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Principal stat prog lead

High Wycombe
Johnson & Johnson
Principal
Posted: 29 September
Offer description

Overview

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Biostatistics

Job Category: Scientific/Technology

All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom

Job Description:

The Principal Statistical Programming Lead is a highly experienced Statistical Programmer with expert knowledge of Statistical Programming languages, tools and data structures, proven technical and analytic abilities and strong capabilities in leading Statistical Programming activities and programming teams in accordance to departmental processes and procedures.

This position is accountable for the planning, oversight and delivery of statistical programming activities in support of one or more clinical projects, compounds and/or submissions generally of high complexity/criticality. In addition, this position leads and/or contributes expert knowledge and technical skills to Therapeutic area and/or departmental innovation and process improvement projects.

In this role, the Principal Statistical Programming Lead is responsible for making decisions and recommendations that impact the efficiency, timeliness and quality of deliverables with a high degree of autonomy and provide leadership, direction and technical and project specific guidance to programming teams.

Role and Responsibilities

As Programming Lead

* Accountable for Statistical Programming team delivery for 1 or more clinical projects of high complexity, scope and/or criticality.
* Provides matrix leadership to 1 or more programming teams, coordinating and overseeing programming team activities. May act as a section lead of programming activities supporting a clinical development program, compound or submission.
* Contributes to and applies strategic decisions and recommendations, developing and maintaining detailed programming strategy and plans.
* Provides technical and project specific guidance to programming team members to ensure high quality and on-time deliverables in compliance with departmental processes.

As a highly experienced Statistical Programmer;

* Designs and develops programs and technical solutions in support of highly complex/critical clinical research analysis and reporting activities, including urgent/on-demand analysis request.
* Applies technical and analytical expertise to develop and implement solutions for use on clinical projects leading to increased efficiency and quality.
* Responsible for adoption of new processes & technology on assigned projects/programs in collaboration with departmental Technical groups and statistical programming portfolio leads.

Requirements

* Minimum of a Bachelor’s degree or equivalent in computer science, mathematics, data science/analytics, public health or other relevant scientific field (or equivalent theoretical/technical depth) required. Advanced degree (Master’s, PhD or equivalent) preferred.
* Approximately 8-10+ years programming experience with increasing responsibility OR Masters/MBA in a relevant field and 6-8+ yrs relevant experience OR PhD in a relevant field and 5+ yrs relevant experience. Experience in a pharmaceutical/ clinical trial environment preferred.
* Expert knowledge of data structures and relevant statistical programming languages. May include SAS, R, Python etc. Knowledge of SAS and R preferred.
* Advanced knowledge of statistical programming and industry standard data structures, thorough understanding of end to end clinical trial process and relevant clinical research concepts.
* Working knowledge of relevant regulatory guidelines (e.g. ICH-GCP, 21 CFR Part 11)
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