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Senior Bioinformatics Engineer at Novogene
Results-driven computational biologist with 8+ years of expertise in analyzing high-dimensional omics data (RNA-seq, single-cell, 10x Multiome, 10x Visium, MERFISH, Slide-seq, etc.), designing machine learning algorithms, and contributing to drug discovery pipelines. Proven experience in target identification, biomarker discovery, and translational research within biotech and pharmaceutical environments. Adept at collaborating with cross-functional teams to accelerate preclinical research and drive decision-making through data analysis. Equipped with strong programming skills, cloud computing knowledge, and a track record of improving bioinformatics workflows and tools. Passionate about applying cutting-edge computational methods to advance therapeutic development.
Duke University
Doctor of Philosophy - PhD, Computational Biology and Bioinformatics
August 1, 2019 – December 1, 2024
UC San Diego
Bachelor of Science (B.S.), Bioinformatics
January 1, 2015 – January 1, 2019
Novogene
Senior Bioinformatics Engineer
September 1, 2025 – Present
Beijing, China
Duke University School of Medicine
Spatial Transcriptomics Data Analysis Workshop Curator and Facilitator
September 1, 2023 – September 1, 2023
Durham, North Carolina, United States
Merck
Genome and Biomarker Sciences Intern
June 1, 2022 – August 1, 2022
Cambridge, Massachusetts, United States
Duke University
PHD Student
August 1, 2019 – October 1, 2024
Durham County, North Carolina, United States
University of California, San Diego - School of Medicine
Bioinformatics Research Intern, Jill Mesirov Lab
October 1, 2018 – June 1, 2019
La Jolla
University of California San Diego
Computer Science Tutor
September 1, 2018 – June 1, 2019
La Jolla, CA
San Diego Supercomputer Center
Tutor at Bioinformatics Workshop & Hackathon
April 1, 2018 – May 1, 2018
La Jolla, CA
UCSD Center for Computational Biology & Bioinformatics (CCBB)
Bioinformatics Intern
June 1, 2017 – March 1, 2018
Greater San Diego Area
San Diego Supercomputer Center
Deep Learning Research Intern
January 1, 2017 – June 1, 2017
La Jolla, CA
University of California San Diego
Math Supplemental Instruction Leader
September 1, 2016 – June 1, 2017
La Jolla, CA
University of California San Diego
Orientation Leader
March 1, 2016 – September 1, 2016
La Jolla, CA
Cultural Fit Analysis
The candidate's background is heavily concentrated in academia and bioinformatics research, with significant experience in teaching and mentoring. While these roles demonstrate strong analytical and communication skills, the diversity of projects outside of the biological domain is limited. The target role of 'Data Analyst' is broad, and the candidate's fit would depend on the specific industry and data types involved. Their experience in collaborative research environments suggests a good fit for team-oriented cultures, but the lack of diverse industry experience might require adaptation to different business contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their experience presenting research findings to multidisciplinary teams and facilitating workshops. Their tutoring and teaching roles highlight an ability to explain complex concepts and collaborate. The project descriptions indicate teamwork and organizational skills. The candidate's academic background suggests a strong analytical and problem-solving mindset, which is crucial for a Data Analyst role.