Manager, Statistical Programming
US - TX - offsite
Full Time Mid-level / Intermediate USD 130K - 168K
Gilead Sciences
Gilead Sciences, Inc. is a research-based biopharmaceutical company focused on the discovery, development, and commercialization of innovative medicines.For Current Gilead Employees and Contractors:
Please log onto your Internal Career Site to apply for this job.
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. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.
Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact.
We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together.
Job Description
Manager, Statistical Programming
Primarily responsible for the business, operational, and compliance aspects of drug discovery, development, and marketed products at Gilead.
Statistical Programming– Analysis Programming: Statistical programmers work collaboratively with internal colleagues and external vendors to ensure the efficient, high-quality production of analysis datasets and statistical outputs for study reports and integrated summaries in support of Gilead’s regulatory, scientific and business objectives.
- May be a mentor for junior employees
- Acts as lead programmer for multiple studies.
- Participates in SMT (Study Management Team) meeting as a representative of Programming group.
- May serves as project leader.
- Successfully interacts within Clinical Data Science, with Clinical Development and Regulatory Affairs groups on a frequent basis.
- Generates or oversees the production of statistical output (e.g., tables, listings) for study reports and integrated summaries.
- Actively share experience and discuss possible process enhancements at programming meetings.
- Recommends potential trainings.
- A promotion from this position may be recognition for sustained performance and high potential.
- Demonstrates strong project management skills including ability to anticipate time, resources and staffing required to successfully complete multiple studies.
- Attend a conference or class related to SAS, eCTD, CDISC, project management training
- Application Development, Data Management, Biostatistics
- Works collaboratively with Clinical Development staff to meet project deliverables and timelines for statistical data analysis and reporting.
- Generates or oversees the production of programming deliverables (e.g., tables, listings) for study reports and integrated summaries.
- Ensures programming and corresponding documentation is completed in a manner that is consistent with departmental procedures.
- Is responsible for all programming activities within a therapeutic project or equivalent.
- Implements strategic initiatives.
- Must be able to lead and manage multiple concurrent projects.
- Excellent verbal and written communication skills and interpersonal skills are required.
- Has a thorough understanding of clinical trials design and reporting process, as well as regulatory reporting requirements including electronic data submissions.
- Has the ability to resolve study related issues and conflicts within a therapeutic project.
- Can create buy-in and support and has the ability to negotiate timelines.
- 7 years of experience and a BS degree in Biostatistics/Computer Science or equivalent.
- 3 years of experience and a MS degree in Biostatistics/Computer Science or equivalent.
- 2 year of experience and a PhD degree in Biostatistics/Computer Sciences or equivalent.
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.
For jobs in the United States:
As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations@gilead.com for assistance.
For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.
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Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
For Current Gilead Employees and Contractors:
Please log onto your Internal Career Site to apply for this job.
Tags: Biostatistics Computer Science Data analysis Data management Drug discovery PhD SAS Statistics
Perks/benefits: Career development Health care Insurance Medical leave Salary bonus Transparency
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