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GS
Gilead Sciences
Clinical Data Scientist -RWE Data Analysis Oversight Lead: Inflammation
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What they do
A Clinical Supervisor or Manager supervises staff and manages services in a clinical program. May provide clinical supervision for nursing, counseling or home health care staff. Works to ensure quality patient care. Trains and develops clinical staff and manages clinical program budgets.
$119,617 / year median in New Jersey
+8% projected growth
Job Description
At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer
- working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe.
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 theCDS-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.Key Responsibilities:
Responsible for working with theCDS-RWE TA
Head to track, prioritize and manage the execution of analysis deliverables across the TA portfolio Partner with theCDS-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 datasetsMinimum Required Education and Years of Experience Bachelor's Degree and Twelve Years' Experience OR Masters' Degree and Ten Years' Experience OR PhD and Eight Years' Experience Preferred Qualifications:
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 Understanding of the RWE regulatory landscape preferred Experience in working with international data sets and/or Common Data Models (e.g., OMOP) preferredPeople Leader Accountabilities:
Create Inclusion- knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent
- understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop and realize their purpose. Empower Teams
- connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account.
Other US Locations:
$205,615.00- $266,090.
Bay Area:
$226,185.00- $292,710.
- . For additional benefits information, visit: https://www.gilead.com/careers/compensation-benefits-and-wellbeing
- Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.