Data Scientist II (RWD)

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. 

Our Values:

• We Seek A Better Way: We innovate boldly, learn from our setbacks, and are resilient in our pursuit to transform cancer care
• We Make It Happen: We act with urgency, commit to quality, and bring fun to our hard work
• We Are Stronger Together: We collaborate openly, seek to understand, and celebrate our wins
• We Care Deeply: We embrace our differences, do the right thing, and encourage each other

 

The Position:

This is a remote friendly position. On-site cube available in South San Francisco or San Diego.  

We are seeking a talented and experienced data scientist to join our Data Analysis Team (DAT), as part of the R&D group for Veracyte Inc. This position offers a unique opportunity to work with experienced professionals to carry out AI/ML modelling and analysis of the world’s largest database of cancer patients, encompassing multi-platform digital pathology, genomic and clinical outcome data.   

The primary objective of this role is to analysis millions of records of real-world insurance claims and EHR data to define clinical treatments and outcomes. The successful candidate needs to be proficient in state-of-art data extraction, transformation and loading (ETL), and statistical analysis to convert data into meaningful insights and stories. The candidate will also need to communicate and understand business needs, identify relevant data, process and analyze data accordingly. Experience of academic writing and prepare data/figures for manuscript are necessary for success in this position. The candidate should also be able to design graphics to explain AI models with known clinical or genomic features. Strong track record of publishing in both clinical and technical peer-review journals or conferences is highly desired. The ideal candidate is passionate about data, eager to learn independently, and possesses strong analytical, problem-solving, and storytelling skills.  

KEY RESPONSIBILITIES:  

• Assist in analyzing real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs.  

• Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text.  

• Assist in conducting statistical analysis and survival modelling for the clinical events defined from real-world data.   

• Ability to visualize finding from the data and summarize them in a coherent story.  

• Support data scientists in developing digital pathology AI models 

• Work with bioinformatician, statistician, and medical experts in manuscripts. 

Who You Are:

REQUIRED EXPERIENCE:   

• 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, including an attention to detail when sharing findings. 

• Ability to work effectively in a fast-paced and collaborative environment.  
• Eagerness to learn new technologies and adapt to evolving requirements.   

RELEVANT EXPERIENCE (preferred but not required):   

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) is desirable.  

• Knowledge of basic bioinformatics, genomics, and cancer biology  

• Past research experience in urological oncology, bioinformatics, digital pathology, or relevant fields