Elias S.
Manager of Bioinformatics | Clinical NGS | Translational & Computational Genomics
- Role
- Manager, Clinical Bioinformatics at Cedars-Sinai
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Elias S.
As a senior computational scientist with 15+ years of experience across world-class research institutions and biotech companies, I specialize in leading cross-functional bioinformatics programs that transform complex biological data into actionable insights for diagnostics, therapeutics, and translational research.My expertise spans the full stack of bioinformatics, from algorithm development and statistical modeling to large-scale genomics data processing (WGS, RNA-seq, ATAC-seq, single-cell, ctDNA) and clinical pipeline deployment. I’ve led multidisciplinary teams, built scalable workflows in cloud and HPC environments, and translated R&D discoveries into products with real-world clinical impact.Previously, I’ve held research positions at Harvard Medical School, Stanford, UCSF, Oxford, and Scripps — working at the intersection of genomics, systems biology, and machine learning. My work has contributed to high-impact publications, NIH-funded collaborations, and diagnostic assay development.I’m passionate about bridging the gap between data science and human health.
Experience
Manager, Clinical Bioinformatics
Jan 2024 — Present · Los Angeles, CA, US
Design, develop, implement, and maintain robust bioinformatics pipelines for NGS and other clinical genomics services.•Build and optimize tools for data mining, quality control, and automation of analysis, reporting, and QC workflows.•Partner with faculty, variant scientists, and lab operations teams to deliver timely, high-quality clinical results.•Evaluate emerging technologies, recommend strategic service expansions, and lead process improvement initiatives.•Serve as project manager for cross-functional initiatives, aligning deliverables with operational and business priorities.•Lead and contribute to the development of new testing capabilities across divisional and interdepartmental teams.•Stay at the forefront of bioinformatics, computational biology, and clinical genomics to integrate innovative algorithms and tools.
Education
Pierre and Marie Curie University
Data Engineer, Computer Science
2009 — 2011
Université Paris-Sorbonne
Bachelor’s Degree, History and Philosophy of Science and Technology
2005 — 2006
Pierre and Marie Curie University
Bachelor’s Degree, Computer Science
2006 — 2009
Stanford University School of Medicine
Postdoctoral Fellow, Computational Biology
Harvard Medical School
Postdoctoral Research Fellow, Biomathematics, Bioinformatics, and Computational Biology
Université Paris Cité
Doctor of Philosophy (Ph.D.), Computer Science
2011 — 2014
Skills
- Spss
- Data Analysis
- Functional Genomics
- Genomics
- Statistical Data Analysis
- Hadoop
- Flow Cytometry
- Population Genetics
- Java
- Ruby
- Human Genetics
- Perl
- Cell Culture
- Bioinformatics
- Genome Analysis
- Science
- Biochemistry
- Life Sciences
- C++
- Cardiovascular
- Hypertension
- Cardiovascular Disease
- R
- Machine Learning
- Genetic Analysis
- Python
- Blood Pressure
- Cell
- Computational Genomics
- Research
- Cardiovascular Biology
- Big Data Analytics
- Genetic Algorithms
- Comparative Genomics
- Cardiology
- Molecular & Cellular Biology
- Statistics
- Molecular Genetics
- Matlab
- Clinical Research
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