Totus Medicines is an innovative therapeutic drug discovery biotech that has developed a platform focused on targeted covalent drugs. This novel proprietary platform allows screening at a rate more than 100,000 times faster than competitive technologies and has the potential to expand the spectrum of drug targets to be screened for any disease process.

We are looking for a talented, experienced, and technical leader to be a key member of the scientific data architecture and engineering team. Reporting to the Head of Scientific Data Architecture and Engineering, you will bring expertise in data science, systems architecture, and software engineering. You will be tasked with helping to establish 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. If this role excites you, reach out to Totus today.

How You Will Contribute

  • Provide cheminformatics and computational chemistry support for on-going discovery and lead optimization projects
  • Lead development of a strategy for a Cheminformatics Platform
  • Collaborate with key stakeholders, including other data scientists, biologists, and chemists to understand, interpret datasets and apply the best computational methodology
  • Partner with the Platform Software Engineering team to build and deploy production analysis tools to the Cloud.
  • Be a critical and agile team member focused on cheminformatics and molecular modeling methods development and application
  • Foster an environment of innovation and entrepreneurship to build, integrate and apply cheminformatics/computational tools and workflows
  • Work with chemical biology and chemistry to guide small molecule design and optimization
  • Collaborate closely with lab IT and Data Engineering
  • Champion Totus’ culture of embracing scientific excellence, agility, integrity with a sense of urgency and collaboration

What You Bring

  • PhD with 5 years of industry experience in computational chemistry, cheminformatics, data science, and drug discovery from early discovery to pre-clinical
  • Proven hands-on experience in developing and applying the latest methods in cheminformatics and small-molecule computation chemistry to drug discovery-focused activities
  • A strong publication a track record of new methods development is important
  • Expertise in molecular properties, pharmacophore modeling, fingerprint methods and predictive models building (random forest, Bayes classification etc.) is essential
  • A broad range of hands-on skills across many software platforms (OpenEye, Knime, Chemaxon, RDKit, Schrodinger etc.) is required
  • Experience across range of disease areas and in fields like proteomics and chemical biology is beneficial
  • Ability to communicate effectively with cross-functional teams, a collaborative ethos, and a track record of innovation and driving projects to completion
  • A deep desire to use data science to affect human lives and bring novel therapies to patients in need

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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