Associate Scientist, High-Throughput Mass Spectrometry (Automation)

Job Description 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 Associate Scientist will play a critical role in advancing high‑throughput mass spectrometry screening and iterative Design–Make–Test–Analyze (DMTA) activities across small and large molecule programs. Operating within fully automated, integrated laboratory systems, the individual will develop and execute robust bioanalytical assays that generate high‑quality, decision‑enabling data for discovery. The role will contribute to Takeda’s “Lab of the Future” initiative, driving implementation of highly efficient, AI‑integrated DMTA cycles that accelerate innovation and enhance data‑driven discovery. Responsibilities Accelerate discovery through automation and AI integration by implementing and operating fully automated, end‑to‑end assay workflows. Ensure data quality and scientific rigor by applying statistical methodologies to evaluate assay performance and ensuring high‑integrity data for decision making. Drive cross‑functional impact by partnering closely with DMPK, medicinal chemistry, data sciences, and early discovery teams. Accountabilities Develop, miniaturize, optimize, and validate robust high‑throughput MS workflows focusing on acoustic MS, RapidFire MS, MALDI‑MS or similar platforms. Generate high‑quality, reproducible data to enable informed decision‑making within iterative DMTA cycles. Design and execute quantitative and qualitative bioanalytical assays at 384- or 1536‑well scale. Perform and ensure timely execution of MS detection assays and communicate results effectively to program teams. 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. Maintain a high‑performing laboratory environment by applying quality control standards, executing preventative maintenance, and ensuring strict adherence to SOPs. Familiarity with LIMS/ELN systems. Education & Competencies (Technical and Behavioral) Master’s degree in Analytical Chemistry, Biochemistry, Pharmaceutical Sciences or related discipline with 3+ years OR Bachelor’s degree with 5+ years of relevant industry experience in drug discovery. Demonstrated expertise in high‑throughput MS platforms (Acoustic MS, RapidFire 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; scripting or data handling (Python, R, Spotfire) is a plus. Familiarity with laboratory automation systems. Excellent organizational and communication skills. Proven experience in developing and/or evaluating novel small molecules and biologics. Ability to work independently and collaboratively in a highly matrixed, cross‑functional environment while managing multiple priorities. Stays current with emerging scientific literature, competitive landscapes, and innovative technologies. Additional Information Location: Cambridge, MA. Takeda Compensation and Benefits Summary Base Salary: $103,500.00 – $162,690.00 (U.S. based employees may also be eligible for short‑term and/or long‑term incentives and a suite of medical, dental, vision, and other benefits). EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. #J-18808-Ljbffr BioSpace