Totus Medicines, an innovative therapeutic drug discovery biotech, is just emerging from stealth. With a $40M Series A, Totus is poised to revolutionize drug discovery. For the first time, Totus is enabling genome-scale drug discovery to allow the identification of precision medicines for hard-to-drug targets. At its core, Totus is a chemical biology company. Totus’ novel proprietary platform allows screening at a rate more than 100,000 times faster than competitive technologies. Totus has pioneered the development of selective medicines for patients with genetically defined cancers and plans for its first program to enter Phase I by end of 2022. Totus also plans to expand their platform to create therapeutics targeted at neurodegeneration, infectious diseases, and others. We are searching for talented, passionate, high-energy candidates to join our growing team.

We are looking for a highly talented and motivated Machine Learning and AI Scientist from the world of academics or industry to join Totus to help build a world-class data science platform to drive forward medical discoveries to help save lives. You will be part of a dynamic organization and therefore you should be comfortable in a “building-mode” biotech setting where you will shape the company’s scientific strategy, culture, and mission.

 

How You Will Contribute

  • Build a strategy for a ML platform for Totus life science data.
  • Collaborate with key stakeholders, including other data scientists, biologists and chemists to understand, interpret datasets and apply the best ML methods.
  • Design and implement data preprocessing, integration, and analysis solutions.
  • Partner with the Platform Software Engineering team to build and deploy production analysis tools in the Cloud.
  • Designing new algorithms to find predictive patterns that combine heterogeneous data assets, including sequential user events data, unstructured text, and knowledge graph.

 

What You Bring 

  • MS or PhD or equivalent in a quantitative field, e.g., physics, math, computer science.
  • Demonstrated machine learning expertise with a solid publication and citation record.
  • Proven track record of applying ML methods to large datasets.
  • Experience in graph data, sparse data, generative and discriminative data modeling and geometric deep learning and neural networks (CNN, GNN, GAN etc.)
  • Knowledge of life science chemical (e.g. molecular descriptors) and biological (e.g. genomics sequence) data.
  • A deep desire to use data science to affect human lives and bring novel therapies to patients in need.
  • A curiosity to learn, takes initiative, has a bias for action, and a problem-solving attitude, along with high personal standards of reliability and a track record of driving projects to completion.
  • Tech Stack capabilities including, but not limited to, python, R, Snowflake.
  • The ability to work lean and in an agile research environment

What We Offer

  • A knowledgeable, high-achieving, experienced and fun team

  • A diverse work atmosphere

  • The chance to be part of a growing startup and the next success story

  • The opportunity to shape our company culture

  • Constant learning and dynamic challenges to help you grow and be the best version of yourself

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