Biotech Data Scientist: Process Analytics & Modeling

USA - 3316 Takeda Development Center Americas, Inc.; Lexington (MA); On-site; USD 116,000 - 182,000; Full time

Job summary

Takeda in Lexington, MA is seeking a Data Scientist to support data integration, visualization, and modeling for biotherapeutics process development. You will turn complex process data into clear insights that drive research, development, testing, and process improvement.

You will build workflows, dashboards, and predictive models, collaborate with science and technical teams, and present data findings at reviews.

Qualifications

• Strong experience with data integration, cleaning, and cross-source data.
• Experience building visualizations and dashboards for technical audiences.
• Experience developing statistical or predictive models for scientific data.

Responsibilities

• Develop and support data integration workflows across sources.
• Build data visualization tools and dashboards to explore trends.
• Develop statistical and predictive models for process development.
• Analyze complex datasets, identify insights and opportunities.
• Collaborate with sci/tech teams to define data needs and timelines.
• Present data findings and models at team meetings and reviews.
• Troubleshoot data, software, or analysis issues and propose improvements.
• Serve as a technical resource and mentor for data tools and methods.

Skills

Data integration

Data visualization

Statistical modeling

Machine learning

Biotherapeutics data

Data cleaning

Dashboards

Education

Bachelor's with 8+ years, Master’s with 6+ years or PhD in Data sciences or related field

Job description

Takeda in Lexington, MA is seeking a Data Scientist to support data integration, visualization, and modeling for biotherapeutics process development. You will turn complex process data into clear insights that drive research, development, testing, and process improvement.

You will build workflows, dashboards, and predictive models, collaborate with science and technical teams, and present data findings at reviews.