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We’re looking for a Cheminformatician

← View All Jobs  | October 24, 2021 | Expires December 31, 2021

Vancouver, Bc (Or Remote) / 4+ Yrs Experience / Full Time

Variational AI is working to redefine the unit economics of drug discovery. We are pushing the state-of-the-art in machine learning, integrated with cheminformatics expertise, to radically accelerate the development of promising drug candidates for diseases ranging from cancer to COVID-19. Our small team of machine learning researchers and chemists is challenging the status quo with our proprietary machine learning architecture, designed from the ground up to optimize the properties of small-molecule drugs. We are venture-backed and expanding.

We are looking for experienced cheminformaticians to join the team and make an impact. You will help us identify targets that are likely to benefit from our unique machine learning-based approach; construct datasets from high-throughput screens and other literature sources; develop and apply molecular docking protocols; build ligand- and structure-based pharmacophores; create other QSAR models; and evaluate ML-optimized molecules from a medicinal chemistry perspective. You will also help us more effectively incorporate pharmacological knowledge and intuition into our proprietary machine learning architecture. No knowledge of machine learning is required for this role, but you should possess a strong interest in learning about this promising technology, coupled with hands-on drug discovery experience.

  • Ph.D. or MSc. in chemistry or related disciplines with experience in cheminformatics.
  • Four or more years’ experience working in small molecule drug discovery in the pharmaceutical industry.
  • Expertise in virtual high throughput screening using techniques like docking and ligand- and structure-based pharmacophores, as well as ADMET modeling.
  • Expertise in Python, including packages such as RDKit, pandas, and scikit-learn.
  • Intellectual curiosity and drive to excel.
  • Familiarity with machine learning is preferred but not required.

We are an equal opportunity employer and enthusiastically welcome applications from women, BIPOC, and members of underrepresented communities and groups. Compensation is a competitive mix of cash and options. We prioritize expertise and passion over where you decide to live and work. Please send resumes/CVs to

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