Applied Scientist, Eu Intech Consumer Selection Discovery, Eu Intech Consumer Selection Discovery (Alcobendas)

Applied Scientist, Eu Intech Consumer Selection Discovery, Eu Intech Consumer Selection Discovery (Alcobendas)

28 oct
|
Actual Talent
|
Alcobendas

28 oct

Actual Talent

Alcobendas

Experteer Overview As a Senior Scientist in our In Silico Discovery group, you design and validate agent-enabled workflows to address high-value discovery questions. You collaborate with chemists, biologists, and data scientists to translate scientific problems into reusable, evidence-based workflows. You will prototype agentic approaches, evaluate their scientific validity, and prepare them for production use with cross-functional partners. This role blends deep cheminformatics expertise with AI-assisted methods to advance discovery capabilities and impact drug discovery at scale. Compensaciones / Incentivos

Build partnerships with medicinal chemists, ISD/CADD scientists, biologists, DMPK scientists, and data scientists to uncover opportunities in projects

Translate complex scientific questions into defined workflows with explicit evidence and decisions

Design meaningful use cases, reference datasets, and success criteria for rigorous evaluation

Evaluate agent behavior for scientific validity, reproducibility, and relevance to discovery decisions

Capture insights from early applications to guide further development

Develop and test agentic prototypes using data, models, and tools to address scientific objectives

Own agentic prototypes/workstreams, set success measures, and ensure value to discovery needs

Support adoption of agentic capabilities by integrating into familiar scientific environments and training users

Lead the design, prototyping, and validation of agent-enabled workflows and collaborate with data science and platform teams for production implementation

Responsabilidades

PhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or related discipline

Strong understanding of compound design and predictive models

Strong Python programming skills and experience building automated workflows

Hands-on experience with AI-assisted development for scientific software or workflows

Ability to work independently and collaborate across scientific, data science, and technology teams

Willingness to travel up to 10% domestically and internationally

Requisitos principales

annual bonus with target % of pay

vacation days

parental leave for at least 12 weeks

bereavement leave

caregiver leave

well-being reimbursement

Senior Scientist, Scientific Workflows & Agentic Cheminformatics Madrid, ES

📌 Applied Scientist, Eu Intech Consumer Selection Discovery, Eu Intech Consumer Selection Discovery (Alcobendas)
🏢 Actual Talent
📍 Alcobendas

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