Associate Director, Real-world Analytics - Brentford, United Kingdom - GSK

GSK

Verified Company

Brentford, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Site Name:
USA - Pennsylvania - Philadelphia, GSK House, UK - United Kingdom

Posted Date:
Feb

The Real-World Analytics (RWA) Scientist uses data and methodological expertise to develop study and protocol designs and statistical analysis plans (SAPs) for the analysis of existing complex health data sets, including real-world data (RWD).

This work is conducted in collaboration with Scientists in the Value Evidence and Outcomes (VEO) organization, and other colleagues as part of matrix teams.

These teams work to translate evidence needs into a robust program of studies to support appropriate access to and evidence for GSK medicines.

100% remote-work option for US or UK (CT/ET time zones highly preferred)

Design and Analysis

Manage a portfolio of work or individual studies to ensure delivery of quality work products to agreed timelines.
Share RWD and methodological expertise with asset and therapy area (TA) teams, the broader RWA community, and/or bring that expertise to a matrix team to inform study planning, development, and delivery.
Lead the development and delivery of analysis of existing complex health data sets

Responsibilities include:

author protocol/statistical analysis plan (includes selecting approach to quantitative bias control, statistical power/precision, sample size), write programming code to conduct statistical analysis, critically review approach and results on an ongoing basis considering design assumptions and knowledge of the data, summarize analytic findings (including limitations) in oral or written form.

Author specifications for analytic data sets for all RWA activities (rapid data queries (RDQ), retrospective observational studies, and other studies) to ensure appropriate interpretation and implementation of analytic design, in collaboration with RW Data Management and Programming (RWDMP). Review resulting deliverable(s) for accuracy/completeness.
Ensure documentation is appropriate regarding data manipulation, statistical analysis, reporting.
Author, maintain, finalize, and archive project delivery documentation for insourced studies in accordance with SOPs where appropriate.
Perform quality control (QC) of work products from other colleagues.
Provide RWD and methodological expertise to support study teams in outsourced studies.

Communication of Results

Assist with, or be responsible for, oral and written communication of analytic and study results.
Coauthor and bring statistical/methodological expertise in scientific publications of the in

- or out-sourced RWD studies/analyses.

Effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations.

Therapy Area Knowledge

Leadership and Teamwork

Maintain currency with methods for the use of existing complex health datasets for research.
Develop in depth knowledge on the assigned asset and act as an RWA consultant within broader VEO team.
Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions.
Proactively influence team members regarding appropriate research/statistical design and analytics delivery through various engagement forums: At the Value Evidence Team (VET), as part of a study team (insourced or outsourced), and in coordination with the RWDMP team
Mentor team members, in particular RW Programmers

Basic Qualifications

MS in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics.
1+ years' experience working with realworld data (RWD) for use in pharmacoepidemiology and/or health outcomes research with good practical knowledge of biostatistics applied to clinical/epidemiological research.
Experience and practical knowledge of statistical/analytic software (e.g., SAS, R, IHD).
Fluent in written and spoken English to effectively communicate and able to articulate complex concepts to diverse audiences.

Preferred Qualifications

PhD degree in a quantitative discipline such as epidemiology, health economics, health services research, health informatics, or biostatistics
3 years of experience working with RWD for use in pharmacoepidemiology research with good practical knowledge in biostatistics applied to clinical/epidemiological research.
Excellent problemsolving and analytical skills and enjoy finding efficient and innovative solutions to challenging problems.
Selfreliant with the ability to deliver robust, timely, highquality analytics.
Enthusiastic collaborator and enjoy working on a wide range of projects and requests across multiple TAs.
Ability to work and interact with matrix partners across the organization.
Strong problemsolving skills, ability to address conflicts/issues and make decisions to achieve results.
Ability to w