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 seeking an innovative scientist with experience in computational chemistry and cheminformatics. Reporting to the Director - Computational Ligand-Protein Modeling, you will be expected to drive and influence molecular design approaches by applying state of the art computational chemistry science including but not limited to structure based design, in silico screening and library elaboration. Of particular importance is your ability to build strong working interactions with medicinal chemists. 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 Medicines today.

In this role you will have: 

  • Ph.D. with 3+ years of industry experience in computational chemistry and protein-ligand modeling spanning early discovery to pre-clinical phases
  • A proven track record of using computational techniques to help drive drug discovery projects through hit identification and lead optimization across a range of therapeutic areas
  • Expertise and hands-on experience in applying the latest methods in protein modeling, small-molecule high throughput docking, scoring functions, structure-based drug design and virtual screening with an emphasis on molecular simulations, interaction fingerprints, molecular dynamics, and semi-empirical solvation methods
  • Experience with a broad range of software platforms like Schrodinger, OpenEye, Molsoft, Amber, Dock and AlphaFold 2.0
  • 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

Responsibilities:

  • Actively drive efforts for structure-based design in support of hit identification and lead optimization projects
  • Work in close partnership with medicinal chemists as a united compound design team to improve potency, selectivity, and ADME properties while minimizing toxicological risk.
  • Collaborate with key stakeholders, including other data scientists, biologists, and chemists to understand, interpret datasets and apply the best computational methodology
  • Be a critical and agile team member focused on drug discovery using structure-based methods
  • 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
  • Champion Totus’ culture of embracing scientific excellence, agility, integrity with a sense of urgency and collaboration

 

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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