9 дней назад
Manager, Statistics (AI)
109 500 - 208 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Statistics (AI): Designing, analyzing, and reporting clinical trials and scientific research studies with an accent on statistical methodology, reproducible R programming, and regulated pharmaceutical research. Focus on developing AI-enabled analytical workflows, validating production-grade statistical software, and communicating scientifically sound findings across cross-functional teams.
Location: North Chicago, Illinois, United States
Salary: $109,500–$208,500 per year
Company
develops medicines and healthcare solutions in areas including immunology, oncology, neuroscience, and aesthetics.
What you will do
- Design, analyze, and report clinical trials and other scientific research studies.
- Develop protocols, statistical analysis plans, safety analysis plans, and programming specifications.
- Perform statistical analyses, identify study and data issues, and collaborate with Statistical Programming and Data Science.
- Develop data presentation and inference strategies and support accurate scientific reports, publications, tables, listings, and figures.
- Build reusable, tested, and documented statistical analysis code, templates, benchmark test sets, and quality-control assets.
- Design AI-enabled analytical workflows and deliver production-grade solutions, including R/Shiny interfaces, documentation, training, and knowledge transfer.
Requirements
- MS in Statistics, Biostatistics, or a related field with 6+ years of experience, or PhD with 2+ years of experience.
- Strong technical, statistical computation, simulation, communication, and problem-solving skills.
- Experience identifying data and analytical issues and developing scientifically sound solutions.
- Ability to collaborate with cross-functional and product teams and explain statistical concepts to non-statisticians.
- Pharmaceutical or related industry knowledge, including drug development and lifecycle management in a regulated environment, is desired.
- Advanced R programming, validated analytical software, Shiny applications, GxP practices, and experience with AI or machine learning methods are relevant to the role.
Culture & Benefits
- Cross-functional collaboration across research, development, data science, programming, and medical affairs.
- Paid time off, vacation and sick leave, and medical, dental, and vision insurance for eligible employees.
- 401(k) and eligibility for long-term incentive programs.
- Equal opportunity employment with reasonable accommodation support for applicants.
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