Nicolas de Jay

Computational Biologist @Bristol Myers Squibb

Montreal, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Mar 2021 — Present

Computational Biologist @Bristol Myers Squibb

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Inform early drug discovery programs with multi-omics data insights- Provide data-driven recommendations for early discovery drug programs- Assess mechanism of action hypotheses, inform pharmacodynamics and response biomarker design, and guide patient stratification strategies- Work with cross-functional teams to draw insights from existing data and to plan new experiments- Develop internal R packages to streamline omics data analysis by analysts- Design visualization tools to facilitate interactive exploration of data packages by stakeholders

EDUCATION

2013

Université de Montréal

Bachelor of Science (BSc), Bioinformatics

2016 — 2020

McGill University

Doctor of Philosophy (PhD), Human Genetics

2009

Collège Jean-de-Brébeuf

DEC, Health Sciences

2014 — 2016

McGill University

Master of Science (MSc - fast track), Human Genetics

SKILLS

StatisticsNgsComputational BiologyResearchOral CommunicationComputer ScienceSystem AdministrationJavaRubyWritten CommunicationSoftware DevelopmentLinuxMachine LearningVersion ControlDna MethylationData AnalysisHigh Performance Computing (Hpc)High Performance ComputingTeamworkMicrosoft OfficeAlgorithmsRProblem SolvingEpigeneticsC++RnaseqProgrammingBrain TumorsShell ScriptingBioinformatics

ABOUT NICOLAS DE JAY

Data scientist with a strong background in computational biology and software development, and a passion for automating computational infrastructure

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Nicolas de Jay — Computational Biologist at Bristol Myers Squibb in Montreal, CA | Unifers