AI ML in Drug Discovery / Cheminformatics - Scientist & Trainer
AI ML in Drug Discovery / Cheminformatics - Scientist & Trainer
Direct message the job poster from BioTecNika
CEO & Co-founder of Biotecnika & Trustee at IBioM Indian Biotech MSME
Job Description
Biotecnika Info Labs Pvt Ltd, a pioneer in the Bio-IT and Biotechnology space, invites applications from passionate and experienced professionals for the role of AI ML in Drug Discovery / Cheminformatics Trainer & Scientist. This hybrid role blends hands-on training, curriculum design, and research in the revolutionary domain of Artificial Intelligence, Machine Learning, and Computational Chemistry applied to Drug Discovery.
Name of the Post: AI ML in Drug Discovery / Cheminformatics - Scientist & Trainer
Number of Posts: 1
Expected Time to Join: Immediate
PhD in Cheminformatics / Computational Chemistry / Medicinal Chemistry / AI ML in Life Sciences / Drug Discovery (PhD preferred but Master’s with relevant experience can apply)
Experience Required: 1 to 5 years
Responsibilities:
1. Training & Project Work in AI ML and Drug Discovery
- Deliver interactive and practical sessions on AI ML applications in cheminformatics and drug.
- Guide hands-on assignments using cheminformatics and AI/ML tools.
- Mentor students on live research projects involving QSAR, molecular docking, virtual screening and data-driven compound analysis.
- Develop cutting-edge, industry-aligned training modules on cheminformatics, predictive modeling, and AI in drug design.
- Customize content for diverse learner groups from BSc/MSc to PhDs.
3. Research Contributions
- Engage in real-world cheminformatics and AI-driven drug discovery research.
- Collaborate with internal teams and external partners on publications and projects.
- Stay abreast of recent breakthroughs in deep learning, generative AI for molecules, and computational drug discovery.
- Provide personalized mentoring to project trainees and guide their research publications.
- Foster interdisciplinary collaboration across biology, chemistry, and computer science.
Qualifications:
- PhD or Master’s in Cheminformatics, Drug Design, Computational Chemistry, AI ML in Life Sciences.
- Proven experience in cheminformatics and molecular modeling tools.
- Strong publication or project portfolio in AI ML-driven drug discovery.
- Excellent communication and mentoring skills.
- Ability to design independent projects and execute them with academic or industrial relevance.
Desired Skills:
- Drug Discovery Skills: Ligand-based & Structure-based design, QSAR, molecular docking, ADMET prediction, lead optimization.
- AI/ML Proficiency: Python, R, TensorFlow, PyTorch, Scikit-Learn, Keras, NLP for bioactivity data mining, generative models (e.g., SMILES-based RNN/Transformer models)
- Data Handling Handling large chemical libraries, database creation (ChEMBL, PubChem), similarity searching, clustering
- Visualization & Deployment: Dash, Plotly, Flask, Google Colab, Streamlit
- Databases: SQL, MongoDB, integration with compound and bioactivity databases
Why Join BioTecNika Info Labs Pvt Ltd?
At Biotecnika, you’ll be working in an ecosystem that values innovation, learning, and purpose-driven work. Supported by biotech leaders and venture capitalists, Biotecnika offers:
- Freedom to innovate and build real-world solutions
- Opportunity to mentor budding scientists globally
- Flexible and human-first work environment
- Career growth in the booming Bio-IT & AI space
Whether you're a passionate scientist, an inspiring educator, or a tech-savvy innovator – your next career milestone begins here.
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