Associate Director, Data Scientist & Data Operations

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

THIS SECTION IS FOR INTERNAL USE ONLY (NOT POSTED)

The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business.

Responsibilities

• Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes.
• AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools.
• Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights.
• Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development.
• Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes.
• Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making.
• Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support.
• Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions.
• Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices.
• Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders.
  
  

Qualifications

• Computer Science Master’s degree from an accredited institution with research projects.
• Extensive expertise in data modeling techniques.
• Proficient in Python or R, with strong experience in data manipulation and analysis libraries.
• Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively.
• Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently.
• Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.
  
  

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

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