AI/ML Data Scientist

Key Skills: AI/ML,Python.

Roles & Responsibilities:

• Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics).
• Develop predictive algorithms for molecular design to accelerate lead optimization.
• Create computer vision systems for high-throughput screening image analysis and cellular phenotyping.
• Engineer digital biomarkers from wearable sensors for continuous patient monitoring.
• Implement advanced time-series analysis of real-time patient data to detect early efficacy signals.
• Design AI-powered patient stratification models to optimize trial design.
• Architect systems that harmonize diverse data types into unified analytical frameworks.
• Develop novel feature extraction techniques to enhance predictive power.
• Create visualization tools to present complex multi-modal insights to clinical teams.
• Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies.
• Present findings to scientific and business stakeholders with varying technical backgrounds.
• Publish innovative methodologies in top-tier scientific and AI/ML journals.
• Contribute to patent applications to protect novel AI/ML approaches.

Experience Requirement:

• 3. - 7 years of hands-on experience in AI/ML, preferably in biotech or pharma settings.
• Proven experience in developing machine learning models for omics data analysis, time-series modeling, or digital health.
• Experience in handling real-world healthcare datasets, including high-dimensional biological data.
• Exposure to applying AI for drug discovery, clinical data modeling, or biomarker development.
• Familiarity with model interpretability, explainable AI techniques, and regulatory aspects of AI in healthcare.

Education: B.Tech