Senior Data Engineer
3 weeks ago
Job Description Senior Data Engineer
Position Summary
As a Senior Data Engineer at Harbinger Health, you will develop and refine our bioinformatics pipeline, this work is essential for the automation and processing of patient samples. Your contributions will include implementing and sustaining sophisticated engineering solutions and ensuring that these systems undergo rigorous testing and comprehensive documentation to meet necessary clinical standards. With a significant background in software development, experience with genomic data, and an adeptness for cloud-based computing solutions, this role is vital in supporting Harbingers mission through innovation in bioinformatics.
Responsibilities:
Develop and maintain Harbinger's bioinformatics pipeline, ensuring its integrity and efficiency.
Transition research-grade algorithms to production-level software, incorporating best practices.
Execute comprehensive testing at unit, functional, and integration levels before production deployment.
Collaborate with quality control and regulatory teams to create thorough software documentation.
Analyze and interpret complex genomics data, focusing on bisulfite sequencing.
Employ rigorous statistical methods to extract and summarize biological insights from high-dimensional data sets.
Design experiments in conjunction with computational and experimental scientists.
Present findings clearly and effectively to stakeholders.
Basic Qualifications:
Ph.D., M.S., or B.S. in computer science, bioinformatics, computational biology, biostatistics, or a related quantitative field is highly desirable.
At least 3 years of industry experience in a computational role.
At least 5 years of extensive programming in Python, with a portfolio of production-level software on GitHub or similar platforms.
Experience in software documentation within CLIA/CAP/FDA regulated environments.
Proficiency in workflow languages such as Nextflow.
Comfortable operating in a Linux environment and knowledgeable in AWS cloud computing.
Demonstrated experience in the analysis of complex biological datasets, evidenced by publications, presentations, and/or patents.
Exceptional communication and presentation abilities, capable of translating complex data into actionable insights and communicating to wide audiences.
Preferred Qualifications:
Expertise in experimental design, data processing, statistical analysis, and bioinformatics reporting of various NGS and microarray platforms.
Proven ability to excel in a fast-paced and dynamic environment, with a strong orientation towards teamwork.
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