Takeda
Biotech
AIRxDirector,Computational&AIBiologicsDesignLead
“AIRx Director, Computational & AI Biologics Design Lead at Takeda. Skills: Computational Biology, AI/ML, Drug Discovery. Lead the design and implementation of computational and. Develop and apply machine learning and statistical models”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience in computational biology, PhD in computational biology, bioinformatics, or related field, Experience with large-scale biological data analysis, Experience with machine learning and statistical modeling, Experience with programming languages such as Python or R, Experience with cloud computing platforms (AWS, Azure, GCP), Experience with bioinformatics tools and databases
Nice to Have
Experience with AI/ML model development and deployment, Experience with deep learning frameworks (TensorFlow, PyTorch), Experience with drug discovery and development processes, Experience with software development best practices
What You'll Do.
Lead the design and implementation of computational and
Develop and apply machine learning and statistical models
Analyze large-scale biological datasets
Collaborate with cross-functional teams to integrate computational approaches
Stay current with advancements in computational biology
Mentor and guide junior scientists
Communicate findings and strategies to stakeholders
How You'll Work.
Team & Collaboration
Cross-functional teams; Drug discovery pipelines
Communication Scope
Communicate findings
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