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Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN
Ernst & Young - Detroit, MI
posted about 1 month ago
About the position
The Data Architect position at EY focuses on the Life Sciences sector, where the successful candidate will lead the development and optimization of clinical trial designs and predictive models. This role involves collaborating with clients to enhance clinical trial processes, ensuring they are efficient and meet high standards of accuracy. The position requires managing client engagement teams, fostering relationships, and providing innovative solutions to complex problems in advanced analytics.
Responsibilities
- Conceptualize, develop, and optimize clinical trial designs and predictive models.
- Streamline clinical trial processes to ensure efficiency and accuracy.
- Run multiple client engagement teams and provide unique business perspectives on advanced analytics.
- Monitor progress, manage risks, and keep stakeholders informed about outcomes.
- Manage client service delivery expectations and maintain long-term client relationships.
- Develop and manage clinical trial protocols, including study design and protocol writing.
- Perform statistical modeling and simulation to optimize clinical trial designs.
- Implement advanced statistical methods to analyze and visualize complex clinical data.
- Collaborate with clinical leaders to understand data needs and apply appropriate methodologies.
- Assess feasibility of proposed clinical trials based on statistical modeling.
- Provide statistical expertise and guidance to clinical teams and stakeholders.
- Prepare comprehensive reports of clinical trial results and present findings to stakeholders.
Requirements
- Bachelor's degree and approximately five years of related work experience, or a graduate degree with approximately four years of related work experience.
- Deep knowledge of Life Sciences Research and Early Discovery (R&ED) data & analytics.
- Strong experience in Life Sciences R&ED Data Information Architecture Development.
- Proven experience as a Clinical Trial Developer or researcher, preferably in a senior position.
- Proficiency in statistical modeling and clinical trial design.
- Experience with statistical analysis software (SAS, R, Python, etc.).
- Excellent understanding of clinical trial regulatory and submission processes.
- Familiarity with clinical trial data management systems.
- Strong analytical thinking and problem-solving skills.
- Excellent written and verbal communication skills.
- Knowledge of industry standards like CDISC SDTM, ADaM, and Define-XML.
- A minimum of four years' experience providing consulting services with a strategic focus.
Nice-to-haves
- Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field.
- Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc.).
- Experience with data and systems architecture (APIs, messaging, etc.).
- Experience with master data management and data governance.
- Experience with data visualization tools such as Power BI and Tableau.
Benefits
- Comprehensive compensation and benefits package based on performance.
- Medical and dental coverage.
- Pension and 401(k) plans.
- Wide range of paid time off options including flexible vacation policy.
- Time off for designated EY Paid Holidays, Winter/Summer breaks, and Personal/Family Care.
