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 pursue bold ideas, embrace complexity, and keep pushing forward.
- We Make It Happen: We act with urgency, deliver with excellence, and always find a way.
- We Are Stronger Together: We engage with empathy, align around what's best for Veracyte, and celebrate as one team.
- We Care Deeply: We show up with integrity, kindness, and respect for one another.
We are seeking a talented and experienced data scientist III (contractor) 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 analyze 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:
- Analyze 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.
- Conduct statistical analysis and survival modeling for clinical events defined from real-world data.
- Ability to visualize findings from the data and summarize them in a coherent story.
- Support data scientists in developing digital pathology AI models
- Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts.
REQUIRED EXPERIENCE:
- PhD in Statistics, Data Science, or equivalent field. Or Master of 4+ years of relevant post-graduate experience
- Experience in working with real-world data of insurance claims and EHR records
- Expert in SQL and R or equivalent
- 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 and attention to detail 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.
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.
LOCATION:
- This is a remote friendly position.
#LI-Remote
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.
Veracyte (Nasdaq: VCYT) is a global diagnostics company whose vision is to transform cancer care for patients all over the world. We empower 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 Veracyte Diagnostics Platform delivers high-performing cancer tests that are fueled by broad genomic and clinical data, deep bioinformatic and AI capabilities, and a powerful evidence-generation engine, which ultimately drives durable reimbursement and guideline inclusion for our tests, along with new insights to support continued innovation and pipeline development. For more information, please visit www.veracyte.com or follow us on LinkedIn or X (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]
