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Clinical Data Analyst
2 months ago
This role requires an individual with a strong scientific/clinical background in oncology or non-oncology disease areas, paired with experience in data analysis or bioinformatics. The successful candidate 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 Strategic Objectives: Deliver against the team's strategic objectives and report on progress.
- Develop Scalable Solutions: Solve problems in a scalable way that benefits multiple clients of DXRX.
- Assist in RD Practices: Assist in research and development practices, including experimentation, documentation, and innovation capture.
- Create Diagnostic Deductive Pathways: Assist in creating new Diagnostic Deductive Pathways (DDPs), business rules, and eligibility criteria from internal or client requests.
- Validate Business Rules: Carry out detailed validation of business rules and eligibility criteria with cross-functional agreement from additional teams.
- Enhance Lab Data: Assist in labelling our lab data and enhancing our LLM through work in Annotation Lab.
- Track Business Rules: Assist with tracking of business rules and logic per project/product, ensuring repeatability and traceability.
- Bespoke Analysis: Assist with bespoke analysis of disease-specific projects and in-depth patient journey analysis.
- Data Wrangling: Assist with reducing data wrangling time for the IES team, particularly the data analysts and business analysts.
- Data Strategy: Maintain a strong focus on the data strategy of the team, including GAP analysis and data utilization.
- Data Quality Control: Maintain excellent data quality control processes at all levels.
- Training and Development: Assist with training within the wider company on understanding our data sources and their applications.
- People Skills: Demonstrated ability in leadership, coupled with excellent communication and problem-solving skills.
- 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.
- Initiative and Independence: Highly self-motivated with the initiative to drive projects forward, thriving in collaborative, fast-paced team environments.
Lifelancer is a talent hiring platform in Life Sciences, Pharma, and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech, data science, and IT domains.
Please use the below Lifelancer link for job application and quicker response.
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Remote Work: No