Manager, Statistical Programming (m/f)d)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Manager, Statistical Programming (m/f)d) Job Location (Country/Region) At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. The Position The purpose of this role is to lead and contribute to statistical programming activities across SDTM, ADaM, and Tables, Listings, and Figures (TLFs), providing both technical oversight and hands-on support for the development, validation, and programmatic review of datasets and outputs. This role ensures the quality, consistency, and timeliness of deliverables supporting oncology regulatory submissions by guiding programming strategies, reviewing key outputs, and driving issue resolution. In addition, this position fosters and maintains institutional knowledge across oncology compounds, while supporting the development, standardization, and continuous improvement of programming processes and best practices for datasets and TLFs to enhance efficiency, quality, and compliance. Roles and Responsibilities Lead and Execute Statistical Programming Develop and validate datasets and Tables, Listings, and Figures (TLFs)

Read the full description at careers.daiichisankyo.com. FewerJobs shows a preview and links to the original posting.