At Candoo Pharmatech, we specialize in formulation-driven, cost-effective drug delivery solutions that enable new and existing molecules to reach their full therapeutic potential. As a leading CDMO partner, we’re committed to accelerating development timelines for our global pharmaceutical and biotech clients, especially for difficult-to-formulate and high-barrier products across oral, topical, and long-acting injectable formats.
We’re expanding our innovation capabilities and seeking an AI/Machine Learning Scientist – Drug Development and Discovery to help shape the future of drug formulation, optimization, and scale up using cutting-edge data science tools.
What You’ll Do
- Model Complex Formulation Challenges: Use machine learning and generative AI to model and predict optimal formulation variables, excipient interactions, release kinetics, and stability profiles for complex drug products.
- Drive Innovation in Drug Delivery: Develop advanced algorithms to support novel and efficient formulation design, particularly for NDA, 505(b)(2), and ANDA projects including Paragraph IV strategies.
- Leverage Large Language Models (LLMs): Apply LLMs such as LLaMA, GPT, and other seq2seq architectures for tasks like formulation prediction, process optimization, and internal knowledge management.
- Collaborate Across Functions: Work closely with formulation scientists, analytical chemists, and project managers to translate data into actionable insights across development and manufacturing stages.
- Advance Internal Capabilities: Lead capability development in AI-driven modeling for formulation screening, scale-up predictability, and regulatory submissions, helping Candoo maintain its industry-leading turnaround time.
- Enable Smarter R&D: Apply predictive analytics and multivariate modeling to accelerate drug product development from pre-formulation to clinical and early commercialization phases.
- Communicate Clearly: Present findings to internal teams and clients. Translate complex computational outcomes into practical recommendations that guide formulation design and regulatory strategy.
Qualifications
Education & Experience
- Bachelor’s degree or higher in Computer Science, Data Science, Bioinformatics, Engineering, Pharmaceutical Sciences, or related field.
- Minimum 3–5 years of hands-on experience applying machine learning and AI in life sciences or pharmaceutical R&D.
- Proven experience with Applied Machine Learning, Generative AI, or Computational Chemistry.
Technical Expertise
- Proficient in programming languages such as Python, and SQL.
- Hands-on experience with ML/AI frameworks
- Proficiency in Large Language Models (LLMs) including LLaMA, GPT-style models, and sequence-to-sequence models for domain-specific applications.
- Experience with predictive modeling, natural language processing (NLP), and integration of formulation/process development data.
- Familiarity with QbD principles, design of experiments (DoE), and pharmaceutical manufacturing data.
Collaboration & Communication
- Strong cross-functional collaboration skills in R&D and client-facing environments.
- Ability to clearly articulate technical concepts and translate data-driven insights into business or scientific impact.
Preferred Qualifications
- Experience in AI-assisted formulation development or process optimization.
- Exposure to real-world evidence, clinical trial datasets, or regulatory submission data.
- Background in applying NLP to pharmaceutical documentation or CMC writing.
- Experience contributing to open-source AI projects or scientific software packages.
- Some knowledge of Drug delivery, pharmaceutical formulation, or related product development processes would be preferred.
Why Join Candoo Pharmatech?
- Be part of a customer-focused, innovation-driven CDMO at the forefront of advanced drug delivery.
- Contribute to first-to-file successes and FDA approvals for complex drug products.
- Work in a modern R&D and GMP facility in Mississauga, Ontario – Canada’s pharmaceutical hub.
- Collaborate with academic and industry partners
- Help define the future of AI-enabled pharmaceutical R&D in a fast-paced, entrepreneurial environment.
Job Type: Fixed term contract
Contract length: 12 months
Benefits:
- Dental care
- Life insurance
- Paid time off
- Vision care
Education:
- Bachelor's Degree (preferred)
Experience:
- Machine Learning and AI: 3 years (preferred)
Work Location: In person
