AI Specialist – Remote in Winnipeg

AI Specialist – Remote in Winnipeg

Winnipeg Full-Time 95000 - 115000 $ / year (est.) Remote
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At a Glance

  • Tasks: Lead AI integration in drug discovery, helping scientists streamline their research processes.
  • Company: Join IntuitionLabs, a leader in AI for biotech and pharma innovation.
  • Benefits: Enjoy a competitive salary, fully remote work, and flexible hours.
  • Other info: Collaborate with industry experts and receive structured training on advanced AI tools.
  • Why this job: Make a real impact in the biotech field while working with cutting-edge AI technologies.
  • Qualifications: PhD in relevant field and experience in drug discovery or preclinical development.

The predicted salary is between 95000 - 115000 $ per year.

IntuitionLabs helps biotech and pharmaceutical companies put AI to work across research, regulatory, clinical, quality and business teams. Our clients are biotech and pharmaceutical companies across North America. We run company-wide AI programs month by month: training, platform setup, and working tools built with each department.

This is a remote position with flexible hours. Candidates based in Canada or the United States are preferred. We are building a full-time delivery team of people from the industry who use AI every day. This role joins that team, reporting to our Head of Delivery.

What you will do

  • Lead the research and preclinical month of our programs at each client: map how scientists find, analyse and report their data today, measure the time it takes, and build AI workflows the team keeps using.
  • Show chemists, biologists and preclinical scientists how to search internal files and the literature by target, disease, compound or endpoint with AI, with every answer traced to its source.
  • Help build scientific knowledge platforms that connect sources such as Box, SharePoint, Benchling and the published literature, including how conflicting data and compound aliases are resolved.
  • Build workflows for recurring scientific work: literature and competitive landscapes, assay and study summaries, report and slide preparation, sections feeding an IND.
  • Build and teach training material in our Academy: workshops, guides and short videos.
  • Answer client questions through our help desk and office hours, and keep the monthly scorecard current.
  • Work alongside a network of senior specialists in regulatory, CMC, clinical, medical and data science.

What you bring

  • A PhD in chemistry, biology, pharmacology or a related field, followed by 3 to 8 years in drug discovery or preclinical development at a biotech, pharmaceutical company or CRO.
  • Hands-on experience in one or more of: medicinal or computational chemistry, assay biology, protein or antibody science, DMPK, toxicology.
  • Flawless written and spoken English.
  • Daily use of AI tools in your own work, and clear views on where they fail.
  • The ability to teach experienced scientists without talking down to them.
  • Comfort with data: scripting in Python or R is an asset.
  • Availability for some meetings on Eastern and Pacific time.

What we offer

  • Fully remote, with flexible hours.
  • Salary CAD 95,000 to 115,000.
  • Structured training on Claude, ChatGPT and agentic tools from the first week.
  • Direct work with the founder, the Head of Delivery and senior industry specialists.
  • Work that changes how drug discovery teams find and use what they already know.

AI Specialist – Remote in Winnipeg employer: IntuitionLabs

IntuitionLabs is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to work directly with industry leaders while managing impactful AI programs in the biotech and pharmaceutical sectors. With flexible hours and a fully remote setup, employees enjoy a healthy work-life balance and ample opportunities for professional growth and development in a cutting-edge field.

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Contact Details:

IntuitionLabs Recruitment Team

We think you need these skills to ace AI Specialist – Remote in Winnipeg

AI Workflow Development
Data Analysis
Scientific Knowledge Platforms
Literature Review
Assay and Study Summaries
Training Material Development
Client Communication