Senior AI Scientist - Biomaterials & Diffusion Design

VTT

Espoo

On-site

EUR 90,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Impactful research
Collaborative culture
Long-term career
Well-being benefits

Job summary

VTT in Espoo, Finland, seeks a Senior Scientist to advance AI-driven biomaterials design. You will develop diffusion-based generative models for protein design within the VTT ProperTune framework and collaborate across teams to accelerate data-driven materials innovation.

Ideal candidates hold a Master's or PhD in ML, computational biology, or physics, with experience in biotech ML, MD simulations, and strong English communication.This role combines research excellence with industrial

Qualifications

  • Masters or PhD in Machine Learning, Computational Biology, Physics, or a related field.
  • Experience applying ML to biotechnology, protein modelling or biomolecular systems.
  • Familiarity with integrating ML with simulation approaches (e.g. molecular dynamics).
  • Good communication skills and ability to build high-value research collaboration.

Responsibilities

  • Contribute to novel bio-based materials with tailored properties.
  • Lead development of diffusion-based generative models for protein design.
  • Advance hierarchical, conditional generation methods for biomolecular systems.
  • Design motif-aware infilling and constrained sequence design workflows.
  • Integrate ML models into DBTL pipelines with active learning.
  • Connect generative models with data pipelines and physics-based simulations (e.g. MD).
  • Collaborate with multidisciplinary teams across Europe.
  • Mentor and support research scientists and junior researchers.

Skills

Machine Learning
Computational Biology
Biomolecular Modelling
MD Simulation
English Proficiency
Collaboration

Education

Master's or PhD in ML/Computational Biology/Physics

Tools

Molecular Dynamics
Diffusion Models

Job description

VTT in Espoo, Finland, seeks a Senior Scientist to advance AI-driven biomaterials design. You will develop diffusion-based generative models for protein design within the VTT ProperTune framework and collaborate across teams to accelerate data-driven materials innovation.

Ideal candidates hold a Master's or PhD in ML, computational biology, or physics, with experience in biotech ML, MD simulations, and strong English communication.This role combines research excellence with industrial

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