Location: Remote or Hybrid (Flexible)
Position: Internship (Ideal for Students/Early-Career Professionals)
About Us:
At Excipy, we're leveraging AI, particularly deep learning, to revolutionize pharmaceutical formulations for genetically influenced rare diseases. Our platform predicts drug-excipient compatibility at a molecular level, enabling personalized medication for patients whose needs are typically underserved.
What You’ll Do:
We're looking for an intern who's ready to dive deep into GCNNs and chemical informatics. You'll work hands-on with our core AI-driven formulation platform, directly contributing to model development and validation. You’ll have real responsibilities, designing and fine-tuning models that help us understand complex chemical interactions and their implications in genetically targeted treatments.
Must-Haves:
- Hands-on experience or demonstrated knowledge of GCNN, RDkit, ChemAxon, etc
- Understanding major chemical libraries including Zinc, Pubchem, and ChemBL
- Solid grasp of chemistry fundamentals (think: chemistry major, chem-informatics enthusiast, or someone comfortable navigating molecular structures)
- Familiarity with Python and common deep learning frameworks (PyTorch, TensorFlow, DeepChem) including GCNN, LLM, CNN, Diffusions, etc
Nice-to-Haves:
- Previous exposure to pharmaceutical applications or bioinformatics
- Experience with genetic data or pharmacogenomics
Why Join Excipy?
- You'll play an integral role at the intersection of AI, chemistry, and genetic medicine.
- Your work will have a tangible impact on patients with rare genetic conditions.
- Gain mentorship from experts in pharmaceutical AI, genetics, and chemical informatics.
If you're excited about building next-generation deep learning models that have real-world pharmaceutical applications and are sure to be implemented, we want to hear from you. Send your CV and a short note explaining why this role resonates with you.