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sonick suri

@sonicksuri

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Clinical trial enrollment leader at NeuroDiscovery AI who matches patients to neurology studies using real-world data.

India

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At NeuroDiscovery AI, I lead a six-member team matching patients to Alzheimer’s disease and focal epilepsy studies using real-world data. I translate trial eligibility criteria into selection rules and build cohort attrition funnels to identify enrollment-ready candidates.

I also designed Python and LLM-based pipelines to extract structured clinical variables from unstructured lab reports. I validate these outputs through human review, benchmarking PPV, sensitivity and F1.

Previously, I generated real-world evidence across neurology, multiple sclerosis, oncology, infectious disease and immunology. My work has included treatment-pattern and persistence analyses, claims-based forecasting inputs, and research shared through publications and conference abstracts.

Experience

Work history, roles, and key accomplishments

Current

Associate Director, Clinical Trial Enrollment & Implementation Sciences

Current

NeuroDiscovery AI

May 2026 - Present (5 months)

Lead a 6-member team translating trial eligibility criteria into data-driven selection rules on real-world data to identify and match patients for Alzheimer's disease and focal epilepsy studies. Designed and iterated Python/LLM-based extraction pipelines converting unstructured lab reports into structured clinical variables, validated via human-in-the-loop framework.

Python LLM Real World Data Electronic Health Records (EHR)Clinical Notes Lab Reporting Team Leadership Project Management Quality Control (QC)Data Quality Feasibility Enrollment Alzheimer Epilepsy

Senior RWE Analyst

NeuroDiscovery AI

Sep 2024 - May 2026 (1 year 8 months)

Analysed anti-amyloid therapy persistence using Kaplan-Meier time-to-discontinuation stratified by biomarker status. Led a retrospective study for a global pharmaceutical client comparing patient characteristics, treatment patterns and outcomes across DMT classes in multiple sclerosis, using an LLM pipeline with manual-review validation.

Kaplan Meier Survival Analysis RWE Alzheimer Multiple Sclerosis LLM Clinical Notes Treatment Patterns Healthcare Resource Utilization Relapse Incidence

Data Scientist II

Syneos Health

Jul 2023 - Sep 2024 (1 year 2 months)

Implemented interrupted time series models quantifying the impact of COVID-19 on RSV and influenza incidence. Generated inputs for a pharmaceutical revenue forecast model from medical and pharmacy claims and segmented HCPs into targeting tiers using IQVIA datasets.

Interrupted Time Series R Python SQL IQVIA Healthcare Claims Data HCP Segmentation Linear Regression Random Forest Chi Square Fisher'S Exact Test Wilcoxon

Associate Manager

Eli Lilly

Apr 2022 - Jul 2023 (1 year 3 months)

Conducted treatment pattern analyses and built descriptive IHD dashboards across the oncology portfolio to support launch planning, integrating MarketScan claims and Flatiron EHR data. Became the team's point of contact for R, supporting IHD–R integration for statistical analysis.

IHD R Market Scans Flatiron Electronic Health Records (EHR)Oncology Treatment Patterns Launch planning Dashboarding

Apprentice Leader

Mu Sigma

Jan 2022 - Mar 2022 (2 months)

Led a team of 5 defining the structure and process for a clinical trial interactive dashboard covering adverse event incidence, demographics and follow-up time. Optimized marketing spend across channels for a biopharmaceutical client using market mix models.

Team Leadership Clinical Trial Dashboard Marketing Mix Modeling Marketing Optimization

Trainee Decision Scientist

Mu Sigma

Dec 2018 - Dec 2021 (3 years)

Conducted 10+ RWE studies across cardiovascular and immunology indications using claims and EHR data, evaluating real-world drug value, treatment effects and expanded-indication potential for FDA submissions. Designed QC processes, reusable modules and business rules for error-free, reproducible delivery.