Senior Scientist, Cellular Automation

Takeda • Boston, MA

1d • $137,000 - $215,270

About The Position

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide. Objective / Purpose: The Senior Scientist will play a pivotal role in Takeda’s “Lab of the Future” initiative, building a capability to provide robust cell lines, at scale, to enable the execution of robust cellular assays on fully automated, integrated platforms. The Senior Scientist will partner closely with Drug Discovery Units (DDUs), Lead Profiling, and automation engineering to help design, build and leverage an automated infrastructure to supply cells to scientists running assays to drive Takeda’s DMTA cycle. In this role you will: Accelerate Discovery through Automation and AI-Integrated DMTA: Support the design and execution of cellular assays in 384- and 1,536-well formats on fully automated, robotic platforms with robust processes to ensure delivery of consistent cells through continuous culture or cryopreservation. Help create an infrastructure that operates in a highly efficient way, leveraging state-of-the-art automation and technology. Drives Cross-Functional Impact: Partners with DDUs, Lead Profiling, and data science teams to interpret cellular data in the context of SAR, disease biology, and mechanism-of-action, informing compound progression and portfolio decisions.

Requirements

• Ph.D. in Cell Biology, Pharmacology, Oncology, Molecular Biology, Chemical Biology, or related discipline with at least 2+ years of industry experience OR M.S. with 8+ years; OR B.S. with 10+ years of relevant pharmaceutical or biotech R&D experience.
• Expert in cell culture, biobanking and cell line maintenance
• Significant experience in building and leveraging cell culture automation to support high throughput workflows
• Familiarity with developing, optimizing, and executing High Content Assays, and other assay modalities such as reporter gene, CTG, GPCR, HTRF, AlphaScreen, MSD, and qPCR for primary, secondary, and mechanistic profiling.
• Experience embedding AI/ML and advanced analytics into DMTA processes and decision-making
• Hands-on familiarity with scheduling software, LIMS/ELN, and data pipeline tools commonly used in automated labs.
• Proficiency in data analysis and figure generation using tools such as Dotmatics, Spotfire or GraphPad.
• Demonstrated ability to work independently and collaboratively in a highly matrixed, cross-functional environment while managing multiple priorities and contribute to mentoring or guiding junior scientific staff.
• Hands-on experience with live-cell imaging platforms such as Incucyte for real-time monitoring of cell growth, morphology, and confluence kinetics.
• Design and implementation of cellular profiling workflows to track growth kinetics, passage number effects, and phenotypic drift over time.
• Deep understanding of media formulation, optimization, and supplementation strategies to support diverse cell types (primary, iPSC-derived, engineered lines).
• Experience establishing and maintaining automated cell expansion, passaging, and seeding workflows with tight control over cell health and consistency.

Responsibilities

• Advance Automated Cell Culture Design, develop, optimize, and validate cellular automation platforms to enable continuous culture and large-scale cell banks.
• Partner with assay designers to drive assay miniaturization to 1,536-well formats, ensuring robustness, reproducibility, and biological relevance.
• Ensure that all cell lines are appropriately QC’d and banked.
• Leverage automation to minimize manual culture and support an assay environment that runs 24/7
• Ensure that the most disease relevant cells lines are used to drive SAR
• Contribute to seamless integration of instrumentation with LIMS/ELN systems, scheduling software, and digital data pipelines to enable end-to-end automation.
• Apply advanced statistical analysis and visualization tools to assess assay robustness, variability, and data quality.
• Ensure datasets are standardized, curated, and appropriately annotated to support AI/ML-driven analytics and cross-program insights.
• Contribute to data governance practices that promote longitudinal learning across Takeda’s discovery portfolio.
• Partner closely with DDUs, data sciences, translational sciences, and medicinal chemistry to advance program objectives.
• Communicate findings clearly in cross-functional forums and contribute to scientific discussions that shape portfolio decisions.
• Uphold Takeda’s values of Integrity, Fairness, Honesty, and Perseverance in all scientific and operational activities.

Benefits

• U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
• U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees