Data Scientist

Takeda • Lexington, MA

4d

About The Position

The Data Scientist in Process Development supports data integration and expands data visualization and modeling capabilities for biotherapeutics process development. The role turns complex process data into clear insights that support scientific research, development, testing, and process improvement. It analyzes data from materials, processes, and experiments under a range of conditions to support better decisions across development work.

Requirements

• Bachelor’s degree with 8+ years of experience, Master’s degree with 6+ years of experience, or a PhD in data sciences or a related field.
• Experience working as a data scientist, data analyst, or in a similar role supporting scientific or process development work.
• Strong experience with data integration, data cleaning, and working across multiple data sources.
• Strong experience building data visualizations, dashboards, and reports for technical audiences.
• Experience developing statistical, machine learning, or predictive models for scientific or process data.
• Understanding of biotherapeutics process development, biopharmaceutical data, or related laboratory and manufacturing data.
• Ability to independently analyze complex data, select appropriate methods, and communicate findings clearly.
• Familiarity with laboratory, process development, or manufacturing systems used to generate and manage scientific data.
• Ability to support junior team members and contribute to process improvements through data-driven insights.

Responsibilities

• Develop, implement, and support data integration workflows that combine process development data from multiple sources.
• Build and improve data visualization tools and dashboards to help teams explore trends, patterns, and process performance.
• Develop statistical and predictive models to support biotherapeutics process development and data-driven decision-making.
• Independently analyze complex datasets and identify useful insights, anomalies, and opportunities for improvement.
• Work with scientific and technical teams to define data needs, align on analysis approaches, and support project timelines and deliverables.
• Present data findings, models, and technical updates at team meetings and project reviews.
• Troubleshoot data, software, or analysis issues and recommend practical improvements.
• Serve as a technical resource and trainer for the team on data tools, analysis methods, and visualization practices.
• Participate in external collaborations and interactions to support data analysis, model development, and knowledge transfer.
• Support junior team members and contribute to process improvements through data-driven insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior