Senior Scientist — AI-Driven Biomaterials Designer

Moventas Wind Ltd

Espoo

Hybrid

EUR 90,000 - 120,000

Full time

34 hours ago
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Benefits offered by this job

6 weeks paid holidays
Well-being and culture benefits
Exercise benefits

Job summary

VTT is seeking a Senior Scientist to advance AI-driven biomaterials design, focusing on diffusion-based generative models for protein design and integration with data pipelines. The role involves leading research across Europe and mentoring researchers within a collaborative environment.

The candidate should hold a Master’s or PhD in ML, computational biology, or physics, with experience in protein modelling, MD simulations, and proposal drafting.

Qualifications

  • Masters or doctoral degree in Machine Learning, Computational Biology, Physics, or a related field.
  • Experience in applying ML to biotechnology, protein modelling or biomolecular systems.
  • Good communication skills and ability to build high value research collaboration.

Responsibilities

  • Contribute to the creation of novel bio-based materials with tailored functional properties.
  • Lead the development of diffusion-based generative models for protein design, including transformer-based and masked diffusion approaches.
  • Advance hierarchical, conditional, and multi-objective generation methods for biomolecular systems.
  • Design and implement motif-aware infilling and constrained sequence design workflows.
  • Integrate ML models into DBTL pipelines, including active learning and iterative model improvement.
  • Connect generative models with data pipelines and physics-based simulations (e.g. MD, coarse-grained modelling).
  • Collaborate with multidisciplinary teams across Europe and mentor junior researchers.

Skills

English proficiency
Communication skills
Team collaboration
Proposal drafting

Education

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

Tools

MD simulations

Job description

VTT is seeking a Senior Scientist to advance AI-driven biomaterials design, focusing on diffusion-based generative models for protein design and integration with data pipelines. The role involves leading research across Europe and mentoring researchers within a collaborative environment.

The candidate should hold a Master’s or PhD in ML, computational biology, or physics, with experience in protein modelling, MD simulations, and proposal drafting.

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