Chemical data scientist

Variational AI

$80K — $120K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S., M.S., or Ph.D. in data science, statistics, computer science, or related discipline.
  • B.S., M.S., or Ph.D. in chemistry or related discipline.
  • Experience in analyzing messy datasets.
  • Demonstrated skill in chemical informatics, especially dataset aggregation and curation.
  • Strong programming skills in Python and familiarity with cheminformatics libraries like RDKit.
  • Two or more years' experience in small molecule drug discovery preferred.
  • Intellectual curiosity and drive to excel.

Responsibilities

  • Identify, curate, and prepare diverse datasets for analysis.
  • Characterize errors and noise in datasets, developing techniques for filtration and cleaning.
  • Analyze and integrate chemical data into machine learning algorithms by designing data loaders.
  • Develop ligand- and structure-based featurizations for datasets.
  • Apply traditional cheminformatics techniques effectively.

Benefits

  • Remote work options available for candidates in Canada.
  • Hybrid work environment for Greater Vancouver Area residents.
  • Opportunity to collaborate with accomplished ML scientists and chemists.
  • Focus on professional development and skill-building in a supportive team.
  • Competitive compensation aligned with experience and potential impact.
Full Job Description
VANCOUVER, BC (OR REMOTE IN CANADA) / FULL TIME

We are searching for a chemical data scientist / cheminformatician to join us in our quest to radically accelerate the development of new drugs through machine learning excellence. You will help:
  • identify, curate, and prepare datasets, ranging from potency and ADMET to gene expression and cell painting;
  • characterize errors and noise in datasets, and develop techniques to filter and clean them;
  • analyze curated datasets and integrate chemical data into our machine learning algorithms by designing data loaders;
  • develop ligand- and structure-based featurizations; and
  • apply traditional cheminformatics techniques.

In this process, you will have the opportunity to build your skills by collaborating with our team of accomplished ML scientists, computational chemists, and medicinal chemists.

Here is the background we're looking for:
  • B.S., M.S., or Ph.D. in data science, statistics, computer science, physics, or related discipline, with experience analyzing messy datasets; and
  • B.S., M.S., or Ph.D. in chemistry or a related discipline, with experience in cheminformatics.
  • Demonstrated skill with chemical informatics including the aggregation, curation, and preparation of large experimental datasets from multiple sources.
  • Strong programming skills in Python and experience with cheminformatics libraries and data analysis tools, including RDKit, Matplotlib, pandas, and seaborn. SQL experience preferred.
  • Two or more years' experience working in small molecule drug discovery is preferred.
  • Intellectual curiosity and drive to excel.


Compensation is a competitive mix of cash and options. We aim to offer competitive compensation aligned with each candidate's experience, impact potential, and location. We prioritize expertise and passion over where you decide to live and work; however, for collaboration across our team, applicants must be based in North American time zones. For those candidates that live in the Greater Vancouver Area, we offer a hybrid work environment.

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