Takeda · 1 week ago
Research Senior Scientist AI/ML Orchestration and Operationalization
Takeda is a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. They are seeking a Senior Scientist to lead the design and implementation of AI orchestration systems within the AI/ML Foundation team, focusing on building infrastructure that enables seamless coordination of AI capabilities across various research domains.
BiotechnologyHealth CareManufacturingMedicalPharmaceutical
Responsibilities
Design and implement AI orchestration frameworks that integrate agentic systems, data pipelines, and model serving infrastructure to enable coordinated multi-model workflows
Build scalable orchestration layers connecting predictive models, generative models, and foundation models with experimental data sources for end-to-end workflow automation
Develop data engineering solutions including data ingestion pipelines, transformation workflows, feature stores, and model serving infrastructure supporting discovery across modalities
Create intelligent orchestration systems that coordinate agentic AI components for autonomous task decomposition, tool selection, and execution across scientific domains
Establish monitoring, observability, and governance frameworks ensuring reliability, reproducibility, and transparent decision-making across AI systems
Partner with computational scientists, data engineers, and research teams to ensure orchestration infrastructure meets the needs of diverse discovery workflows
Stay current with advances in agentic AI, workflow orchestration, and distributed systems; evaluate and integrate emerging technologies
Qualification
Required
PhD in Computer Science, Data Engineering, Computational Science, or related field with 2+ years relevant experience, OR MS with 6+ years relevant experience
Strong software engineering skills with proficiency in Python and experience with distributed systems and cloud infrastructure (AWS, GCP)
Experience with workflow orchestration frameworks (Airflow, Prefect, Dagster, or similar) and data pipeline development
Familiarity with agentic AI frameworks (LangChain, AutoGen, or similar) and LLM integration patterns
Experience with containerization (Docker, Kubernetes) and microservices architecture
Strong problem-solving skills and ability to work across teams in a fast-paced R&D environment
Preferred
Experience building AI/ML platforms or infrastructure in pharmaceutical or life sciences settings
Familiarity with scientific computing workflows and computational chemistry/biology tools
Experience with model serving frameworks (TorchServe, Triton, BentoML) and feature stores
Knowledge of monitoring and observability tools (Prometheus, Grafana, MLflow)
Experience with event-driven architectures
Benefits
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
Well-being benefits
Up to 80 hours of sick time
Up to 120 hours of paid vacation
Company
Takeda
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
H1B Sponsorship
Takeda has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (39)
2023 (38)
2022 (34)
2021 (44)
2020 (18)
Funding
Current Stage
Public CompanyTotal Funding
$2.46B2025-06-27Post Ipo Debt· $2.4B
2016-09-01Grant· $19.8M
2016-05-08Grant· $38M
Leadership Team
Recent News
2026-01-14
Pharmaceutical Technology
2026-01-11
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