Lead Data Scientist

Vor 4 Tagen

Zürich, Zürich, Schweiz Luminary Group Vollzeit

Luminary Group, a leading life science company, is seeking a highly experienced Senior Data Scientist to drive analysis and interpretation of real-world data. As a key member of the team, you will be responsible for generating valuable insights and supporting evidence-based decision making in the healthcare industry.

Key Responsibilities:
  • Lead Data Science Initiatives: Develop and implement data mining and statistical modeling techniques to analyze complex real-world evidence datasets.
  • Data Quality and Integrity: Preprocess and clean large-scale real-world data to ensure accuracy and reliability.
  • Advanced Analytics: Apply statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data.
  • Predictive Modeling: Develop predictive models to forecast outcomes and trends based on real-world evidence.
  • Collaboration and Communication: Work closely with cross-functional teams to interpret analysis findings and communicate results to stakeholders.
  • Stay Current: Stay up-to-date with the latest research and advancements in data science and real-world evidence.

Requirements:

  • Education and Experience: Bachelor's degree in data science, computer science, statistics, or a related field; advanced degree preferred. Minimum of 5 years of experience as a Data Scientist, preferably with a focus on real-world evidence and the healthcare industry.
  • Skills and Expertise: Proven track record of successfully leading and implementing data science projects. Strong knowledge of data mining, statistical modeling, and machine learning algorithms. Proficiency in programming languages such as Python or R for data manipulation and analysis.
  • Desirable Qualifications: Experience with data visualization tools, such as Tableau or Power BI. Solid understanding of database systems and SQL for data querying and manipulation. Excellent analytical and problem-solving skills, with the ability to find insights in complex datasets.

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