Manager of Data Engineering & Delivery (Data Science Production Engineering)

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at the company, a global leader in precision medicine and genomics testing.  As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with the company's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support the company's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES

Leadership

• Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.

• Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.

• Measure, report, and maintain/improve operational effectiveness.

• Train and coach team members on new technologies, procedures, and guidelines/best practices.

Technical

• Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications

• Translate DSPE's business needs and project requirements into technical specifications and implementation plans.

• Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.

• Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.

Quality, Compliance, and Documentation

• Improve and enforce operating procedures for compliance, quality, and efficiency.

• Create training materials, and contribute to training activities, on DSPE Data Engineering & Delivery (DED) team owned data products and data systems.

Cross-Functional

• Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.

• Represent the Data Engineering & Delivery (DED) team in stakeholder meetings.

QUALIFICATIONS

• Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus.

• Minimal 5 years of relevant industry experience for candidates with a Master's Degree.  Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.

• Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.

• Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.

KNOWLEDGE, SKILLS, AND ABILITIES

• Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.

• Proficiency in data analysis and statistical techniques.

• Proficiency in data visualization tools (e.g., Tableau, Power BI, AWS QuickSight).

• Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.

• Attention to detail and a commitment to data accuracy.

• Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.

• Excellent problem-solving and critical-thinking abilities.

• Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.

• Proficiency in Git workflow and version control systems like GitHub and/or GitLab.

• Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.

• Ability to work collaboratively in a cross-functional team environment.

• Good documentation practices and coding style.

• Strong verbal and written communication skills.

• Strong interpersonal skills.

• Strong integrity.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$127,200 — $159,000 USD

OUR OPPORTUNITY

The company™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The company team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join the company, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, the company employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit [link for members] .

The company is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: [link for members]

Please be advised that the company will reach out to candidates with a @ the company  email domain ONLY. Email communications from all other domain names are not from the company or its employees and are fraudulent. The company does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. The company takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information

• BBB announcement on job scams
• FBI Cyber Crime resource page