BIO & HEALTH INFORMATICS |
DATA ANALYSIS | KNOWLEDGE MANAGEMENT
01 EXPERTISE
IN SOLVING A BROAD RANGE OF BIO- AND HEALTH- INFORMATICS PROBLEMS
Bioinformatics
Data Science
Data Analysis
Biostatistics
Cloud Engineering & Infrastructure
Training & Coaching
Why work with Josh Levy at Levy Informatics?
Reliability. Whether Josh is designing a system to integrate hundreds of ‘omics experiments into a triple store, automating interview transcript coding using machine learning, providing key analysis for a microbiome paper, or working with public heath officials to create disease definitions for automated querying, he makes things work.
Client Focus. Josh understands the science above and beyond the numbers, helping him to communicate effectively with clients and translate needs into designs. He values being clear, transparent and setting realistic expectations. He also understands that if you can’t tell a good story, nobody cares what you did or how you did it.
Expertise. Josh brings 25+ years of experience analyzing data in the context of systems biology (mammalian, plant and microbial). He has architected and implemented systems for knowledge management and curation. His broad experience with programming, scripting, statistical languages, and object-oriented programming have made him language agnostic. Josh has worked with diverse databases across vendors, including graph and relational. He is GCP certified and knows how to handle data to protect privacy.
02 Testimonials
“I have been a client of Josh's for over a year, and we worked together about a decade at the same company.
I could not make a stronger endorsement
(1) He is a skilled programmer and analyst. In fact, he was a major contributor to one of the coolest discoveries I've been privy to.
(2) He's capable of (and clearly enjoys) finding ways of solving problems he's never seen before.
(3) He's also incredibly efficient and was often resourced on projects that were tricky, nebulous, and required a fast turnaround time.
Lastly, I consider him as much a friend as a colleague -- he's affable, patient, and is unanimously liked -- a true delight to work with. ”
Renée Deehan
VP, Computational Biology & Translational Informatics
Global CRO
03 RECENT Experience
2023 - PRESENT
Biopharmaceutical company
Biological mechanisms of drug action, from proteomics data
2023 - PRESENT
Global biopharmaceutical
Biological mechanisms of action from proteomics and serum biomarker analysis
2022 - PRESENT
Segterra, Inc
Using statistical genetics to provide health insights to clients
2022 - PRESENT
Sensorium Therapeutics
Enabling discovery through knowledge base design and development
2022 - PRESENT
Association of State and Territorial Health Officials
Partnering with Thought Bridge, LLC to use syndromic surveillance to identify people with who have disabilities that make them high-risk during public health emergencies
2022 - PRESENT
Lonza AG
Optimizing biomolecule production through biostatistics and bioinformatics
2022 - PRESENT
Ionis Pharmaceuticals
Using statistical genetics to better target therapies to the right patients
2021 - 2022
Sestina Bio
Helping them to grow their capacity though cloud infrastructure and informatics services.
2021 - 2022
US Government Agency
Helping to up-skill the nation’s public health professionals through data science coaching for teams of state and territorial epidemiologists.
2020 - 2023
COVID Tracking Map
With bioinformaticist Brian Duckworth, PhD, developed multi-statistic state and county level interactive map.
2019 - 2022
Global CRO
Helping them to fulfill their most difficult and time-sensitive projects through infrastructure development, ‘omics workflows and automation, public data incorporation (including TCGA and Expression Atlas), and biostatistical analysis for client projects.
2019 - 2020
US Government Agency
Enabled state analysis of Narcan (naloxone) administration outcomes through probabilistic linkage of hospital emergency medical records with EMS records. Disseminated methods through educational materials, and training of state epidemiologists.
2019
Patients Like Me
Enabled their use of genotype data by developing a GWAS / candidate gene analysis pipeline, and integrating the results into their knowledge base.
