Data Analyst (Medtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Medtech): Developing research-grade data sets and conducting statistical analyses to support oncology clients in the life sciences sector with an accent on data modeling and quality monitoring. Focus on optimizing data product delivery, interpreting complex statistical results, and improving internal process metadata.
Location: Hybrid (must be based in Durham, USA)
Salary: $79,200 - $108,375
Company
is a health-tech company focused on reimagining cancer care infrastructure through a connected oncology ecosystem.
What you will do
- Develop data models and build research-grade data sets for life sciences clients.
- Collaborate with product managers, engineers, and oncologists to create real-world data products.
- Monitor data quality and investigate issues to ensure research-grade standards.
- Perform and present ad-hoc statistical analyses for customers and internal stakeholders.
- Optimize project execution and process improvements for custom solutions.
- Analyze internal process metadata to provide actionable insights for business leaders.
Requirements
- BS or MS in a technical field (Data Science, CS, Math, Statistics, etc.).
- 1-3 years of relevant experience.
- Proficiency in SQL and R.
- Strong understanding of statistical concepts and data interpretation.
- Ability to communicate complex data findings clearly.
Nice to have
- Experience in Healthcare or Oncology/Clinical Data.
- Knowledge of experiment design.
- Experience developing software tools.
- Proficiency in Python.
Culture & Benefits
- Hybrid work model with 3 office days per week.
- Competitive base pay, annual bonus, and equity opportunities.
- Comprehensive medical and financial benefits package.
- Culture focused on integrity, growth, and improving cancer care.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →