Data Scientist II, RWD

Veracyte, Inc.

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • California

✨ AI Apply

💰 $101,000 - $140,000 per year

Mid-LevelSenior

AWSAzureCloudETLGoogle Cloud PlatformSQL

About the role

Analyze millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes
Perform ETL (data extraction, transformation and loading) to prepare data for analysis
Identify key clinical events (cancer progression, treatments) using CPT, NDC, ICD codes and structured database free text
Conduct statistical analysis and survival modelling for defined clinical events
Visualize findings and summarize them in coherent stories
Support data scientists in developing digital pathology AI models
Work with bioinformaticians, statisticians, and medical experts on manuscripts and publications
Communicate and understand business needs, identify relevant data, and process/analyze accordingly
Prepare data and figures for manuscripts and design graphics to explain AI models

PhD in Statistics, Data Science, or equivalent field
3+ years of experience of data/applied scientist role or equivalent
Experience in working with real-world data of insurance claims and EHR records
Proficient in SQL and R
Strong skills with data clean-up, manipulation and visualization using tidyverse, ggplot in R or equivalent
Proficient in statistical analysis, especially in survival modelling and hypothesis testing (i.e., multivariate regression modelling with interaction effects)
Experience working in cloud computing environments (AWS preferred)
Demonstrated proficiency in summarizing and communicating findings from data
Ability to work effectively in a fast-paced and collaborative environment
Eagerness to learn new technologies and adapt to evolving requirements
Experience of academic writing and preparing data/figures for manuscripts
Ability to design graphics to explain AI models with clinical or genomic features
Strong track record of publishing in clinical and technical peer-review journals or conferences (highly desired)
(Preferred) Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
(Preferred) Knowledge of basic bioinformatics, genomics, and cancer biology
(Preferred) Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields
(Preferred) Research experience with developing AI models such as LLM, vision/time series foundation models