Data Scientist II (RWD)

Posted Yesterday
3 Locations
In-Office or Remote
125K-165K Annually
Mid level
Healthtech • Information Technology • Biotech
The Role
The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.
Summary Generated by Built In

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  
  • Research experience with developing AI models such as LLM, vision/time series foundation models. 
  •  

#LI-Hybrid, or #LI-Remote


The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Veracyte is a multi-state employer, and this salary range may not reflect positions that work in other states.

Pay range
$125,000$165,000 USD

What We Can Offer You

Veracyte is a growing company that offers significant career opportunities if you are curious, driven, patient-oriented and aspire to help us build a great company. We offer competitive compensation and benefits, and are committed to fostering an inclusive workforce, where diverse backgrounds are represented, engaged, and empowered to drive innovative ideas and decisions. We are thrilled to be recognized as a 2024 Certified™ Great Place to Work® in both the US and Israel - a testament to our dynamic, inclusive, and inspiring workplace where passion meets purpose.


About Veracyte

Veracyte (Nasdaq: VCYT) is a global genomic diagnostics company that improves patient care by providing answers to clinical questions, informing diagnosis and treatment decisions throughout the patient journey in cancer and other diseases. The company’s growing menu of genomic tests leverage advances in genomic science and technology, enabling patients to avoid risky, costly diagnostic procedures and quicken time to appropriate treatment. The company’s tests in lung cancer, prostate cancer, breast cancer, thyroid cancer, bladder cancer and idiopathic pulmonary fibrosis are available to patients and its lymphoma subtyping and renal cancer tests are in development. With Veracyte’s exclusive global license to a best-in-class diagnostics instrument platform, the company is positioned to deliver its tests to patients worldwide. Veracyte is based in South San Francisco, California. For more information, please visit www.veracyte.com and follow the company on X (Formerly Twitter).

Veracyte, Inc. is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability status. Veracyte participates in E-Verify in the United States. View our CCPA Disclosure Notice.

If you receive any suspicious alerts or communications through LinkedIn or other online job sites for any position at Veracyte, please exercise caution and promptly report any concerns to [email protected]

Top Skills

AWS
Ggplot
R
SQL
Tidyverse
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The Company
Austin, TX
596 Employees
Year Founded: 2008

What We Do

Veracyte is a global diagnostics company that empowers clinicians with the high-value insights they need to guide and assure patients at pivotal moments in the race to diagnose and treat cancer.

Our growing menu of diagnostic tests answers important clinical questions to help patients avoid risky, costly procedures and interventions, and accelerate time to appropriate treatment

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