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Hire Adil H.

Spain

USD 30 /hr

Clinical Data Scientist | RWE · ML · Survival Analysis · NGS Bioinformatics · GCP | Q1 Publication

Profile Summary

Clinical Data Scientist specialising in Real World Evidence (RWE) and machine learning applied to clinical data. I work with real-world Electronic Health Records (EHR) to build end-to-end analytical pipelines — from raw longitudinal data to actionable clinical insights. My work spans two complementary methodologies: supervised ML for clinical prediction (XGBoost, scikit-learn, SHAP, Optuna, probability calibration) and time-to-event survival analysis (Kaplan-Meier, Cox Proportional Hazards, lifelines). Both applied to real patient cohorts, not academic datasets. Recent work includes an ML pipeline for annual asthma poor-control prediction (ROC-AUC 0.82, 304,483 patient-year records) and a survival analysis of biological treatment outcomes in severe asthma — covering time to biological initiation, exacerbation, hospitalisation, and treatment failure. This work contributed to a Q1 publication in Respiratory Research (2026). Additional experience in clinical trial data management, CRF design, query resolution, Good Clinical Practice (GCP), and sample size calculation for clinical research protocols. Additional background in NGS bioinformatics, including end-to-end RNA-seq and RIP-seq pipelines (HISAT2, Bowtie2, DESeq2, MACS3, clusterProfiler) applied to real experimental data in S. cerevisiae*. Comfortable with the full workflow from raw FASTQ to differential expression and functional enrichment analysis.* Core stack: Python · R · SQL · XGBoost · lifelines · SHAP · Optuna · pandas · Git · Docker · Conda · Bioconductor · DESeq2 · HISAT2 · Bowtie2 · Snakemake Open to projects in: RWE studies · clinical prediction modelling · survival analysis · EHR data analysis · biostatistics · clinical trial data management · RNA-seq analysis · differential expression · NGS pipelines

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Omics
• ☆ Genomics
• ☆ Next Generation Sequencing (NGS)
• ☆ RNA Sequencing
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Python
• ☆ SQL
• ☆ R
• ☆ Scikit-learn
• ☆ Clinical Trials
• ☆ Clinical Trials Data Analysis
• ☆ Public Health
• ☆ Epidemiology

Services

• Research
• Consulting
• Data & AI

Research Feasibility Study, Scientific and Technical Research, Secondary Data Collection

Consulting Healthcare Consulting, Scientific and Technical Consulting, Regulatory Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Data Cleaning, Data Processing, Data Insights

Work Experience

Data Analyst | Data Scientist

Marqués de Valdecilla University Hospital

- Present

BIoinformatician

Functional Biology and Genomics Institute

September 2024 - December 2024

Education

Master of Engineering in Bioinformatics

murcia university

September 2023 - July 2024

Degree in Biotechnology

murcia university

September 2019 - July 2023

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

García-Rivero JL, Hannaoui Anaaoui A, Pallarés-Sanmartín A, Blanco-Aparicio M, García-Hernáez R, García-Gallardo Sanz V, Calvo-Álvarez U, Carazo-Fernández L, Hermida-Valverde T, Dorronsoro S, et al. (2026). Multidomain clinical and biological remission with tezepelumab in severe asthma: a 12-month multicentre real-world study . Respiratory research.