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1 день назад

Senior Data Scientist, RBQM Analytics (Machine Learning)

109 500 - 208 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist, RBQM Analytics (Machine Learning and Clinical Research): Developing advanced analytics, statistical models, machine learning prototypes, and visual analytics to support clinical development and precision medicine with an accent on data-driven insights, clinical trial evaluation, and risk-based quality management. Focus on designing analytical standards, validating assumptions, predicting future behavior, and mentoring junior team members.

Location: North Chicago, Illinois, United States; onsite

Salary: $109,500–$208,500 annual base pay

Company

AbbVie develops innovative medicines and solutions for serious health issues across immunology, oncology, neuroscience, and aesthetics.

What you will do

  • Develop advanced analytics, machine learning, statistical methods, algorithms, and visual analytics for clinical development.
  • Generate data-driven insights for complex R&D business problems, including precision medicine and clinical trial evaluation.
  • Consult with cross-functional teams to design analytical work products and identify solutions affecting timelines and quality.
  • Establish analytical design principles and standards across projects while optimizing user experience.
  • Define business needs and support standard KPIs, reports, and statistical analyses.
  • Coach and mentor junior team members while ensuring compliance with GCPs, ICH Guidelines, regulations, SOPs, and quality standards.

Requirements

  • Bachelor’s degree in statistics, analytics, bioinformatics, data science, or an equivalent field; a master’s degree is preferred.
  • 3–5 years of analytics-related experience in clinical research with demonstrated analytics and leadership competencies.
  • Advanced proficiency in R, Python, SQL, or other statistical packages.
  • Intermediate knowledge of statistical and data-mining techniques and expert proficiency with Spotfire, Tableau, MicroStrategy, or equivalent visualization tools.
  • Expertise in machine learning and advanced analytics, plus strong communication, problem-solving, and analytical skills.
  • Ability to execute successfully in a fast-paced environment and manage multiple priorities.

Nice to have

  • Experience working in cloud computing environments such as AWS or Azure.
  • Master’s degree in a relevant field.

Culture & Benefits

  • Paid time off, including vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) benefits for eligible employees.
  • Eligibility to participate in long-term incentive programs.
  • Equal opportunity employment with a focus on integrity, innovation, and community service.

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