Associate Scientist, ADME and Assay Development

Job Description

Takeda Research is constructing a Lab of Tomorrow built on AI, automation, new ways of working, and talent with the singular vision of delivering differentiated medicines to the clinic at speed and cost.

Objective /

Purpose:

The Associate Scientist will play a critical role in supporting ADME based high-throughput mass spectrometry screening and iterative Design–Make–Test–Analyze (DMTA) activities across small molecule programs. Operating within fully automated, integrated laboratory systems, this individual will develop and execute robust bioanalytical assays that generate high-quality, decision-enabling data for small molecule discovery. With strong expertise in statistical analysis to assess assay robustness and data quality as the ability to solve problems of moderate scope, the Associate Scientist will ensure rigor, reproducibility and efficiency across programs.

Importantly, this role will play a key part in Takeda’s “Lab of the Future” initiative, driving implementation of highly efficient, AI-integrated DMTA cycles that accelerate innovation and enhance data-driven discovery.

• Accelerates Discovery Through Automation & AI Integration:
  Executes and contributes to fully automated, end-to-end ADME assay workflows integrated with AI-enabled analytics to increase throughput, reduce variability, and shorten DMTA cycle times.
• Ensures Data Quality & Scientific Rigor:
  Applies statistical methodologies to evaluate assay performance (e.g., Z’, variability metrics, curve-fit confidence) and ensures high-integrity data that directly informs compound progression and portfolio decisions.
• Cross-Functional Impact:
  Partners closely with DMPK, medicinal chemistry, data sciences, and early discovery teams to translate assay data into actionable insights, supporting timely and informed advancement of discovery programs.

• Develop, miniaturize, optimize, and validate robust high-throughput ADME workflows, with a primary focus on acoustic MS for small molecule biotherapeutic lead profiling.
• Generate high-quality, reproducible ADME data to enable informed decision-making within iterative Design–Make–Test–Analyze (DMTA) cycles.
• Design, execute and support design of quantitative and qualitative bioanalytical assays at 384- or 1536-well scale
• Perform and ensure timely execution of ADME assays and communicate results effectively to program teams.
• Identify and troubleshoot up to moderately complex technical issues using established approaches; elevate more complex challenges as needed.
• Apply rigorous statistical analysis, curve fitting, and data visualization tools to interpret complex datasets.
• Utilize automation platforms and laboratory instrumentation to improve assay throughput, consistency, and efficiency.
• Collaborate closely with cross-functional teams including DMPK, medicinal chemistry, data sciences, and early discovery to drive project progression.
• Interpret, summarize, and present research findings at internal meetings and external scientific conferences as needed.
• Sustain a high-performing and reliable laboratory environment by rigorously applying quality control standards, executing preventative maintenance of instrumentation, and ensuring strict adherence to established standard operating procedures (SOPs).
• May lead discrete assay activities or components of projects.
• Familiarity with LIMS/ELN systems.
• Contribute to continuous improvement of assay workflows, laboratory practices, and documentation.

• Expected:
  Master’s degree in Analytical Chemistry, Biochemistry, Pharmaceutical Sciences or related discipline with 3+years of relevant industry experience in drug discovery (pharma/biotech) OR Bachelor’s degree with 5+ years.
• Demonstrated expertise in:
  • Developing, miniaturizing and analyzing ADME assays
  • Familiarity running high-throughput MS platforms (Acoustic MS, Rapid Fire MS, MALDI-MS or other platforms)
  • Method development, optimization, troubleshooting and routine operation
• Experience working within DMTA-driven discovery workflows.
• Proficiency with MS data analysis tools and software;…