Abbott
Abbott
Abbott — диагностика, медициналық құрылғылар, тамақтану және брендтік генерик дәрі-дәрмектер салаларында технологиялар мен өнімдер әзірлейтін жаһандық денсаулық сақтау компаниясы. Оның портфеліне FreeStyle Libre глюкоза мониторингі жүйелері және BinaxNOW жедел антиген тестілері кіреді. Бұл өнімдер қант диабетін басқару, жұқпалы аурулар және тамақтану сияқты бағыттарда пациенттер мен медицина мамандарына қызмет көрсетеді. Abbott сонымен қатар медициналық көмекке қолжетімділікті кеңейтуге, денсаулық сақтау саласындағы теңдікті қолдауға және дұрыс тамақтанбау мен жұқпалы аурулар сияқты мәселелерді шешуге бағытталған. Денсаулық сақтау саласында мансап іздейтін мамандар үшін компания денсаулыққа қатысты көптеген бағыттарда медициналық инновацияларға үлес қосу мүмкіндігін ұсынады.

Staff Scientist, Real-World Evidence and Data Science

Lead real-world evidence and data science research supporting Abbott’s vascular medical device portfolio. Convert healthcare data into insights that inform regulatory, reimbursement, and clinical decisions.

Сипаттама

  • Set and deliver long-term real-world evidence plans for Abbott’s vascular portfolio
  • Turn clinical and economic evidence gaps into practical strategies tied to business priorities
  • Direct real-world evidence, health economics, and digital health study design and delivery
  • Use machine learning, predictive modeling, and advanced phenotyping to derive clinically useful insights from complex healthcare data
  • Set analytic direction and code RWE studies hands-on with SQL, R, SAS, Python, or comparable languages
  • Oversee data preparation, cohort building, variable creation, and analyses across varied data sources
  • Maintain compliance with data governance and privacy standards
  • Review and validate programming logic and provide technical programming oversight
  • Prepare RWE protocols, reports, regulatory submissions, conference materials, and peer-reviewed publications
  • Present study methods and findings to regulatory and reimbursement authorities
  • Coach scientists in dataset selection, study methodology, and communicating results
  • Track evidence, clinical guidelines, competing technologies, and unmet needs in coronary and peripheral vascular care
  • Partner with biostatistics, clinical, regulatory, medical affairs, health economics, and R&D functions
  • Build working relationships with academic investigators, data providers, clinical specialists, and key opinion leaders

Талаптар

  • A master’s degree is preferred; the required educational credential is not expressly specified
  • At least nine years of relevant professional experience
  • Broad command of business principles, procedures, and practices, with the ability to apply them effectively
  • Ability to operate within a quality system and meet applicable government regulations
  • Skill in evaluating complex problems and datasets in depth
  • A PhD, DrPH, MS, or comparable advanced degree in epidemiology, biostatistics, clinical research, public health, outcomes research, biomedical engineering, or a related field is preferred
  • Professional experience in real-world evidence, observational research, outcomes research, or a comparable analytical research function
  • Hands-on work with electronic health records, administrative claims, hospital billing records, registries, or similar large-scale healthcare datasets
  • Strong grounding in observational study design and epidemiological methods
  • Experience writing RWE protocols, analysis plans, or study reports
  • Practical proficiency in SQL, R, SAS, Python, or comparable statistical and analytical languages
  • Experience validating analytical datasets, code, and study results
  • Experience producing study reports, abstracts, presentation decks, and manuscripts
  • Familiarity with regulatory or methodological guidance for RWE and observational research
  • Experience or interest in coronary, peripheral vascular, or related cardiovascular therapeutic areas
  • Ability to coordinate multiple projects or workstreams while meeting deadlines and quality expectations
  • Strong written and verbal communication skills
  • Demonstrated record of publishing scientific manuscripts
  • Experience collaborating within cross-functional teams is preferred

Артықшылықтар

  • Professional growth opportunities within an international organization
  • No-cost medical coverage through the Health Investment Plan (HIP) PPO for eligible employees
  • Retirement savings program offering a substantial employer contribution
  • Tuition reimbursement support
  • Access to the Freedom 2 Save student debt program
  • FreeU education benefit
  • Approximately 10% travel

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