Clinical Data Scientist -RWE Data Analysis Oversight Lead: Inflammation

Gilead Sciences•Parsippany, NJ

About The Position

We are seeking a Clinical Data Scientist -RWE Data Analysis Oversight Lead: Inflammation. This position is responsible for the oversight of timeliness and quality of analysis results supporting the CDS-RWE book of work for the Inflammation therapeutic area (TA). This role reports to the CDS-RWE TA Head and supports the scientific leads in implementing strategies to generate analysis results that deliver on portfolio priorities. Serving as the primary point of contact for study and analysis vendors and service vendors, this role is responsible for planning, execution, and quality acceptance of analysis deliverables. The position requires demonstrated experience in managing complex analytical workflows across multiple programs to generate high-quality analysis results in a GxP compliant programming environment using a broad range of RWD sources. Director level: Shapes TA-level analysis delivery strategy, drives cross-program prioritization, influences development and implementation of standards and analytical capabilities across CDS-RWE, in addition to execution oversight.

Requirements

Bachelor's Degree and Twelve Years’ Experience OR Masters' Degree and Ten Years’ Experience OR PhD and Eight Years’ Experience
5+ years of experience as a data scientist or data analyst in generating analysis deliverables for observational research
MS or more advanced degree in Computer Science, Data Science, Biostatistics, Epidemiology or equivalent preferred, BS degree in Computer Science, Data Science, Biostatistics, Epidemiology or equivalent required
Hands-on training and experience working with both primary data as well as real world data sources using multiple programming tools (e.g., SAS, R) in GxP compliant systems environment
Demonstrated experience in leading and managing work of programmers and data analysts to balance priorities and timelines in a matrixed environment
Proven ability to review programs and analysis outputs for quality, completeness and best practices
Ability to clearly communicate the scope, requirements, expectations and standards for generating analysis deliverables
Ability to communicate and interpret analysis results
Strong problem-solving skills using data driven approaches
Demonstrated ability to collaborate cross-functionally with program, study and functional teams, and vendor resources
Strong written and verbal communication skills

Nice To Haves

Understanding of the RWE regulatory landscape preferred
Experience in working with international data sets and/or Common Data Models (e.g., OMOP) preferred

Responsibilities

Responsible for working with the CDS-RWE TA Head to track, prioritize and manage the execution of analysis deliverables across the TA portfolio
Partner with the CDS-RWE TA Head on data strategy and advanced analytical tools and methods to enable the TA portfolio
Responsible for vendor performance management and escalation of risks impacting the TA portfolio
Responsible for the vendor oversight plans, performance and quality checks, for programming, analysis and other deliverables per the vendor oversight process
Own end-to-end oversight of analysis deliverables, ensuring timely, high-quality completion aligned to TA priorities, with proactive risk identification and mitigation
Partner with the CDS-RWE scientific leads to monitor translation of observational research protocols and analysis requirements into analysis specifications and deliverables by vendors or service providers
Monitor and review the quality of programming and analysis deliverables e.g., specifications, programs, cohorts, feasibility results, analysis results, publications, abstracts, and other outputs
Ensure locking or archiving of programming and analysis deliverables and outputs, as appropriate
Monitor utilization and coordinate assignment of analyses to vendors or service providers
Serve as an escalation point to resolve quality, scope and timeliness issues with vendors and service providers
Maintain regular communication with vendors and service providers to deliver on agreed upon priorities and milestones
Ensure onboarding of vendors and service providers to data analysis tools, programming environments, and access to observational data
Identify and document areas to improve efficiency, e.g., process optimization, increased standardization, etc.
Collaborate with other oversight roles in other TAs for uniformity and consistency
Collaborate with Gilead Data Office on awareness and training for licensed observational datasets