Principal Data Scientist

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
We are seeking a Principal Data Scientist to lead the research and creation of multimodal AI (MMAI) models and workflows that integrate genomic, transcriptomic, imaging, and clinical data for various oncology applications. This role is critical to advancing the science and technology of MMAI, driving innovation in predictive modeling to benefit patient outcomes, and supporting product strategy through rigorous hypothesis-driven research. The Principal Data Scientist will report to the Senior Director of Computational Biology and collaborate closely with cross-functional teams including Discovery, Bioinformatics and Data Science, Cloud Ops/Engineering, Pathology, Medical, and Clinical Affairs. Based in the R&D division, this role supports our mission to discover, develop, and deliver the best diagnostic, prognostic, and predictive tests to transform cancer care for patients all over the world.
Position can be remote (within USA or Canada), on-site (South San Francisco or San Diego), or hybrid.
Key Responsibilities

Lead research into novel MMAI models while closely collaborating with other machine learning experts across the computational team on strategy, study design, cohort selection, data acquisition, and data generation.
Architect, train, and validate MMAI models integrating modalities including genomics, transcriptomics, whole-slide imaging (e.g. H&E tumor tissue slides), and clinical features for cancer prognosis, risk stratification, diagnosis, and therapy selection.
Drive proof-of-concept and feasibility projects from definition through model development, benchmarking, interpretation, and dissemination of results.
Design and implement pipelines for ingesting, harmonizing, and integrating diverse data modalities (including whole-slide images, RNA-seq, WGS, clinical metadata).
Work closely with wet lab scientists, bioinformatics/data science teams, medical/clinical/pathology teams, software/data/cloud engineers, and other cross-functional teams to ensure models are biologically interpretable and clinically applicable.
Prepare and present findings to technical and non-technical audiences, including conference abstracts and presentations, scientific publications, and internal reports.
Who You Are
You are a creative, pragmatic leader with a passion for translating complex data into actionable clinical insights to improve management and outcomes of cancer patients. You thrive in multidisciplinary, fast-paced environments, welcome feedback, and are driven by scientific curiosity and rigor. You are comfortable navigating challenges, adapting to evolving priorities, and delivering results on time.
Must Have

Ph.D. in bioinformatics, computational biology, genomics, biostatistics, computer science, or a related field applying quantitative computational methodologies to biological/clinical problems.
Minimum 8 years of relevant experience, with at least 5 years in an industry setting (biotech, diagnostics, or healthcare preferred).
Demonstrated expertise in multimodal data integration, machine learning, and model development for NGS-based clinical diagnostics.
Strong programming skills in Python, R, and SQL.
Strong experience with cloud computing environments (AWS preferred).
Deep knowledge of genomics, transcriptomics, digital pathology, and clinical data analysis.
Proven track record of technical leadership, project ownership, and successful delivery of high-impact R&D projects.
Excellent communication skills and ability to mentor and lead interdisciplinary teams.
Strong publication record in peer-reviewed journals, including first and senior authorship.
Preferred

Experience with advanced ML architectures (transformers, multimodal fusion, attention mechanisms).
Familiarity with regulatory requirements (HIPAA, GDPR) and data governance in clinical research.
Experience with medical imaging analysis and cytopathology.
Knowledge of cancer biology, immunology, and clinical trial design.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to years of experience, skillset, geographic location, 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.
Pay range
$182,000—$208,000 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 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.
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