Athul Anand

Clinical data professional with 6+ years of combined experience across clinical data analysis, medical device R&D, and clinical practice, specializing in data integrity, protocol-aligned data review, and quality-focused documentation in GCP-governed environments. Doctor of Pharmacy with hands-on experience in oncology real-world data curation (ConcertAI), medical device research and design documentation (MedResearch), and AI-assisted clinical data abstraction (HRB Research Fellowship, University of Galway). Advanced proficiency in Python, R, and SQL for data cleaning, reconciliation-style validation, and study reporting — listed by Artivion as a preferred plus.

Foundational working knowledge of FDA and EU MDR regulatory frameworks, with a strong track record of cross-functional collaboration, mentoring, and process improvement.

Research Fellow — Clinical Data Abstraction & NLP at HRB / University of Galway (2026-01 – Present)

• Spearheaded an end-to-end clinical data abstraction workstream, delivering structured, analysis-ready datasets from unstructured hospital records, by designing and deploying locally hosted large language model (LLM) pipelines with per-field confidence scoring.
• Safeguarded patient data privacy and GDPR-aligned data integrity, ensuring no records left the hospital network, by architecting a fully local AI processing environment.
• Strengthened data quality assurance, as measured by defined extraction-accuracy benchmarks, by building annotated gold-standard datasets and human-in-the-loop review workflows for clinical validation.
• Accelerated clinical review cycles by designing an interactive data review interface — abstracted-data tables linked to source documents with text-span highlighting — enabling reviewers to trace every data point to its source.
• Streamlined recurring reporting by engineering automated Python pipelines (GitHub Actions, LLM APIs) that deliver structured daily digests without manual effort.

Clinical Data Analyst — Oncology at ConcertAI (2024-01 – 2025-12)

• Delivered consistently high-accuracy, high-volume curation of real-world oncology data across breast and lung cancer cohorts, earning a company-wide team appreciation award, by applying rigorous protocol-aligned review and structured quality checks.
• Protected data integrity from source to final dataset, as evidenced by sustained quality metrics, by performing systematic data validation, discrepancy identification and resolution, and documentation aligned with healthcare data-governance standards.
• Improved abstraction guidelines and team processes by partnering cross-functionally with QC and analytics teams to resolve recurring data quality issues.
• Supported onboarding of newer team members, contributing to team capability, by sharing oncology domain knowledge on biomarker documentation, treatment histories, and outcomes data.

Research & Development Specialist at MedResearch India (2021-06 – 2023-12)

Advanced data-driven medical device research projects, contributing to the design and production of a vacuum therapy device, by executing structured, protocol-based analysis and systematic problem solving.

• Authored research documentation and interpreted test outcomes in a regulated healthcare environment, supporting design verification and validation-style documentation practices.

Clinical Pharmacologist Intern — Oncology at HCG Hospital (2022-06 – 2022-09)

• Documented chemotherapy-related adverse effects and supported clinical case reviews, building first-hand understanding of source data capture, treatment monitoring, and clinical workflows.

MSc in Applied Clinical Data Analytics – University of Galway (2025-01)

Doctor of Pharmacy (Pharm.D) in Pharmacy – Devaki Amma Memorial College of Pharmacy (2024-01)