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 a candidate with skills to lead Software Engineering. Reporting to the Head and VP of Data Architecture and Engineering, you will be part of a functionally integrated team, bring expertise in advanced software engineering for large-scale life science data systems. We are ideally looking for someone to be part of a world-class scientific data platform to drive forward drug discovery 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.

What you bring:

  • B.Sc. or M.Sc. in software development with 5+ years of industry experience of software engineering in a research IT life science setting
  • Demonstrated ability to reliably develop and implement efficient and robust data pipelines, experience with managing an AWS environment, and a track record of experience with open source platforms
  • Execute the design and delivery of world-class software and middleware solutions and maintain documentation for software, middleware, and QA processes
  • Ability to independently create high-quality and well-structured software solutions using Python and SQL
  • Familiarity deploying software solutions to AWS and integrating with various AWS services
  • Experience creating and programming with relational, NoSQL, and graph data models
  • The ability to create web UIs via React, Vue.js, or low code frameworks is a plus
  • Knowledge or familiarity of life science research data types (biological and chemical), ‘omics data, life science platforms is important
  • Adaptability and eagerness to troubleshoot or adjust to scientific changes as necessary
  • Ability to communicate effectively with cross-functional teams and contribute to critical decision making
  • Big picture thinking with an enthusiasm to drive data science methods forward and work collaboratively to help develop novel therapies for patients

Responsibilities:

  • Establish a strategy focused on building out a scaled scientific software platform to support data analytics, data modeling and knowledge capture
  • Provide technical leadership, strategy, and expertise in all aspects of software engineering and Big Data analysis pipelining
  • Create an environment of innovation and entrepreneurship that enables a scalable software architecture to support all scientific data across the organization
  • Provide hands-on system design, development and execution of software systems and overall systems architecture support for the organization
  • Interact and form close and interactive partnerships with key stakeholder groups, including chemistry, biology, computational chemistry, ML scientists and IT functions
  • Provide mentorship and development of the team and contribute to building a culture that embraces scientific excellence and 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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