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Research Scientist in Science (Machine Learning and Computational Biology)

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InstaDeep

Oct 11, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Research & Development
    Data
  • London

Requirements

  • Requirements:
  • PhD in Computational Biology, Machine Learning or a related scientific field.
  • A demonstrated ability to successfully deliver high-quality research, for example through the publication of scientific papers in journals or conferences.
  • Excellent communication skills and collaborative spirit.
  • Experience using deep learning frameworks such as PyTorch, Jax and/or Tensorflow.
  • Software development skills in Python.
  • Desirables:
  • Individuals in this role are expected to be accomplished in computational biology and machine learning, with deep expertise in at least one area evidenced by relevant academic/industrial experience or publications.
  • Experience with any of the following biological topics would be a plus.
  • Experience working with large biological datasets, databases (PDB, Uniprot, etc.) and their API technologies.
  • Protein language models
  • Drug discovery and protein engineering
  • Molecular dynamics
  • Structural biology
  • Experience, with any of the following machine learning topics would be a plus.
  • Large Language Models
  • Generative models
  • Methods for handling 3D structural data, such as Graph Neural Networks

Responsibilities

  • Develop and implement novel research on the application of deep learning to biology.
  • Contribute to team research and publish results at leading journal and conference venues.
  • Suggest and engage in collaborations to meet Research Team goals. This includes both external partners and fostering internal knowledge sharing and collaboration with our applied BioAI department and our strategic partners, such as BioNTech.
  • Report and present experimental results and research findings, both internally and externally, verbally and in writing.
  • Upon request, collaborate with other groups’ activities, including but not limited to presenting the company to new prospective clients, participating in calls and meetings, and representing InstaDeep at conferences/events.

FAQs

What is the primary focus of the Research Scientist position at InstaDeep?

The primary focus of the Research Scientist position at InstaDeep is to work at the intersection of machine learning and life sciences, developing next-generation deep learning technologies for applications such as generative models for protein sequence and structure, protein structure prediction, ML-enhanced molecular dynamics, and learning meaningful representations from proteomics datasets.

Where is the Research Scientist position located?

The Research Scientist position is located in London.

What type of expertise is required for this role?

The role requires expertise in machine learning, as well as in the curation of experimental data and computational modeling techniques, including homology modeling, molecular dynamics with classical force fields, and quantum chemistry calculations with density functional theory.

What will the Research Scientist be responsible for?

The Research Scientist will be responsible for shaping and delivering the research agenda, helping the team stay ahead of the curve in advancements within the field of machine learning and life sciences.

What kinds of projects can a Research Scientist expect to work on?

A Research Scientist can expect to work on projects related to generative models for protein sequence and structure, protein structure prediction and inverse folding, ML-enhanced molecular dynamics, and the analysis of proteomics datasets.

Is experience in experimental data curation necessary for this position?

Yes, experience in the curation of experimental data is necessary as it is integral to the role, alongside expertise in machine learning techniques.

Will the Research Scientist have the opportunity to develop deep learning technologies?

Yes, the Research Scientist will have the opportunity to develop next-generation deep learning technologies tailored for various life science applications.

What kind of team environment should a candidate expect?

Candidates should expect to work in an in-house research team focused on collaboration and innovation at the intersection of machine learning and life sciences.

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InstaDeep

Accelerate the transition to an AI-first world that benefits everyone

Technology
Industry
51-200
Employees
2014
Founded Year

Mission & Purpose

InstaDeep is a leading global technology company offering a range of AI solutions, ranging from optimized pattern-recognition, GPU-accelerated insights, to self-learning decision making systems. - Decision-making systems: Life and business are all about decisions. InstaDeep harnesses the power of reinforcement learning to create systems that can make decisions on their own, based on their own autonomous training. Many fields can benefit greatly from this technology, be it robotics, mobility, logistics, finance or healthcare. - GPU-accelerated insights: When you try to deploy AI in your business, compute power is key. A Multi-GPU setup can be messy and complicated. With Nvidia’s DGX-1 (one of the most powerful AI machines on the market), InstaDeep can help you achieve insane computing power to solve even the most intensive AI problems. - Optimized Deep Learning: Deep Learning delivers high-performance AI for pattern recognition yet is notoriously time-consuming to fine-tune. InstaDeep boosts this process to save you time and money on your computer vision, natural language processing or predictive analytics project.