Senior Data Scientist for Real-World Evidence

2 weeks ago

London, Greater London, United Kingdom Lifelancer Full time

Company Overview:

Lifelancer is a talent-hiring platform in Life Sciences, Pharma, and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, and IT domains.

About the Role:

We are seeking an experienced Senior Data Scientist for Real-World Evidence to join our team. This position will be based remotely, and you will have the opportunity to work on exciting projects that leverage real-world data to drive insights and inform business decisions.

Responsibilities:

  • Develop, validate, and maintain statistical programs for the analysis of real-world data, ensuring compliance with regulatory guidelines and internal standards
  • Perform data management tasks, including data cleaning, data transformation, and data integration from multiple sources to ensure data quality and integrity
  • Collaborate with cross-functional teams, including biostatisticians, data scientists, and clinical researchers, to design and implement statistical analyses that address specific research questions
  • Create and maintain comprehensive documentation for programming processes, data management workflows, and analysis results to ensure reproducibility and transparency
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies in real-world data
  • Assist in the preparation of statistical reports, presentations, and publications, summarizing findings and providing insights to stakeholders

Requirements:

  • Background in Statistics, Biostatistics, Data Science, Computer Science, or a related field (Strong statistical knowledge is considered a benefit)
  • 5+ years of experience working within a CRO or a pharma/biotech company
  • Fully proficient on ADaM and SDTM programming
  • Experience with large, complex datasets
  • Proven experience in statistical programming using languages such as SAS and R
  • Strong understanding of data management principles, including data quality
  • Experience with real-world data sources, such as electronic health records, claims data, or patient registries (essential)
  • Desired knowledge of AIML techniques applied to programming
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and collaboratively in a fast-paced environment

What We Offer:

  • A competitive salary range of $120,000 - $180,000 per year
  • Flexible working hours and remote work options
  • Ongoing training and development opportunities
  • A collaborative and dynamic work environment
  • A chance to work on exciting projects that leverage real-world data to drive insights and inform business decisions

How to Apply:

If you are a motivated and talented data scientist looking for a new challenge, please submit your application through our website.

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