Machine Learning Scientist

Overview

On Site
$120000 - $220000 per annum
Full Time

Skills

Machine Learning Scientist

Job Details




iO Associates are delighted to be working with this Boston based biotech that are hiring for a talented Machine Learning Scientist to join their innovative team.



Company Overview: Our client, a biotech operating in the genetic medicine space, is dedicated to developing cutting-edge RNA-based therapeutics for a wide range of diseases. Committed to precision and innovation, they are on a journey to transform the landscape of genetic medicines and make a significant impact on human health.



Position Summary: As a Machine Learning Scientist, you will play a pivotal role in advancing RNA-based therapeutics by developing state-of-the-art machine learning models. Collaborating closely with the scientific team, you will design and implement cutting-edge algorithms to drive drug design programs and enhance the understanding of RNA biology. If you are a skilled researcher with a passion for pushing the boundaries of machine learning then get in touch!



Key Responsibilities:



  • Develop and implement advanced transformer-based machine learning architectures for drug design.

  • Collaborate with laboratory scientists to extract key insights into RNA biology through modeling.

  • Work with IT and Engineering teams to deploy machine learning solutions.

  • Design methodologies to enhance the usability and interpretability of complex models.



Essential Skills & Experience:



  • PhD with 0-3 years of experience or 5+ years of experience with an MS in AI, computer science, or related fields.

  • Knowledge of structural biology/chemistry and the drug development process.

  • Expertise in transformer architectures such as T5, BERT, GPT, PaLM2.

  • Proven experience in machine learning algorithm development and innovation.

  • Strong background in deep learning frameworks

  • Familiarity with MLOps platforms



Desirable Skills & Experience:



  • Experience in distributed training strategies.

  • Exposure to ML model lifecycle processes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.