Staff Data Engineer, Genomics Data

Job Description

• Maintain infrastructure that allows scientists to process and analyze Helix-produced clinicogenomic datasets • Evaluate and Innovate new ways to evolve our data pipelines; implement pipelines into our research workflows • Collaborate and work well cross functionally with product managers, bioinformaticians, scientists, other engineers, and business leaders • Establish and maintain strong engineering best practices • Own systems and services from development to production • Mentor other team members to reinforce a culture of learning and teaching

Qualifications

• Bachelor's/Master's degree in Computer Science, Bioinformatics, Engineering, Mathematics, or a related field with 5+ years of experience; or PhD with 2+ years of experience • Proven experience in data engineering, with a strong preference for experience in the genomics life sciences/pharmaceutical industry • Proficiency in Python, SQL, Java, Scala, or similar • Proficient in the principles of molecular biology and/or next-generation sequencing and genomics • Strong experience with AWS cloud computing services • Strong expertise with ETL pipeline, automation and workflow managements tools • Adaptable in a fast-paced startup environment where priorities may change quickly and frequently • Ability to work with various sources of data; familiar with database design, data manipulation, data quality techniques • Ability to think creatively to solve problems on tight timelines

Benefits

• Comprehensive Health Insurance with Date of Hire eligibility • Above average employer paid premium coverage • 12 weeks Helix Paid Parental Leave option • 401(k) with employer matching of up to 4% and 100% Vesting on the Date of Hire • Comprehensive Well-Being Benefits • 18 well-being programs covering financial, legal and wellness solutions • Flexible PTO • Remote options for many roles and a home office stipend