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Clinical Data Analyst
2 months ago
This is a unique opportunity to join Lifelancer, a talent hiring platform in Life Sciences, Pharma, and IT, as a Clinical Data Analyst. We are seeking an individual with a scientific/clinical background in oncology or non-oncology disease areas paired with experience in data analysis or bioinformatics.
Key Responsibilities- Contribute to Strategic Objectives: Deliver against the team's strategic objectives and report on progress.
- Develop Scalable Solutions: Develop a product mindset to solve problems in a scalable way that benefits multiple clients of Lifelancer.
- Assist in RD Practices: Assist in research and development practices in experimentation, documentation, and innovation capture through the Invention Disclosure process.
- 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 labeling our lab data and enhancing our Large Language Model (LLM) through work in Annotation Lab.
- Ensure Data Quality: Maintain a strong focus on data quality control processes at all levels.
- Train and Educate: Assist with training within the wider company in terms of understanding our data sources and their applications.
- People Skills: Demonstrated ability in leadership, 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, thrives in collaborative, fast-paced team environments.
Lifelancer is a talent hiring platform in Life Sciences, Pharma, and IT. We connect talent with opportunities in pharma, biotech, health sciences, healthtech, data science, and IT domains.