Jobs at Premier Research

Reviews contracts, payment schedules, budgets, and hours; prepares invoices and revenue calculations; tracks project profitability, backlog, cash flow, and payment schedules; analyzes change orders and supports Project and Finance Managers with project-related reporting and analysis.

Reviews contracts, budgets, payment schedules, and change orders; prepares invoices, revenue calculations, cash-flow analyses, and monthly project backlog reports. Supports project managers with profitability tracking and financial analysis for clinical research projects. Maintains financial system setup and tracking worksheets, attends project meetings, and responds to project-related questions. Requires accounting or finance experience within a CRO, revenue recognition system expertise, strong Excel skills, and excellent organizational and communication abilities.

Develops and tests clinical trial databases in Rave EDC, including eCRFs, data-entry screens, field derivations, edit checks, screen flows, validation programs, and data extraction. Collaborates with data management teams, statisticians, project managers, and sponsors to define technical data-management requirements. Maintains database documentation and Trial Master File records, performs system testing and quality control, and supports clinical research, drug, and device development projects.

Leads innovation in statistical programming across biotech, medtech, and pharmaceutical projects. Defines technical roadmaps, evaluates AI-assisted tools, modernizes SAS workflows with R and Python, develops reusable tools and automated pipelines, and guides R Shiny application architecture and deployment. Manages and mentors programming staff while advancing standards, efficiency, reproducibility, quality, and regulatory compliance.

Directs innovation in statistical programming for pharmaceutical and biotech research. Establishes technical roadmaps, modernizes SAS workflows with R and Python, evaluates AI-assisted tools, builds reusable programming assets and R Shiny applications, and leads migration and deployment efforts. Manages and mentors statistical programmers while promoting technical excellence, automation, reproducibility, quality, and regulatory compliance.

Leads innovation in statistical programming by defining technical roadmaps, implementing AI-assisted and automated R/Python pipelines, modernizing SAS workflows, and developing reusable tools and R Shiny applications. Establishes application architecture and deployment standards, while supervising, mentoring, and developing programming staff across traditional and modern technologies in CRO and pharmaceutical environments.

Administer and support finance systems (Workday, OneStream), manage support tickets, document and validate end-to-end data flows and integrations, develop report specifications, assist UAT and month-end close troubleshooting, and collaborate with stakeholders to drive automation, process improvements, and governance of finance reporting.

Design, develop, test, and maintain scalable R Shiny applications for clinical trial data review, visualization, QC, and reporting. Build reusable modules, programming utilities (R, SAS, Python), integrate with cloud storage, validate to regulatory standards (GxP/FDA/EMA), optimize performance, execute testing, and provide technical consultation to study teams.

Design, develop, test, and maintain scalable R Shiny applications supporting clinical trial analysis, visualization, and reporting. Integrate Shiny apps with cloud storage, build reusable modules and programming utilities (R, SAS, Python), validate software to regulatory standards (GxP/FDA/EMA), execute testing, and provide technical consultation to support study teams and project deliverables (ADaM, TLFs, SDTM).

Design, develop, test, and maintain scalable R Shiny applications and reusable programming utilities (R, SAS, Python) to support clinical data review, visualization, QC, and regulatory-compliant reporting. Optimize performance, validate per GxP/FDA/EMA, build testing suites, consult on R/Shiny solutions, and support study programming deliverables.

Design, develop, test, and maintain scalable R Shiny applications and reusable utilities for clinical data analysis (SDTM/ADaM). Optimize performance, validate to GxP/FDA/EMA standards, integrate cloud data sources, implement testing, and support study teams with programming and reporting deliverables.

Design, develop, test, and maintain scalable R Shiny applications and reusable programming utilities (R, SAS, Python) for clinical data review, visualization, QC, and regulatory-compliant reporting. Optimize performance and scalability, integrate cloud data sources, validate applications to GxP/FDA/EMA standards, execute application testing, and support study teams with programming deliverables (ADaM, TLFs). Provide technical consultation and contribute to open-source R/Shiny projects.

Design, build, test, and maintain scalable R Shiny applications and reusable programming utilities (R/SAS/Python) for clinical data review, visualization, QC, and reporting. Ensure applications meet GxP/CSA and regulatory standards, optimize performance for many users, develop testing suites, and provide technical consultation and programming support to study teams.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

Conduct centralized clinical trial data reviews to assess data quality, patient safety, site performance, and study risks. Develop risk analytics monitoring plans, identify and escalate issues, recommend corrective actions, guide site monitors, and present monitoring findings to internal and sponsor teams. The role requires clinical research experience, data analysis skills, knowledge of ICH/GCP and regulatory guidance, and strong communication and delivery capabilities.

Manage full trial budget lifecycle and proposal pricing for CRO services: cost analysis, budget development (OOP and FTE), change orders, stakeholder coordination, resource fee preparation, and proposal production. Interface with project and contract teams, provide pricing guidance, and support process improvements and lessons-learned.

Lead statistician for complex clinical studies from protocol/SAP planning through reporting; develop sample size, modeling, adaptive/Bayesian designs; oversee statistical deliverables (SAPs, randomization, CSR contributions), advise on regulatory strategy, manage biostatistics projects and budgets, support BD and DSMB/DMC activities. Travel ~20%.

Lead statistical strategies for complex client studies, ensuring effective communication and innovative statistical analysis in clinical trials.

Manages clinical data management activities from study startup through database release and closeout. Responsibilities include applying data standards, developing database designs, CRFs, edit checks, data review listings, risk-based monitoring setup, resolving data issues, maintaining documentation, ensuring SOP compliance, and coordinating cross-functional teams to deliver quality, timely results.

Manages clinical data management activities across studies, including data standards, management plans, database and CRF design, edit checks, data review, risk-based monitoring setup, issue resolution, documentation, and database release. Collaborates with cross-functional teams to ensure data quality, compliance with SOPs, timely deliverables, and successful study milestones.