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Kyle Ireton, Phd Email & Phone Number

Statistical Programmer (R) | Data Science | Neuroscience at Denali Therapeutics
Location: Greater Sacramento, United States 11 work roles 3 schools
1 work email found @syneoshealth.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Current company
Role
Statistical Programmer (R) | Data Science | Neuroscience
Location
Greater Sacramento, United States

Who is Kyle Ireton, Phd? Overview

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Quick answer

Kyle Ireton, Phd is listed as Statistical Programmer (R) | Data Science | Neuroscience at Denali Therapeutics, based in Greater Sacramento, United States. AeroLeads shows a work email signal at syneoshealth.com and a matched LinkedIn profile for Kyle Ireton, Phd.

Kyle Ireton, Phd previously worked as Statistical Programmer (R) at Denali Therapeutics and Senior Statistical Programmer at Syneos Health. Kyle Ireton, Phd holds Doctor Of Philosophy (Ph.D.), Neuroscience from University Of California, Davis.

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Email format at Denali Therapeutics

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*@syneoshealth.com
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Profile bio

About Kyle Ireton, Phd

Kyle guides his team in clinical data reporting with next-generation, open-source toolsets in a regulated environment. Currently this involves a variety of Neuroscience studies using R, Shiny, Git, SAS, and any other tools in alignment with cross-industry collaborations in the Pharmaverse (https://pharmaverse.org/).

Listed skills include Research, Biochemistry, Biophysics, Teaching, and 11 others.

Current workplace

Kyle Ireton, Phd's current company

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Denali Therapeutics
Denali Therapeutics
Statistical Programmer (R) | Data Science | Neuroscience
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11 roles

Kyle Ireton, Phd work experience

A career timeline built from the work history available for this profile.

Statistical Programmer (R)

Current

South San Francisco, California, Us

● Represent Biometrics on projects and study teams. Lead statistical programming deliverables including: generation of data visualizations or summary reports to support internal decision making and regulatory interactions (IND/CTA filings, annual safety reporting, etc.); providing input for statistical analysis plans, study protocols and clinical study reports; reviewing study randomization specifications; collaborating with Clinical Data Management on case report form design, data review plans, and external data transfer specifications; collaboration with the studyteam to review data and manage timelines; oversight of Biometrics CRO deliverables.● Design, develop, and validate CDISC analysis data (i.e., SDTM, ADaM) for use with statisticalreporting code and analytics applications.● Develop and manage reusable code for interactive data visualization, exploratory analysis, and statistical summaries in clinical study reports.● Work with the Biometrics Team to establish innovative processes to ensure high data quality,reporting of analysis results, and analysis reproducibility.● Support the Biometrics Team in efforts to build, maintain, and continuously improve an Rinfrastructure that is suitable for regulatory submission work.

Apr 2024 - Present

Senior Statistical Programmer

Morrisville, Nc, Us

- Driving collaboration with Pharmaverse working group for open-source workflow definition in for end-to-end (E2E) examples (see https://github.com/pharmaverse) - Working hand-in-glove with open-source leaders to test and troubleshoot developmental Pharmaverse packages for SDTM, ADAM, TLGs, leading to bug resolutions and optimization- Guiding and mentoring Vendor & Sponsor teammates on R, Python, and Git / Github tools for next-generation manual and automated creation of SDTMv, ADAM, and TLG / TLF outputs + version control- Supporting sponsor molecular group across 4 Phase II oncology trials, including early adopter “next gen” workflow study using R programming, Python orchestration, and Git version control with SAS QC- Providing internal R training curriculum development, training sessions, and presentations- Consulting as R Subject Matter Expert for internal groups, across Vendor FSP and FSO teams- Led Syneos community team in Pharmaverse Admiral Hackathon adapting R templates (esp, ADSL)- Developed internal R package to deliver automated SDTM outputs for Sponsor- Created R Teal / Shiny apps for interactive visualization of clinical safety data (ADSL, ADAE, etc.)- Shared exploratory R Markdown ADAM scripts in managed environments (BEE, enableR) - Wrote FL & QC programs in SAS & SQL in EntimICE IDE for production quality outputs (SDTM-TLG)- Create and QC necessary specifications and metadata documentation

Dec 2022 - Mar 2024

Senior Scientist

Alameda, California, Us

- Lead Preclinical development for 2 key neuromodulation medical devices from R&D to clinical trials- Coordinate study designs with 5 CRO partners to deliver crucial pre-GLP and GLP studies- Wrote FDA Presubmission with key Clinical and Regulatory stakeholders to communicate new neuromodulation research roadmap for novel medical device - Analyze experimental electrical signals to ensure quality of device development- Recruit Clinical KOLs for project developtment, leading slide deck presentations and facilitating conversation with Preclinical, Clinical, and Regulatory teams- Recruited Clinical Science lead for neuromodulation project

Jul 2022 - Dec 2022

Data Scientist

Davis, California, Us

- Owned experimental design, data collection, analysis, and interpretation for 2 long-term decision-making behavior research projects with multiple stakeholders, resulting in production of 3 papers- Wrote Python scripts for instrumental data collection of >100 individual animals for 3 papers- Invented R (RMarkdown) pipeline to clean, wrangle, and engineer structure for millions of rows of raw instrumental data, to enable “big data” analyses and save hundreds of hours of manual labor- Applied ANOVA, linear mixed-effects, and exponentially-modified Gaussian models in R for visualization & analysis pipelines to deepen insight into animal behavior for 3 papers - Led feature engineering to guide linear and logistic classifier models, and Hidden Markov Models, to predict animal behavior and genotype for 2 manuscripts- Built classifier models with linear and logistic regression from animal behavior variables to predict animal genotype from behavior phenotypes- Applied Principal Component Analysis to identify key drivers of individual variability in animal behavior- Initiated data science methods and framework which persist for all new high-throughput behavior experiments in 3 laboratories- Mentored diverse team of direct reports (5 Undergraduates, 2 Technicians, 1 MS student)- Taught RMarkdown pipelines for data wrangling & visualization to 3 PhD students, 2 Technicians, and 6 undergraduates starting from no previous programming background

Jan 2021 - Jun 2022

Research Analyst

Oakland, California, Us

- Programmed >10 Python microcontroller scripts for sophisticated animal behavior experiments- Wrote >10 R scripts for statistical analysis and visualizations of animal behavior.- Identified biased animals behaviors from behavior analysis, and designed new behavior equipment as engineered solution to mitigate bias in subsequent experiments.- Led numerous animal learning behavior studies (Morris Water Maze, Y-maze Novel Arm Recognition, Novel Object Recognition) including experiment design, analysis, and interpretation- Led numerous emotional animal behavior studies (Open Field, Elevated Plus Maze, Fear Conditioning)- Managed animal colonies with hundreds of mouse cages and thousands of mice over 5.5 years, with responsibilities including animal husbandry, genotyping by PCR, and accounting organization

Sep 2015 - Dec 2020

Research Technician

North Bethesda, Maryland, Us

Interrogated neural circuitry of addiction using optogenetics in transgenic mouse lines. Specifically investigated behavioral contributions made to aversive conditioning by vesicular glutamate transporter 2(VGluT2)- and glutamate decarboxylase(GAD)-expressing neurons projectioning from ventral tegmental area to lateral habenula. Presented work in poster form, data published later in "Role of glutamatergic projections from ventral tegmental area to lateral habenula in aversive conditioning", Journal of Neuroscience 34(42), October 2014.

Oct 2013 - Jul 2014

Research Fellow

Uy

Assisted in investigations into characterization of phenotypic transformation of microglia into reactive astrocytes "in vitro" and "ex vivo", in a transgenic murine model. Reactive astrocytes are associated with disease onset in an inherited model of ALS. Translated text and ideas from Spanish to English in ensuing publication (see attached link to full article). Learned essential neuroscience techniques, such as cell culturing, perfusion, slicing spinal cord and brain sections, and confocal microscopy.

Sep 2012 - Jun 2013

Research Fellow

Corvallis, Or, Us

Executed research project to determine whether oxytocin is capable of rapidly inducing phosphorylation of myristoylated alanine-rich C kinase substrate (MARCKS) protein in the ovine endometrium, presumably leading to cellular secretion of PGF2a, serving as a conceptual basis for investigations into rapid regulatory activity by estrogen. Presented project conclusions in powerpoint form at 2011 OSU HHMI Summer Symposium (see attached file above). Selected as a "Top Speaker".

Jun 2011 - Aug 2011

Research Fellow

Us

Utilized various biochemical lab techniques (DNA mutagenesis, PCR amplification, E. Coli transformation, PhastGel DNA analysis, FPLC protein purification, SDS-PAGE analysis, HSQC NMR analysis, and PyMol protein modeling) to identify small-molecule cancer-fighting compound. Analyzed data, and presented findings in lab meetings/research symposium.

Jun 2010 - Aug 2010

Research Fellow

Corvallis, Or, Us

Administered anesthesia during surgeries, performed surgery on sheep to collect tissue samples, and carried out laboratory bench work (protein, DNA, tritiated-estradiol radioreceptor assays) to help characterize the estrogen plasma membrane receptor in ovine endometrium. Analyzed data and presented research in HHMI research symposium.

Jun 2009 - Dec 2009

Crew Leader & Canvasser

Grassroots Campaigns, Inc. (Gci)

Raised funds and recruited volunteers for Democratic National Committee via GCI during 2008 presidential election as door-to-door canvasser. Led canvassing crews in Portland, OR neighborhoods, personally raised over $3,000.

Jun 2008 - Aug 2008
3 education records

Kyle Ireton, Phd education

Doctor Of Philosophy (Ph.D.), Neuroscience

University Of California, Davis

Honors Bachelor Of Science, Biochemistry & Biophysics

Oregon State University - Honors College

Biochemistry & Biophysics, Biochemistry

Oregon State University
FAQ

Frequently asked questions about Kyle Ireton, Phd

Quick answers generated from the profile data available on this page.

What company does Kyle Ireton, Phd work for?

Kyle Ireton, Phd works for Denali Therapeutics.

What is Kyle Ireton, Phd's role at Denali Therapeutics?

Kyle Ireton, Phd is listed as Statistical Programmer (R) | Data Science | Neuroscience at Denali Therapeutics.

What is Kyle Ireton, Phd's email address?

AeroLeads has found 1 work email signal at @syneoshealth.com for Kyle Ireton, Phd at Denali Therapeutics.

Where is Kyle Ireton, Phd based?

Kyle Ireton, Phd is based in Greater Sacramento, United States while working with Denali Therapeutics.

What companies has Kyle Ireton, Phd worked for?

Kyle Ireton, Phd has worked for Denali Therapeutics, Syneos Health, Iota Biosciences, Inc. Powered By Astellas, University Of California, Davis, and University Of California.

How can I contact Kyle Ireton, Phd?

You can use AeroLeads to view verified contact signals for Kyle Ireton, Phd at Denali Therapeutics, including work email, phone, and LinkedIn data when available.

What schools did Kyle Ireton, Phd attend?

Kyle Ireton, Phd holds Doctor Of Philosophy (Ph.D.), Neuroscience from University Of California, Davis.

What skills is Kyle Ireton, Phd known for?

Kyle Ireton, Phd is listed with skills including Research, Biochemistry, Biophysics, Teaching, Piano, Public Speaking, Spanish, and Guitar.

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