Research Scientist Resume
An academic CV for a biomedical PI showcasing NIH grants, CRISPR genomics research, Nature publications, and a Pew Scholars Award.
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Dr. Kenji Tanaka
Research Scientist | Computational Biology · Genomics · Drug Discovery
Research Summary
Independent research scientist and principal investigator studying the genetic basis of rare metabolic disorders. Published 28 peer-reviewed papers (h-index 18) and secured $4.2M in NIH and NSF grant funding. Expert in single-cell RNA sequencing, CRISPR-Cas9 functional genomics, and computational pathway analysis. Passionate about translating bench discoveries into therapeutic leads.
Research Experience
Lead an 8-person lab (3 postdocs, 3 PhD students, 2 research assistants) investigating the genomic and metabolic underpinnings of lysosomal storage disorders.
Developed a CRISPR base-editing approach that corrected the target mutation in 78% of patient-derived iPSCs in vitro.
Secured $4.2M in grant funding across NIH R01, NSF CAREER, and Pew Biomedical Scholar awards.
Published 12 papers since joining Scripps; 4 in Nature/Cell family journals.
Applied single-cell RNA-seq (10x Genomics) to profile transcriptomic heterogeneity in 15 rare disease patient cohorts.
Co-developed an open-source computational pipeline (PyScArches) for integrating multi-modal single-cell data; 1,200+ GitHub stars.
Co-first author on Nature Methods paper that became a top-10 cited paper of 2020.
Education
Selected Publications
Demonstrated therapeutic correction of TFEB mutations in patient iPSC-derived hepatocytes using adenine base editors, achieving 78% editing efficiency.
Open-source Python toolkit enabling integration of 10M+ cells across scRNA-seq, scATAC-seq, and spatial transcriptomics modalities.
Profiles
Technical Skills
CRISPR-Cas9, scRNA-seq, iPSC Culture, Flow Cytometry, Western Blot, qPCR
Python, R, Seurat, Scanpy, DESeq2, Nextflow
NIH R01, NSF CAREER, Aims Page Development, Budget Justification
Training & Credentials
Grants & Honours
Service & Mentorship
Review applications and interview candidates for the CMBB doctoral programme.
Interests
Public Lectures, Science Twitter
Mathematical Origami, Modular Structures
Languages
Resume Breakdown
Research Summary
Independent research scientist and principal investigator studying the genetic basis of rare metabolic disorders. Published 28 peer-reviewed papers (h-index 18) and secured $4.2M in NIH and NSF grant funding. Expert in single-cell RNA sequencing, CRISPR-Cas9 functional genomics, and computational pathway analysis. Passionate about translating bench discoveries into therapeutic leads.
Research Experience
Assistant Professor & Principal Investigator
The Scripps Research Institute
September 2021 to Present · San Diego, CA
Lead an 8-person lab (3 postdocs, 3 PhD students, 2 research assistants) investigating the genomic and metabolic underpinnings of lysosomal storage disorders.
Developed a CRISPR base-editing approach that corrected the target mutation in 78% of patient-derived iPSCs in vitro.
Secured $4.2M in grant funding across NIH R01, NSF CAREER, and Pew Biomedical Scholar awards.
Published 12 papers since joining Scripps; 4 in Nature/Cell family journals.
Postdoctoral Associate
Broad Institute of MIT & Harvard
September 2018 to August 2021 · Cambridge, MA
Applied single-cell RNA-seq (10x Genomics) to profile transcriptomic heterogeneity in 15 rare disease patient cohorts.
Co-developed an open-source computational pipeline (PyScArches) for integrating multi-modal single-cell data; 1,200+ GitHub stars.
Co-first author on Nature Methods paper that became a top-10 cited paper of 2020.
Education
Postdoctoral Fellow — Computational Biology
MIT
2018 to 2021 · Advisor: Prof. Eric Lander
Ph.D. Biochemistry
Stanford University
2013 to 2018 · NSF Graduate Research Fellow
B.S. Chemistry
University of Tokyo
2009 to 2013 · Summa Cum Laude
Training & Credentials
NIH Principles of Clinical Pharmacology
NIH / FAES · 2020
Responsible Conduct of Research (RCR) Certified
CITI Program · 2022
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