Primary Responsibility Includes:
- Participate in cross-functional efforts to identify risks to data integrity and quality for external data sources
- Develop automated means of measuring and mitigating risk through quantitative analysis of operational and collected data
- Proactively problem, formulate problem statements and sets, derive them to manageable data collections and apply critical thinking to develop solutions
- Support and develop clinical data analyses (listings, visualizations) for the review of both non-EDC and EDC sourced data
- Participate in and effectively deliver periodic reviews of quantitative analyses to stakeholders, to drive process and collection optimization.
Required Skillset
The must haves!
Education, Skills Requirements:
- Minimum 6 years’ relevant experience in healthcare (medical, biopharmaceutical) data analytics and related technologies, and Bachelor’s degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required
- Experience with large datasets, designing and developing pipelines and analyses (TLFs, visualizations), ideally with clinical or research data sources
- Experience with data infrastructure and analysis platforms, elluminate preferred
- Experience with clinical trial data
- Knowledge of and experience with medical terminology, controlled terminology, clinical data standards is a plus
- Excellent interpersonal skills and communication skills (verbal and written) with the ability to work independently and collaboratively in a dynamic team environment
- Ability to thrive working in a fast-paced environment, manage a variety of projects simultaneously, and handle rapidly changing information
- Ability to clearly communicate, resolve complex issues, and mitigate risks
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