Senior Scientist, Statistical Programming, Late-Stage Oncology

Jobtailor; New Jersey; On-site; USD 110,000 - 150,000; Full time

Job summary

Jobtailor in New Jersey seeks an experienced Senior SAS Programmer to develop and validate statistical analysis programs for clinical trials, regulatory submissions, and post-marketing support. You will drive data, tables, listings, and figures across therapeutic areas with a focus on quality and scalability.

As the programming lead, you will coordinate global teams, manage project plans, and mentor junior programmers while ensuring compliance with CDISC/ADaM standards and regulatory

Qualifications

• BA/BS in CS, Stats, Life Sciences, Engineering or related field plus 5+ SAS years in a clinical trial environment.
• MS in one of these fields plus 3+ SAS years in clinical trials.
• Effective interpersonal, negotiation, collaboration, written, oral, and presentation skills.
• Experience developing analysis and reporting deliverables for R&D projects.
• Ability to lead projects and collaborate with stakeholders.

Responsibilities

• Develop and validate statistical analysis and reporting programs using global standards.
• Create safety and efficacy analysis datasets, tables, listings, and figures.
• Design and maintain statistical datasets for development, outcomes, and safety.
• Serve as statistical programming point of contact throughout product lifecycle.
• Maintain and manage project plans, including resource forecasting.
• Coordinate global programming teams, including outsourced staff.
• Collaborate with statisticians and project stakeholders to deliver outputs on time.
• Participate on departmental strategic initiative teams.
• Ensure process compliance, deliverable quality, and consistency.
• Direct other programmers' development efforts and provide mentorship.

Skills

SAS Programming

Clinical Trial Programming

Statistical Analysis

CDISC ADaM Standards

Data Management

Analysis Plans

SAS MACRO

SAS GRAPH

Programming Algorithms

Resource Forecasting

Project Management

Education

BA/BS in Computer Science, Statistics, Life Sciences, Engineering or related field

MS in one of these fields plus 3+ SAS years in clinical trials

Tools

Microsoft Project

GenAI Tools

Python

R

R Shiny

Job description

• Develop and validate statistical analysis and reporting programs using global and therapeutic-area standards, departmental SOPs, and good programming practices
• Develop safety and efficacy analysis datasets, tables, listings, and figures for clinical trials, regulatory submissions, and post-marketing support
• Design and maintain statistical datasets supporting clinical development, outcomes research, and safety evaluation stakeholders
• Serve as statistical programming point of contact and knowledge holder throughout the product lifecycle
• Maintain and manage project plans, including resource forecasting
• Coordinate global programming teams, including outsourced provider staff
• Collaborate with statisticians and other project stakeholders to execute plans efficiently and deliver high-quality outputs on time
• Participate on departmental strategic initiative teams
• Ensure programming process compliance, deliverable quality, and consistency across protocols and projects
• Direct other programmers' program development efforts and provide programming mentorship when applicable

Requirements

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field plus at least 5 years of SAS programming experience in a clinical trial environment, OR MS in one of these fields plus at least 3 years of such experience
• Effective interpersonal, negotiation, collaboration, written, oral, and presentation skills
• Experience developing analysis and reporting deliverables for R&D projects, including data, analyses, tables, graphics, and listings
• Ability to lead projects, complete tasks independently at project level, and collaborate with key stakeholders
• Significant expertise in SAS and clinical trial programming, including data steps, procedures, SAS/MACRO, and SAS/GRAPH
• Systems and database expertise
• Ability to design and develop complex programming algorithms
• Ability to comprehend analysis plans and understand statistical terminology and concepts
• Familiarity with clinical data management concepts
• Experience with CDISC and ADaM standards
• Experience ensuring process compliance and deliverable quality
• Ability to translate strategy into tactical activities and design optimized statistical databases
• Ability to anticipate stakeholder requirements
• Preferred: experience with GenAI tools such as Python, R, R Shiny, and Claude
• Preferred: drug or vaccine regulatory application submission experience
• Preferred: experience directing other programmers and mentoring
• Preferred: experience with Microsoft Project or similar package
• Preferred: professional society involvement and process improvement experience
• Ability and interest to work across cultures and geographies
• Oncology experience preferred

Core Competencies

Demonstrates expertise in SAS programming for clinical trials, including the development of statistical analysis datasets and reporting deliverables. Proven ability to lead projects, ensure compliance, and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

• SAS Programming
• Clinical Trial Programming
• Statistical Analysis
• CDISC and ADaM Standards
• Project Management

ATS Optimization Keywords

Hard Skills

• Statistical Analysis
• SAS/MACRO
• SAS/GRAPH
• Programming Algorithms
• Data Management
• Statistical Datasets
• Analysis Plans
• Deliverable Quality
• Resource Forecasting
• Process Compliance

Soft Skills

• Interpersonal Skills
• Collaboration
• Negotiation
• Presentation Skills
• Mentorship

Industry Keywords

• Clinical Trials
• Regulatory Submissions
• Oncology
• Life Sciences
• Outcomes Research

Tools & Technologies

• Microsoft Project
• GenAI Tools
• Python
• R
• R Shiny