Experience
5 - 8 yrs
Job Location
Not specified
Vacancy
1
Designation
Lead Scientist
Job Type
ONSITE
Job Description
Key Responsibilities
- Develop and deploy AI/ML models to support:
- Clinical trial design and optimization
- Patient recruitment and stratification
- Site selection and enrollment prediction
- Clinical outcome and risk prediction
- Protocol optimization and operational efficiency
- Apply NLP, LLMs, and knowledge mining to analyze:
- Scientific literature
- Clinical trial databases
- Publications, patents, and conference abstracts
- Competitor pipelines and market intelligence
- Build competitive intelligence platforms to monitor therapeutic landscape, emerging technologies, clinical readouts, and competitor strategies.
- Generate predictive insights for portfolio prioritization, indication expansion, and go/no-go decisions.
- Develop automated AI workflows, dashboards, and data pipelines for clinical and strategic analytics.
- Collaborate with clinical development, medical affairs, regulatory, translational science, and business strategy teams.
Qualifications
- MS/PhD in AI, Machine Learning, Data Science, Bioinformatics, Biostatistics, Computational Biology, or related field.
- 5-8+ years of experience in AI/ML, clinical analytics, healthcare, pharmaceutical, or biotech R&D.
Technical Skills
- Strong expertise in machine learning, predictive modeling, NLP, LLMs, and data mining including retrieval-augmented generation (RAG) and LLM fine-tuning/prompt engineering for scientific and clinical text.
- Proficiency in Python, SQL, and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Experience with clinical trial datasets, real-world data (RWD/RWE), medical literature mining, and competitive intelligence platforms.
- Experience with knowledge graphs, vector databases, and AI agents.
- Familiarity with clinical development, regulatory processes, and pharmaceutical R&D.
Core Competencies
- Strong analytical thinking and strategic mindset.
- Ability to convert large datasets into actionable clinical and business insights.
- Strong communication and cross-functional collaboration skills.