Associate Principal Ai Research Scientist (fundamental Ai Research For Digital Biology)

Trzdev35

Hybrid (average of three days in the office per week)
Novel ai theories, methodologies, and algorithms
Design and develop machine learning models
Analyzing heterogeneous biological data
Trzdev35 is seeking an Associate Principal AI Research Scientist to lead projects in AI research aimed at improving drug discovery and development through novel algorithms and methodologies. The ideal candidate will have a PhD in a relevant field and extensive experience in machine learning, particularly within biological contexts

Job Summary

  • You will lead and contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and provide innovative solutions in fields such as deep learning, representation learning, reinforcement learning, meta-learning, active learning approaches applied to de novo molecule design, protein engineering, in-silico discovery, structural biology, genetic engineering, synthetic biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas.
  • You will lead and develop machine learning models designed explicitly for analysing heterogeneous biological data while collaborating with biology researchers to run algorithmically designed wet lab experiments to inform future experimental directions.
  • We are working towards treating, preventing, modifying , and even curing some of the world's most complex diseases.

Matching Summary

Match Score: 85

Trzdev35 is seeking an Associate Principal AI Research Scientist to lead projects in AI research aimed at improving drug discovery and development through novel algorithms and methodologies. The ideal candidate will have a PhD in a relevant field and extensive experience in machine learning, particularly within biological contexts.

Skills & Requirements

Must-have

  • novel AI theories, methodologies, and algorithms
  • design and develop machine learning models
  • analyzing heterogeneous biological data
  • theoretical understanding of AI/ML
  • algorithmic development and programming in Python
  • deep learning toolkits

Nice-to-have

  • collaborating with biology researchers
  • participating in journal clubs and seminars
  • contributing to publications and collaborations
  • domain knowledge in biology/chemistry

Key Requirements

  • PhD in machine learning or related discipline
  • Fundamental AI research experience
  • Proven track record in conceptualizing new models
  • Strong quantitative knowledge
  • Experience designing new AI/ML approaches

Work Rights

Not specified

Tailored Resume

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