Data Analytics Innovator for Global Healthcare

hace 1 semana


Barcelona, Barcelona, España Ontologize, Inc. A tiempo completo

**Company Overview:**

At Ontologize, Inc., we strive to create innovative solutions that enrich people's lives with our cutting-edge technology in the Healthcare sector. Our diverse teams across the globe work together to develop medicines, intelligent devices, and technologies that make a positive impact.

**Estimated Salary:** $140,000 - $180,000 per year, depending on experience.

Job Description:

As a Senior Data Scientist at Ontologize, Inc., you will be part of a team that drives innovation through data and digital solutions. Your primary responsibility will be to create data science solutions that turn data into actionable insights in collaboration with business stakeholders. Projects will focus on global Healthcare Research & Development operations, ranging from optimizing clinical trials to regulatory submissions and natural language processing including Generative AI.

**Key Responsibilities:**

  • Consult on potential solutions and guide the implementation team
  • Plan and lead the development of data analytics techniques, methodologies, and solutions
  • Present results to stakeholders and coordinate work packages for the project team
  • Implement algorithms and leverage advanced analytics ecosystem built on AWS, Snowflake, and Palantir Foundry cloud technology

Required Skills and Qualifications:

* Master or PhD in Mathematics, Physics, Computer Science, or a similar field

* Minimum 3-6 years of professional experience outside academia and in Healthcare, ideally in Research & Development

* Strong drive to identify new use cases that leverage data science to improve business processes

* Strong skills in Machine Learning, Statistics, and Predictive Modelling

* Experience in natural language processing is a plus

Benefits:

* Diverse, inclusive, and flexible working culture

* Great opportunities for personal development and career advancement

* Collaboration with international business teams, IT team, and data & analytics developer teams



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