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  • Location: Boston
  • Salary: Great salary and benefits package
  • Job Type:Permanent

Posted 4 months ago

  • Sector: Software
  • Contact: Ollie Gearing
  • Contact Email:
  • Contact Phone: 01403 216216
  • Start Date: 2023-08-01
  • Job Ref: V-48347
We are a pioneering next-generation therapeutics company at the forefront of the convergence between computation and life sciences. Our mission is to revolutionize drug discovery by delivering safer and more effective therapeutics that defy traditional drug discovery pipelines. Our team comprises curious, impact-driven professionals from diverse disciplines, united by our passion to redefine the future of medicine. The main office based in Boston, and offers fully remote working for the platform team.
Role Overview:
As the Senior/Principal Machine Learning Scientist, you will play a crucial role in powering our AI platform, advancing our drug discovery pipeline through cutting-edge machine learning models and algorithms. Collaborating closely with chemists, biologists, and data scientists, you will design and implement proprietary technology for early-stage drug discovery. Mentoring and sharing knowledge with fellow team members will be an integral part of this role, fostering a collaborative and intellectually stimulating environment. Additionally, you will analyze complex biological and chemical data, identifying patterns, trends, and potential drug candidates.
  • Lead the design, development, and implementation of state-of-the-art machine learning models and algorithms for our AI platform, elevating drug discovery capabilities.
  • Collaborate closely with cross-functional teams to implement proprietary technology for early-stage drug discovery.
  • Mentor and share knowledge with team members, promoting a multidisciplinary and impactful work environment.
  • Drive the technical execution of programs and research methods to overcome challenges.
  • Work closely with medicinal chemists and biologists to translate ideas into actionable insights on our platform.
  • Analyze and interpret complex biological and chemical data to identify promising drug candidates.
  • Stay up to date with the latest advancements in machine learning, artificial intelligence, and drug discovery, exploring opportunities to integrate novel methodologies and technologies into our research.
  • D. in computer science or related field, or a Ph.D. in Chemistry/Life Science related field, with a minimum of 5 years of industry experience in Machine Learning models design for drug discovery applications. Alternatively, an MS with 8 years of industry experience.
  • Proven industry experience of at least 5 years, preferably in a small start-up environment, with a focus on early-stage drug discovery applications.
  • Demonstrated track record of developing innovative machine learning solutions for real-life challenges.
  • Strong expertise in machine learning, data mining, and statistical analysis techniques, with successful application in the pharmaceutical or biotech industry.
  • Solid understanding of the underlying math and statistical learning concepts in modern machine learning techniques.
  • Familiarity with modern Deep Learning Architectures like Transformers and Graph Neural Networks.
  • Publications or research in fields related to artificial intelligence.
  • Comfortable with modern software development practices (Git, Issue tracking, code-review, CI/CD, etc).
  • Ability to thrive in a complex, multi-disciplinary environment.
Desired Skills & Attributes:
  • Knowledge of chemical informatics, molecular modeling, and drug discovery workflows.
  • Familiarity with Computational Chemistry methods.