AI Lead

Quantzig AI Solutions India Private Limited; Bengaluru; Hybrid; INR 4,200,000 - 6,400,000; Full time

Job summary

Quantzig AI Solutions India Private Limited in Bangalore (Hybrid) seeks an AI & Data Science Lead for Pharma/Life Sciences with 7+ years of leadership experience. You will guide AI roadmaps, design advanced models, and leverage patient-level data to influence commercial and medical decisions.

The role emphasizes GenAI workflows, stakeholder management, and end-to-end product lifecycle, including MLOps, with senior leadership collaboration and impactful data visualizations.

Qualifications

• 7+ years in Data Science & AI leadership, with Pharma/Life Sciences focus.
• Hands-on with patient-level data (claims, EHR/EMR, Rx, cohorts).
• Expertise in causal inference to distinguish impact from correlation.
• GenAI workflows (RAG, agent frameworks, prompts) for insights.
• Translate complex business questions into AI roadmaps and visualizations.
• End-to-end AI product lifecycle with MLOps and monitoring.

Responsibilities

• Lead an AI/Analytics product from discovery to production rollout.
• Build scalable cloud-based solutions for pharma data.
• Partner with senior leadership to define AI roadmaps and dashboards.
• Mentor junior DS talent in fast-paced launch environments.

Skills

Data Science Leadership

Pharma/Life Sciences

Patient-level data

Advanced Modeling

Causal Inference

GenAI & LLM

AI Roadmaps

MLOps

Python

SQL

Cloud Platforms

Visualization

Job description

Role: AI & Data Science Lead (Pharma/Life Sciences)

Experience: 7+ years

Location/Mode: Bangalore, WFO [Hybrid]

Must Have Skills

• 6+ years in Data Science & AI Leadership: Extensive experience in Advanced Analytics, specifically within Pharma or Life Sciences, showing a clear evolution from classical DS to AI-driven solutions.
• Expertise in Pharma Data Ecosystems: Deep hands-on experience with Patient-level data (Claims, EHR/EMR, Rx, Longitudinal Cohorts, HCP and Patient Master) and an understanding of data sparsity/biases.
• Advanced Modeling & Causal Inference: Mastery of supervised/unsupervised techniques (Regression, Clustering, Segmentation, Propensity) with a strong focus on Causal Inference to distinguish "correlation" from "impact" in commercial/medical decisions.
• GenAI & LLM Architecture: Proven experience designing and implementing GenAI workflows (RAG, Agentic Frameworks, Prompt Engineering) for insight extraction, summarization, or decision-support tools.
• Strategic Roadmap & Stakeholder Management: Ability to translate complex HCP/Patient business questions into structured AI Roadmaps and high-impact visualizations (Power BI / Tableau) for senior leadership.
• End-to-End Product Lifecycle: Experience leading an AI/Analytics product from problem discovery and MVP design through to production rollout and MLOps (monitoring for model drift and accuracy).
• Technical Stack: Advanced proficiency in Python and SQL; experience building scalable solutions on Cloud platforms (Databricks, Snowflake, AWS, or Azure).

Good to Have

• Therapeutic Area Depth: Prior work in CV/Metabolic, Oncology, Immunology, or Rare Diseases, including patient journey mapping and payer/access dynamics.
• Commercial Strategy: Experience using analogue launches to inform Field-force design, Launch strategy, and Patient-funnel optimization.
• AI Governance: Familiarity with Data Privacy (HIPAA/GDPR) and ethical AI guardrails within a regulated Pharma environment.
• Advanced Analytics: Exposure to Uplift modeling and Reinforcement Learning for personalized engagement strategies.

Soft Skills

• Strategic Business Acumen: Can bridge the gap between technical AI capabilities and Senior Commercial/Medical objectives.
• Exceptional Storytelling: Ability to communicate complex data narratives to non-technical stakeholders with clarity and persuasion.
• Ownership & Mentorship: High degree of accountability and the ability to guide junior DS talent through ambiguous, fast-paced launch environments.