ML Scientist

A bit about Karius:

Karius aims to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company’s platform delivers unprecedented insights into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood, and helping industry accelerate the development of therapeutic solutions. The Karius test is one of the most advanced solutions available to physicians who aim to deliver better care to many otherwise ineffectively treated patients. Our test is the result of incredible work done by our scientists, statisticians, engineers, and physicians, all driven by the same mission.

About the role

We are seeking a Staff Data Engineer to join the Analytics Engineering team at Karius Diagnostics. As a member of the team, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems to support the analysis and interpretation of large-scale genomic datasets. You will collaborate closely with other data scientists, software engineers, and domain experts to develop innovative solutions that enhance our understanding of infectious diseases.

Responsibilities

• Design and implement scalable data pipelines using technologies such as Apache Spark, Hadoop, and Kubernetes
• Develop and maintain robust data storage and retrieval systems
• Collaborate with cross-functional teams to define and implement data-driven solutions
• Contribute to the continuous improvement of data infrastructure and processes
• Support the development and maintenance of data models and analytics tools

Requirements

• Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field
• 5+ years of relevant experience in data engineering, preferably in a healthcare or biotech setting
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Strong proficiency in SQL and NoSQL databases
• Hands-on experience with cloud platforms like AWS, Google Cloud, or Azure
• Excellent problem-solving skills and ability to work independently and collaboratively
• Experience with data visualization tools such as Tableau or PowerBI

Qualifications

• Proven track record of delivering high-quality data engineering projects
• Experience with distributed systems and microservices architecture
• Knowledge of data warehousing concepts and best practices
• Experience with data quality and data governance principles
• Ability to communicate complex technical concepts to non-technical stakeholders

Skills

• Proficiency in Python, Java, or Scala
• Experience with data modeling and database design
• Understanding of machine learning algorithms and their application to genomics
• Experience with data security and compliance standards

Benefits

• Competitive salary commensurate with experience
• Flexible work schedule
• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Generous paid time off
• Professional development opportunities
• Collaborative and supportive work environment

Pay

Competitive salary commensurate with experience

Schedule

Fully remote position