Data Scientist

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@veracyte.com - 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@veracyte.com - Adi Eyal, Human Resources, Israel office

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