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Data Scientist

Company:
Veracyte
Location:
Israel
Posted:
July 25, 2025
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Description:

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.

This is a remote position based out of our Israel office. Send your resume directly to - Adi Eyal, Human Resources, Israel office

Responsibilities

Analyze next-generation sequencing data ranging from single research experiments to very large data sets

Research and develop novel deep & machine learning architectures, statistical algorithms and mathematical models for application in genomics

Lead the design and development of data specification standards and data science business processes

Produce correct conclusions based on rigorous mathematical analysis and principles of statistics and probability

Collaborate effectively with R&D, production, and clinical teams to build pipelines for high-throughput sequencing data

Be the "go to" person for data and algorithms issues

Ensure internal processes and metrics are aligned to create the highest product quality and competitive advantage

Develop Python software infrastructure to support algorithm testing and simulation studies

Produce clear, concise and correct technical documentation including research reports and algorithm specifications

Collaborate across the organization to build data application pipelines for high-throughput sequencing data

Generating ideas to improve existing technology and drive future technology

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.

At least 5-year 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

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

Send your resume directly to - Adi Eyal, Human Resources, Israel office

#LI-Remote

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 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

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