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10 дней назад

Senior Manager, Real-World Data and Analytics (HEOR) (Oncology)

150 500 - 245 500$
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 Manager, Real-World Data and Analytics (HEOR) (Oncology) (RWD/RWE, SAS, R): Generating oncology real-world evidence by analyzing administrative claims, electronic health records, and other real-world data with an accent on query, protocol, and statistical analysis plan development. Focus on hands-on programming, survival analysis, propensity score methods, machine learning, quality control, and translating analytical findings into scientific communications.

Location: Sleepy Hollow, New York; onsite expectations apply

Salary: $150,500–$245,500 annually

Company

hirify.global develops science-driven medicines intended to improve outcomes for people with serious diseases.

What you will do

  • Develop real-world evidence queries, protocols, and statistical analysis plans for oncology research.
  • Analyze internal real-world data assets and deliver data-driven insights to project teams.
  • Perform hands-on programming and quality control of analytical code.
  • Evaluate real-world data sources, including claims and electronic health records, for research questions.
  • Contribute to abstracts, posters, manuscripts, and internal scientific presentations.
  • Coordinate activities with external analytics vendors and research partners.

Requirements

  • Doctoral degree in a quantitative healthcare data field with 2+ years of hands-on programming experience, or a related master's degree with 4+ years of experience.
  • Hands-on experience with large-scale administrative claims data and electronic health records.
  • Experience in oncology research and oncology-specific real-world data.
  • Advanced programming skills in SAS and R.
  • Knowledge of survival analysis, propensity score methods, generalized linear models, and machine learning applied to real-world data.
  • Excellent written and verbal communication skills.

Culture & Benefits

  • Science-driven organization focused on developing life-changing medicines.
  • Inclusive workplace and equal employment opportunity practices.
  • Benefits may include bonuses, equity awards, retirement benefits, 401(k) matching, health insurance, paid time off, and family support.
  • Reasonable accommodations are available during recruitment where required.

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