Sr. 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 looking for an experienced data scientist to empower our medical diagnostic capabilities. As an integral part of our R&D, you will be called on to research and develop data-centric analytic methods. The successful candidate will be in charge of researching and developing algorithmic pipeline across various system levels, from raw genomic data processing, through features extraction up to machine learning, statistical assessment and optimization.

The successful candidate will be an essential team player for significant optimization of our growing genomic data analytic platform. This entails working cross-functionally with bioinformaticians, clinical analysts, software engineers and business analysts to ensure Veracyte's data becomes powerful asset and value growth driver. Specifically, the role assumes participation in the design and prototyping of cutting-edge deep learning, machine learning and statistical algorithms for analysis of genetic data to improve clinical performance, hacking the high-throughput data processing pipelines - to replace heavy repetitive computations with trained models, and utilize DL/ML on a system level to shorten the processing times and costs.

The ideal candidate will have the ability to see the big picture and to understand user needs and requirements and to identify the opportunities for applying solutions from the deep learning, machine learning, algorithms and data science domains.

Responsibilities

Conduct advanced analyses of next-generation sequencing data, from individual research experiments to very large-scale datasets.
Research, design, and implement novel deep learning architectures, statistical algorithms, and mathematical models to advance applications in genomics.
Contribute to the design and development of data specification standards and scalable data science processes, ensuring consistency and reproducibility.
Derive robust and correct conclusions grounded in rigorous mathematical analysis and principles of probability and statistics.
Collaborate closely with R&D, production, and clinical teams to develop and optimize pipelines for high-throughput sequencing data.
Act as a subject matter expert for data- and algorithm-related issues, providing guidance and troubleshooting support.
Ensure internal processes, metrics, and workflows align to deliver the highest product quality and scientific rigor.
Develop and maintain Python-based software infrastructure to support algorithm testing, benchmarking, and simulation studies.
Prepare clear, concise, and accurate technical documentation, including research reports, algorithm specifications, and data standards.
Partner across the organization to design and implement end-to-end data application pipelines for large-scale sequencing workflows.
Proactively identify opportunities to improve existing technology and contribute ideas that drive innovation and future product development.

Who You Are:

Master's degree / PhD in engineering, computer science, bioinformatics, statistics, or similar, with a strong foundation in probability theory and/or statistics.
A minimum of 6 years of practical experience in scientific methods, processes, algorithms and systems for knowledge and insights extraction from data
Extensive knowledge in the domains of machine learning, signal processing and related quantitative techniques and theory
Strong foundation in probability theory and/or statistics including parameter estimation and hypothesis testing
Knowledge of core concepts in data analysis and applied statistics - model testing, regression, classification, clustering, data mining
Good Python, bash and scripting fundamentals, including file parsing and data visualization
Experience with cloud computing technologies (AWS preferred) - a plus
Proficiency in at least one major deep learning framework (PyTorch, TensorFlow, MXNet) – a plus
Knowledge of bioinformatics tools, clinical diagnostics workflows or genetic processes - a plus
Experience with data management in a regulated environment - a plus
Desire to learn about human genetics, genomics and next-generation sequencing technologies
Highly organized and detail-oriented, with the ability to create clear and concise technical documentation
Excellent verbal and written communication skills and the desire to work in a dynamic and collaborative environment
Ability to work independently and remotely while maintaining a strong teamwork ethics

Key attributes

Independent self-management and organizational skills
Able to manage workload and set personal and project priorities
Entrepreneurial, driven to create and to be impactful team player
Relies on data more than gut instinct
Puts the team harmony over their own self-interest, but data above all
Strong attention to detail demonstrating accuracy in tracking and reporting data
Flexibility to adjust quickly and effectively to frequent change and altered priorities
Disciplined in following process consistently
Eagerness to acquire new skills in areas such as databases, statistics, and genetics
Excellent verbal and written communication
Ability to evaluate and apply new technologies in a short time

#LI-Hybrid

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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