Toxicology Scientist I: AI/ML In Vitro Modeling

Takeda; Boston (MA); On-site; USD 116,000 - 182,000; Full time

Job summary

Takeda in Boston, MA is seeking a scientist to develop and deliver automated in vitro and AI/ML toxicology models to accelerate safe drug candidate assessment. You will contribute to decision-making data to advance IND-ready programs, working with a global team of safety assessment scientists.

Responsibilities include designing AI/ML-driven in vitro assays, tissue culture of cancer cell lines and primary cells, data analysis, and presenting results.

Qualifications

• Ph.D. with 0–1 years, MS with 6+ years, or BS with 8+ years of experience in biology, biochemistry, pharmacology, or a related discipline.
• Experience using AI/ML tools to facilitate in vitro data analysis.
• Experience working in a matrixed team environment at a pharmaceutical company and/or CRO.
• Broad scientific knowledge in molecular and cellular biology, immunology, pharmacology, or toxicology.
• Expertise with standard aseptic cell culture techniques, including experience culturing various cell types.
• Experience with coding in R and Python is a plus.
• Experience with cell-based functional assays including transfection/transduction, imaging, and flow cytometry is a plus.
• Self-motivated with strong time management and organizational skills.
• Excellent oral and written communication skills.

Responsibilities

• Use AI/ML to develop, design, execute, and interpret in vitro cell-based assays to characterize diverse mechanisms of toxicity, focusing on oncology, neuroscience, and GI therapeutics.
• Tissue culture of immortalized cancer cell lines and human primary cells using manual and automated techniques.
• Prepare experimental protocols, analyze data, and present results in team and department meetings.
• Facilitate integration of AI/ML within investigative toxicology and with collaborators (pharmacology, DMPK, bioinformatics).
• Leverage automated platforms to run routine, well-established screening assays to prioritize assets based on safety.
• Partner with automation and technology teams to drive innovative approaches and highly efficient assay running.
• Initiate new experimental approaches using scientific theory and literature.
• Use defined practices to perform analysis, interpret results, and determine actions.
• Prepare and present technical or project reports and posters to internal and external audiences.
• Follow good documentation practices.

Skills

AI/ML tools

Matrixed team

Time management

Communication

Education

Ph.D. in biology/pharmacology

MS in biology/pharmacology

BS in biology/pharmacology

Tools

qPCR

Western blot

RNA/DNA extraction

Python

R

Job description

Takeda in Boston, MA is seeking a scientist to develop and deliver automated in vitro and AI/ML toxicology models to accelerate safe drug candidate assessment. You will contribute to decision-making data to advance IND-ready programs, working with a global team of safety assessment scientists.

Responsibilities include designing AI/ML-driven in vitro assays, tissue culture of cancer cell lines and primary cells, data analysis, and presenting results.