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Clinical Data Analyst

2 months ago

Belfast, United Kingdom Lifelancer Full time
Job Title: Clinical Data Analyst

This role requires an individual with a scientific/clinical background in oncology or non-oncology disease areas paired with experience in data analysis or bioinformatics. The individual will develop key business rules, identify key patient cohorts, and develop real-time metrics on all patients and testing in our Real-World Data repository, enabling powerful analyses and insights.

Key Responsibilities:
  • Contribute to the delivery against the Strategic Objectives of the team and reporting on the same.
  • Develop a product mindset, solving problems in a scalable way that will benefit multiple clients of Lifelancer.
  • Assist in RD practices in how experimentation is carried out, documented, and innovations captured through the Invention Disclosure process.
  • Assist in the creation of new Diagnostic Deductive Pathways (DDPs), business rules, and eligibility criteria from internal or client requests.
  • Carry out detailed validation of business rules and eligibility criteria with cross-functional agreement from additional teams.
  • Assist in labelling our lab data and enhancing our LLM through work in Annotation Lab.
  • Assist with tracking of business rules and logic per project/product, ensuring repeatability and traceability.
  • Assist with bespoke analysis, disease-specific projects, and in-depth patient journey analysis.
  • Assist with the reduction of data wrangling time for the IES team, particularly the data analysts and also the business analysts.
  • Maintain a strong focus on the data strategy of the team in terms of GAP analysis and data utilization.
  • At all levels maintain excellent data quality control processes.
  • Assist with training within the wider company in terms of understanding our data sources and their applications.
Required Attributes:
  1. People Skills: Demonstrated ability in leadership, coupled with excellent communication and problem-solving skills.
  2. Technical Skills: Disease expertise, ability to translate disease knowledge into real-world data to derive enhanced insights. Data handling, analytics/statistics, and interpretation and validation of results.
  3. Initiative and Independence: Highly self-motivated with the initiative to drive projects forward. Thrives in collaborative, fast-paced team environments.