Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная роль в data science для здравоохранения в крупной аналитической компании с профильными задачами по моделированию; при этом требования к опыту и зона ответственности для senior-уровня не обозначены.
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Неясный уровеньСовременные инструментыЗдравоохранение и данные
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Consultant - Data Science, Commercial Services Analytics US Dedicated (Healthcare Analytics): Analyzing complex healthcare datasets and developing statistical models to identify drivers, evaluate changing market and clinical conditions, and forecast trends with an accent on machine learning, clustering, segmentation, and time-series analysis. Focus on translating advanced analytics into actionable business insights, designing custom research studies, and communicating findings through reports and presentations.
Location: Lisbon, Portugal
Company
hirify.global provides healthcare analytics, technology, consulting, clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.
What you will do
Analyze and model large, complex healthcare datasets using statistical and quantitative techniques.
Apply mathematical and statistical models to identify key drivers and relationships, evaluate changing market or clinical conditions, and forecast trends and outcomes.
Translate analytical findings into clear, actionable business insights for internal and external stakeholders.
Contribute to custom research studies through analysis, interpretation, and synthesis of results.
Support the development and publication of research findings, reports, and presentations.
Collaborate with researchers, consultants, and technical experts in cross-functional teams to deliver analytics solutions.
Requirements
Bachelor’s degree in Mathematics, Statistics, Data Science, or a related technical or quantitative field.
Working knowledge of analytics and statistical programming tools such as Python or R.
Experience applying machine learning models, clustering and segmentation, and time-series analysis.
Ability to translate complex analytical insights into business-relevant conclusions.
Fluency in English, written and spoken.
Passion for analytics, data-driven problem solving, and research.
Strong written and verbal communication skills, including the ability to present findings clearly.
Nice to have
Interest in healthcare, life sciences, or real-world evidence analytics.
Ability to work in a fast-paced, collaborative, client-focused environment.
Strong attention to detail and commitment to analytical rigor.
Intellectual curiosity and willingness to learn new methods and domains.
Culture & Benefits
Work on meaningful healthcare analytics and research problems.
Collaborate with multidisciplinary professionals and contribute to initiatives focused on improving patient outcomes.
Work in a mission-driven organization focused on healthcare innovation, diversity, inclusion, and belonging.
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