HEALTHCARE × AI × STRATEGY

Anya Sikri

Building AI for healthcare & life sciences.

Product at Qualified Health, building the infrastructure health systems need to deploy generative AI safely. UC Berkeley Data Science & Bioengineering alum; previously at Rigel Pharmaceuticals, PwC, and Abbott.

7
Industry & research roles
200+
Pharma patents mapped
60+
Health-tech startups evaluated
8
M&A targets assessed

01 — FOCUS

Three ways into the same problem

01 / BUILDER

GenAI for Health Systems

Product and engineering for AI on clinical data — patient safety narratives from structured data, LLM eval infrastructure, and governance that keeps genAI honest in regulated settings.

Qualified Health · Rigel Pharmaceuticals · PwC

02 / SCIENTIST

Bench-to-Data Biology

Cancer drug screening with patient-derived organoids, scRNA-seq pipelines, and ML models on real patient datasets — where the biology meets the data.

Innovative Genomics Institute · UCSF · Stanford

03 / OPERATOR

Biotech Strategy & Investing

Due diligence on pharma acquisitions, biotech equity research across drug cycles, and matching health-tech startups with the right investors.

Abbott · Ishara Investments · Health Engine

02 — CASE HISTORY

Experience

QH

Product Manager

Jul 2026 - Present
Qualified Health

Product for enterprise generative AI in health systems — building the governance, monitoring, and deployment infrastructure that lets hospitals put genAI to work safely at scale.

Product StrategyGenAI GovernanceHealth Systems
Rigel Pharmaceuticals logo

Engineer

Aug 2025 - Jul 2026
Rigel Pharmaceuticals

Built an AI-powered system that auto-generates patient safety narratives from structured clinical data, cutting manual drafting time. Deployed using AWS for clinical team.

PythonOpenAI APIAWSSQLite
Health Engine logo

Analyst

Dec 2024 - Present
Health Engine

UC Berkeley's healthcare startup accelerator. Building semantic search engine using vector embeddings and FAISS to match startups with investors, while evaluating 60+ cohort startups for product-market fit

PythonMongoDBFAISSSentenceTransformer
PwC logo

Engineering Intern

Summer 2025
PwC

Deployed LLM eval infrastructure on SageMaker to benchmark model performance across accuracy, hallucination rate, latency, and more; pipeline processed 100+ test cases and informed model selection from Bedrock catalog.

AWS BedrockSagemakerAirflowdbt
Ishara

Tech Research Analyst Intern

Aug - Dec 2025
Ishara Investments

Analyzed 20+ public biotech equities, built investment dashboard and financial models to identify drug cycle inflection points, synthesizing FDA filings into actionable investment memos

Financial ModelingSQLResearch
Abbott logo

Data Science & Strategy Intern

Aug - Dec 2024
Abbott

Led due diligence on 8 pharma acquisition targets, building valuation frameworks and presenting scorecards that synthesized clinical, financial, and competitive data

PythonSQLTableauFinancial Analysis
Stanford Clinical Research (SCCR) logo

Data Science Intern

Summer 2023
Stanford Clinical Research (SCCR)

Mapped competitive landscapes across 200+ pharmaceutical patents, identifying whitespace in therapeutic areas to inform AI-driven drug development strategy

PythonData AnalysisMarket Research

03 — CAMPUS

The Berkeley Chapter

Where I grew

Clubs & Organizations

Healthcare consulting for Bay Area health-tech companies and healthcare organizations

HE

UC Berkeley's healthcare startup accelerator, supporting 60+ health-tech startups

DS

Organized workshops and led a team of 8 on ML competition projects

Research & Academic

Quantitative Biology Intern

Cancer drug screening research using patient-derived organoid models. Built data processing pipelines for fluorescence analysis, developed automated cell-sorting tools, and applied clustering/dimensionality reduction to identify treatment effects on cell behavior.

PythonFlowJoscRNA-seqClustering
UCSF Singhal LaboratoryAug 2022 - Jan 2023

Data Science Research Intern

Analyzed 20 COVID-19 genetic datasets to identify disease variable correlations. Built ML model to forecast seizures in COVID-19 patients with 80% accuracy. Presented findings to neurologists and researchers.

PythonMLKNN ImputationDimensionality Reduction

04 — GET IN TOUCH

Let's Connect

Always open to interesting conversations and opportunities.

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