Kelci Miclaus Email & Phone Number
@dataiku.com
3 phones found area 919
LinkedIn matched
Who is Kelci Miclaus? Overview
A concise factual answer block for searchers comparing this professional profile.
Kelci Miclaus is listed as Head of Life Sciences AI at Snowflake, a with 10201 employees, based in Raleigh, North Carolina, United States. AeroLeads shows a work email signal at dataiku.com, phone signal with area code 919, and a matched LinkedIn profile for Kelci Miclaus.
Kelci Miclaus previously worked as Head of AI Solutions, Health & Life Sciences at Dataiku and Board Member at Sall Family Foundation. Kelci Miclaus holds Phd, Statistics from North Carolina State University.
Email format at Snowflake
This section adds company-level context without repeating Kelci Miclaus's masked contact details.
AeroLeads found 1 current-domain work email signal for Kelci Miclaus. Compare company email patterns before reaching out.
About Kelci Miclaus
At the helm of Dataiku's Health & Life Sciences division, my mission is to lead with innovation in artificial intelligence solutions. Overseeing the strategic planning and execution, my role is to ensure our product capabilities, AI frameworks and solutions empower organizations by accelerating the application of cutting-edge techniques across the entire value chain with Dataiku; a unified collaborative data science and machine learning platform.Through 20+ years’ experience I am a deeply skilled professional in all aspects of software & solutions development lifecycle, management and leadership, advanced analytics & AI dedicated to the life sciences market. In my roles, I have developed and implemented statistical, AI/ML, optimization algorithms and applications for the entire healthcare and biopharmaceutical enterprise value chain, led cross-functional teams involved in the software & solutions development process for life sciences data and analysis use cases, and provided customer facing advanced enablement and guidance for commercial biotech/pharmaceutical companies, regulatory agencies, healthcare and health tech services, and core labs/academic institutions. I routinely serve as SME both externally and internally around implementation science in analytical methodology, digital transformation, data science and machine learning, data visualization, and technology platforms.
Listed skills include Statistics, Genomics, Sas, Jmp, and 42 others.
Kelci Miclaus's current company
Company context helps verify the profile and gives searchers a useful next step.
Kelci Miclaus work experience
A career timeline built from the work history available for this profile.
Head Of Ai Solutions, Health & Life Sciences
CurrentLead industry verticalization practice and AI solutions for healthcare and life sciences.Manage and work alongside a global team of industry specialists and dedicated solution data scientists and full stack engineers to scale adoption of Dataiku platform with healthcare and life sciences organizations.Develop industry GTM strategies, sales enablement training and assets, marketing materials that helped Dataiku become a leading data science and machine learning platform of choice for AI initiatives and digital transformation programs in HLS enterprises (particularly pharma/biopharma).Scope, build and deliver the roadmap for a diverse catalog of Dataiku Industry Solutions to accelerate analytics and AI use cases in life sciences from R&D, manufacturing, supply, clinical operations, and market launch/commercialization.Work with global go-to-market teams to evangelize the value of Dataiku and position life sciences solutions with new & existing clients along with both technology partners and GSIs/SIs.
Board Member
Current
Senior Director, Veeva Stats
Leading product, strategy and engineering for Veeva Systems statistical computing environment solutions
Senior Manager, Advanced Analytics R&D
Advanced Analytics R&D Senior Manager for JMP Life Sciences software products: JMP Genomics and JMP Clinical. I manage and lead the statistical and software development teams for the JMP Life Sciences products at SAS Institute Incorporated. In my role, I develop and maintain statistical analysis routines for JMP Clinical and JMP Genomics in addition to my management responsibilities where I comprehensively manage the feature development, software release cycles and development team responsibilities for both products. I work closely with several teams involved in the software development process including the testing, release engineering, technical support, marketing and web, and the sales teams. I provide customer-facing advanced support and guidance for academic researchers, commercial/pharmaceutical companies, and regulatory agencies. I regularly attend scientific meetings to both represent our products and present current research. JMP Clinical provides easy-to-use interactive metadata-driven reviews for clinical trials safety reporting and biometric analysis, medical monitoring and writing, central statistical monitoring, and data quality and fraud detection. The solution is built on SAS analytics and the dynamic JMP graphical interface and leverages international CDISC data standards for all analyses and reports. JMP Genomics provides an end-to-end statistical analysis platform for Omics data; including molecular markers, microarray expression, Next-generation sequencing data as well as metabolomic and proteomic data. Focus areas include GWAS/Pharmacogenetics, normalization and advanced modeling for RNA-Seq, genomic selection and breeding analysis for plant research, and sophisticated predictive modeling and biomarker pattern discovery and subgroup routines.
Principal Research Statistician
Research and develop statistical methods to implement in the JMP Genomics and JMP Clinical software products. Area of concentration in JMP Genomics is in population genetics, relatedness, complex association/mixed models, linkage mapping and QTL. Area of concentration for JMP Clinical is in analysis of findings data for evaluating drug safety in clinical trials.
Git Assistantship/Statistical Consultant
Statistical analysis in drug manufacturing, stability analysis
Statistical Intern
Candidate gene studies and genetic research in clinical trials
Colleagues at Snowflake
Other employees you can reach at snowflake.net. View company contacts for 10201 employees →
Lindsey Miller
Colleague at SnowflakeDenver, Colorado, United States
View →
EO
Emma Otzen
Colleague at SnowflakeNetherlands
View →
EF
Ed Fron
Colleague at SnowflakeDenver, Colorado, United States
View →
IR
Isaac Riddle
Colleague at SnowflakeAtlanta, Georgia, United States
View →
KL
Kira Lipson
Colleague at SnowflakeSan Francisco Bay Area, United States
View →
PB
Prajakta Borkar
Colleague at SnowflakePune, Maharashtra, India
View →
JV
Jude Vijay Arulraj
Colleague at SnowflakeGreater Nottingham, United Kingdom
View →
ED
Emily Deluca
Colleague at SnowflakeKittery Point, Maine, United States
View →
MS
Mohan Shroff
Colleague at SnowflakePune, Maharashtra, India
View →
KG
Kyle Gath
Colleague at SnowflakeUnited States
View →
Kelci Miclaus education
Phd, Statistics
B.S., Statistics
Frequently asked questions about Kelci Miclaus
Quick answers generated from the profile data available on this page.
What company does Kelci Miclaus work for?
Kelci Miclaus works for Snowflake.
What is Kelci Miclaus's role at Snowflake?
Kelci Miclaus is listed as Head of Life Sciences AI at Snowflake.
What is Kelci Miclaus's email address?
AeroLeads has found 1 work email signal at @dataiku.com for Kelci Miclaus at Snowflake.
What is Kelci Miclaus's phone number?
AeroLeads has found 3 phone signal(s) with area code 919 for Kelci Miclaus at Snowflake.
Where is Kelci Miclaus based?
Kelci Miclaus is based in Raleigh, North Carolina, United States while working with Snowflake.
What companies has Kelci Miclaus worked for?
Kelci Miclaus has worked for Snowflake, Dataiku, Sall Family Foundation, Veeva Systems, and Sas.
Who are Kelci Miclaus's colleagues at Snowflake?
Kelci Miclaus's colleagues at Snowflake include Lindsey Miller, Emma Otzen, Ed Fron, Isaac Riddle, and Kira Lipson.
How can I contact Kelci Miclaus?
You can use AeroLeads to view verified contact signals for Kelci Miclaus at Snowflake, including work email, phone, and LinkedIn data when available.
What schools did Kelci Miclaus attend?
Kelci Miclaus holds Phd, Statistics from North Carolina State University.
What skills is Kelci Miclaus known for?
Kelci Miclaus is listed with skills including Statistics, Genomics, Sas, Jmp, Predictive Modeling, Statistical Modeling, Data Analysis, and Analytics.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial