AI Driven Drug Discovery Research Intern

About the Role

The AI Driven Drug Discovery Research Intern role is focused on supporting pharma AI innovation projects, particularly in drug discovery research. This remote internship involves designing and executing research workflows that integrate pharmaceutical chemistry or pharmacology with bioinformatics or biotechnology.

Key Responsibilities

• Literature review
• Data collection and curation
• Preparation of datasets for AI/ML models
• Assisting in developing and validating proof-of-concept studies for AI-driven drug discovery
• Collaborating with cross-functional teams to interpret model outputs
• Analyzing biological and pharmacological relevance
• Documenting findings in research reports and presentations
• Maintaining research records
• Adhering to scientific and ethical standards
• Contributing ideas to improve drug discovery workflows and pharmaceutical process optimization

Requirements & Tech Stack

• AI/ML
• Python
• React
• PHP
• Node.js
• React Native
• Cloud-native architectures
• Pharma AI innovation
• AI-driven drug discovery proof-of-concept projects
• Optimization of pharmaceutical processes
• PSPM ERP Cloud (implied by company description serving sectors with this solution)

Qualifications

• Strong research skills, including literature review, experimental design, and data analysis in pharmaceutical or biomedical domains.
• Laboratory skills relevant to pharmaceutical chemistry, pharmacology, biotechnology, or related disciplines.
• Knowledge of oncology or other therapeutic areas, with an understanding of disease mechanisms and drug targets.
• Basic understanding of medicine and pharmacology, including drug action, dosage, safety, and regulatory considerations.
• Familiarity with clinical trials concepts such as study design, endpoints, and ethical guidelines.
• M.Pharm in Pharmaceutical Chemistry or Pharmacology with an additional M.Sc in Bioinformatics or Biotechnology (or equivalent combination of degrees).
• Exposure to AI/ML tools or bioinformatics software for handling molecular, genomic, or pharmacological datasets is an advantage.
• Proficiency in scientific writing, documentation, and presentation of research findings.
• Pursuing or completed M.Pharm in Pharmaceutical Chemistry, M.Pharm in Pharmacology, M.Sc in Bioinformatics, or M.Sc in Biotechnology.
• For Pharmaceutical Chemistry/Bioinformatics candidates: knowledge of molecular docking, ligand analysis, protein preparation, and computational drug discovery.
• For Pharmacology/Biotechnology candidates: knowledge of disease mechanisms, ADMET concepts, biological plausibility, and drug safety.
• This is a six-month, remote, unpaid research internship.