Joselynn Wallace
Lead Genomics Data Scientist
Cranston, Rhode Island, United States
Summary
👤
Senior🎓
Top SchoolJoselynn Wallace is a Lead Genomics Data Scientist with nearly a decade of hands-on experience translating high-throughput sequencing data into actionable insights for therapeutic research. She combines deep domain expertise in RNA-seq, scRNA-seq, transcriptome assembly and metagenomics with strong software engineering practices—having driven shifts from Conda to containerization, migrated SLURM scripts to Nextflow, and automated workflows via GitHub Actions. A published scientist and frequent workshop instructor, she leads and mentors teams while building reproducible, FAIR-aligned pipelines that reduce manual error and save substantial person-hours. Joselynn excels at bridging technical and nontechnical stakeholders to deploy analyses that inform grant-funded work and drug-discovery pipelines. She is also an experienced trainer who has onboarded staff, coached interns, and coordinated external workshop programs to expand lab-wide computational capacity. Based in Cranston, RI, she blends academic rigor (PhD) with practical pipeline engineering to advance genomics-driven therapeutics.
9 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biological and Environmental Sciences, Doctor of Philosophy (Ph.D.) Biological and Environmental Sciences at University of Rhode Island
Github Skills (21)
genomics8
background-image8
bioinformatics8
mermaid7
yaml7
poster7
computational-biology7
markdown6
pipeline5
nextflow5
hugo5
hugo-theme5
r-package4
rna-seq3
database3
Programming languages (9)
Github contributions (5)
compbiocore/refchef
Jul 2019 - Jun 2022
YAML-based genomics reference management.
Contributions:36 commits, 15 PRs, 53 pushes in 2 years 11 months
reference-managementbioinformaticsgenomicsyaml
compbiocore/cbc-references-refchef
Jun 2019 - Aug 2024
Computational Biology Core List of References for RefChef
Contributions:6 PRs, 225 pushes, 23 branches in 5 years 3 months
bioinformaticscomputational-biologybiologycomputational
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