Research Scientist in Science (Machine Learning and Computational Biology)

InstaDeep

Oct 11

Internship
Full-time
Off-cycle Internship
Research & Development
Data
London
Quick Apply

AI generated summary

The ideal candidate for this Research Scientist position must have a PhD in Computational Biology or Machine Learning, a track record of high-quality research publications, strong communication and collaboration skills, proficiency in deep learning frameworks (PyTorch, Jax, Tensorflow), and expertise in computational biology or machine learning. Desirable qualifications include experience with biological topics, large datasets and databases, protein language models, drug discovery, molecular dynamics, structural biology, and machine learning topics like large language models and generative models. Familiarity with handling 3D structural data using techniques such as Graph Neural Networks is also valued.
The Research Scientist will develop and implement deep learning research in computational biology, collaborate with internal and external partners, publish results, and present findings to contribute to the company's goals and represent InstaDeep at conferences/events.

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.

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.