsylvania, 15289, USA
Listed on 2026-06-18
Listing for:
Scorpion Therapeutics
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Mining
Job Description & How to Apply Below
Responsibilities:
- Support statistical programming activities for late-stage drug/vaccine clinical development projects; may lead one or more projects.
- Develop and execute statistical analysis and reporting deliverables (safety/efficacy analysis datasets, tables, listings, figures) spanning trials through worldwide regulatory submissions and post‑marketing support.
- Design and maintain statistical datasets supporting multiple stakeholder groups (clinical development, outcomes research, safety evaluation).
- Collaborate with statistics and project stakeholders to ensure timely, high-quality deliverables.
- Serve as statistical programming point of contact and knowledge holder through the product lifecycle.
- Develop, validate, and implement analysis/report programming using global/TA standards, departmental SOPs, and good programming practices.
- Maintain and manage project plan, including resource forecasting.
- Coordinate activities of a global programming team (including outsource provider staff).
- Participate in departmental strategic initiative teams.
- BA/BS plus 5+ years SAS programming experience in a clinical trial environment.
- MS plus 3+ years SAS programming experience in a clinical trial environment.
- Interpersonal, negotiation, collaboration; strong written/oral/presentation skills.
- Experience creating R&D analysis/reporting deliverables (data, analyses, tables, graphics, listings).
- Ability to independently complete project-level tasks and collaborate with stakeholders.
- SAS clinical trial programming expertise (data steps, procedures, SAS/MACRO, SAS/GRAPH) and systems/database expertise.
- Ability to design complex programming algorithms; understand analysis plans and statistical terminology.
- Familiarity with clinical data management; experience with CDISC and ADaM standards.
- Ensure process compliance and deliverable quality; strategic thinking and stakeholder requirement anticipation.
- R programming for statistical modeling/analysis/visualization.
- Regulatory application submission experience (including electronic submission deliverables).
- Program consistency across protocols/projects; mentorship; cross‑cultural/geographic teamwork.
- Experience using global outsource partner staff;
Microsoft Project (or similar) for planning. - Process improvement; active professional society involvement.
Apply via (deadline stated on posting).
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