{"id":2770927,"url":"https://alion.io/job/quantzig-ai-data-science-lead-pharmalife-sciences-domain","title":"AI & Data Science Lead - Pharma/Life Sciences Domain","company":{"id":3800126,"name":"Quantzig","domain":"quantzig.com","url":"https://alion.io/company/quantzig","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Computer Vision","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-09-24T06:29:22Z","employer_posted_date":null,"last_verified_at":"2026-09-24T06:29:22Z","board_verified":false,"closed_at":null,"days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Role : AI & Data Science Lead (Pharma/Life Sciences)\n\nExperience : 7+ years\n\nLocation/Mode : Bangalore, WFO (Hybrid)\n\nMust Have Skills : \n\n- 7+ 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.\n\n- 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.\n\n- 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.\n\n- GenAI & LLM Architecture : Proven experience designing and implementing GenAI workflows (RAG, Agentic Frameworks, Prompt Engineering) for insight extraction, summarization, or decision-support tools.\n\n- 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.\n\n- 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).\n\n- Technical Stack : Advanced proficiency in Python and SQL; 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