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Senior Data Scientist

vor 1 Monat


Zürich, Schweiz TN Switzerland Vollzeit

Social network you want to login/join with:

Client:

Luminary Group

Location:Job Category:

Other

Job Reference:

9d36891722fa

Job Views:

10

Posted:

21.01.2025

Expiry Date:

07.03.2025

Job Description:

Luminary Group is currently partnered with a leading life science company who are seeking a highly skilled and experienced Senior Data Scientist with expertise in Real World Evidence (RWE) to join their team. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industry.

Responsibilities:
  • Lead and guide the development and implementation of data mining and statistical modeling techniques to analyze complex real-world evidence (RWE) datasets.
  • Preprocess and clean large-scale real-world data to ensure data quality and integrity.
  • Apply advanced statistical and machine learning algorithms to extract meaningful insights and patterns from RWE data.
  • Develop predictive models to forecast outcomes and trends based on real-world evidence.
  • Collaborate with cross-functional teams to interpret analysis findings and communicate results to stakeholders.
  • Stay up-to-date with the latest research and advancements in data science and real-world evidence.
  • Implement data visualization techniques to effectively communicate analysis results.
  • Lead the development of data-driven products and solutions for the healthcare industry.
  • Mentor and provide guidance to junior data scientists.
Requirements:
  • 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 (RWE) and the healthcare industry.
  • 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.
  • 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.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience with healthcare data and familiarity with healthcare data standards is highly desirable.
  • Understanding of regulatory requirements and ethics related to data analysis in healthcare.
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