Clinical Data & Computational Biology Specialist with over 8 years of cross-functional industry experience bridging advanced biostatistics, cloud data architectures, and molecular analytics. Proven track record leading l…
Clinical Data & Computational Biology Specialist with over 8 years of cross-functional industry experience bridging advanced biostatistics, cloud data architectures, and molecular analytics. Proven track record leading large-scale statistical initiatives, engineering end-to-end data pipelines (AWS/GCP), and optimizing bioprocess workflows. Expert at converting complex multi-omic, clinical trial, and real-world health datasets (5,000+ patient records) into high-impact operational insights and predictive models for international stakeholders.
<p>Led computational biology projects using Python and R to scale high-throughput sequence analysis and CRISPR-Cas9 genome engineering architectures.<br>
Designed predictive molecular docking simulations and automated bioprocess workflows, improving testing pipeline efficiency by 40%.<br>
Developed scientific data visualization and analytics tools, combining custom software development with wet-lab experimental data tracking.<br>
Conducted statistical modeling and protein optimization assays, facilitating robust data storytelling and clinical evidence translation.</p>
<p>Engineered end-to-end cloud ETL pipelines in AWS/GCP ecosystems, reducing data preparation times by over 60% to accelerate operational analytics.<br>
Fine-tuned and deployed NLP transformers via OpenAI API frameworks, increasing structural moderation precision by 15% to mitigate platform risk.<br>
Created and scaled distributed PySpark ETL pipelines to automate sentiment analysis, enabling real-time product feedback loops across cross-functional teams.<br>
Spearheaded large-scale A/B testing initiatives on core engagement features, realizing a 40% increase in active user interactions through behavioral insights.</p>
<p>Deployed biostatistical analysis across an institutional database of 5,000+ patient records, ensuring strict confidentiality and source documentation standards.<br>
Extracted actionable therapy efficacy patterns and biomarker trends, validating historical oncology treatment outcomes for clinical trial review boards.<br>
Worked within a multidisciplinary healthcare environment, requiring meticulous data documentation, analytical accuracy, and interpretation of experimental results.<br>
Translated complex clinical data into evidence-based metrics to support executive scientific decision-making and research evaluation.</p>
<p>Engineered automated database tracking dashboards using SQL and Python to isolate and analyze regional telecommunications infrastructure service faults.<br>
Built interactive Power BI dashboards for KPI tracking and network health monitoring, increasing operational workflow efficiency by 20%.<br>
Provided predictive data solutions to cross-functional engineering teams, allowing proactive infrastructure resolution before customer service impact.<br>
Translated complex technical metrics into scannable reports, supporting executive stakeholders in high-capital business decisions.</p>
<p>Engineered a computational framework to analyze High-Speed Video Microscopy (HSVM), mapping spatiotemporal ciliary beat patterns and metachronal wave propagation for Cystic Fibrosis diagnostics.</p><p> Implemented Fast Fourier Transform (FFT) and phase extraction algorithms to model 2D harmonic waves, quantifying tissue-scale functional heterogeneity and frequency variation across patient cultures.</p><p> Evaluated site data-collection compliance pathways to ensure total alignment with clinical study protocols and global ICH/GCP data-integrity guidelines.</p><p> Collaborated across academic and biotech industry environments with Miltenyi Biotec, translating intricate biological regulatory concepts to multidisciplinary audiences.</p>
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