Data Architect

Harbinger Health is pioneering the detection of early cancer and enabling foundationally new approaches to cancer screening, diagnosis, and management. Incubated within Flagship Pioneering for three years before launching in 2021, Harbinger combines advances in artificial intelligence with proprietary insights into the biology of early cancer cell formation to identify cancer before it is visible or symptomatic with the aim of developing low-cost, multi-cancer blood tests.

At Harbinger, we intend to lead in shaping this future - creating a proactive paradigm so that people can live cancer-free for longer, adding years to life and life to years. We envision a future where, instead of keeping cancer from spreading, it could be kept from forming, making a cancer diagnosis a routine health problem to be addressed rather than a life-altering event to be feared with profound implications for people, healthcare systems and societies.

Our answer starts with proprietary solutions we are developing with our platform technology. By making cancer screening accessible on a global scale, Harbinger Health has the potential to fundamentally change cancer care, for everyone.

Our lifesaving work is grounded by our principles of rigor and transparency, constructive engagement, inclusiveness, accountability and quality, and a strong commitment to our customers, patients, and each other. These values drive our decisions and actions. We are a highly dynamic, entrepreneurial, and innovation-driven organization seeking collaborative, passionate, and dedicated people to join our team.

Position Summary

As the Data Architecture Lead at Harbinger Health, you will play a pivotal role in shaping the data framework and assets for our digital cloud foundation on AWS. Collaborating closely with the Cloud Architect, your responsibilities include aligning data architectures with our enterprise, scientific, and business strategies, and enforcing standards for data solutions. You will ensure that data systems and applications meet SLTs and adhere to strict information security and privacy standards. Reporting to the Senior Director / Head of IT, you will work alongside Data Science, Research, Clinical, and TechOps teams to spearhead the architecture design and deployment of data products, supporting the goals of Data Science, Bioinformatics, and Machine Learning. Additionally, you will provide data marts and analytical tools to assist other business operations.

Responsibilities:

• Develop and manage a comprehensive vision for data architecture using platforms like Snowflake and AWS, including the design of data structures and business transformation logic.

• Analyze business requirements to create conceptual and detailed data models, blueprints, and roadmaps that enable advanced data products.

• Ensure adherence to data quality standards and compliance with health and life science regulatory requirements (HIPAA, PHI, PII).

• Design logical data models based on existing applications and databases and transform these into physical configurations.

• Collaborate with vendors and team members to establish and maintain data structures.

• Maintain and evolve data architectures to incorporate the latest cloud and big data technologies.

• Develop proofs of concept to validate new data-driven solutions.

• Build and govern on-prem and cloud-native databases, operational data stores, data marts, and data lakes.

• Work with BI and Analytics teams to create optimized, reusable semantic models, ensuring metadata and lineage clarity.

• Set standards for data modeling and design, promoting best practices across the company.

• Mentor operational and business teams on data architecture requirements and designs.

• Uphold metadata standards to ensure clarity in data models, structures, and semantics.

Basic Qualifications:

• BS or MS in Computer Science, Life Science, or a related scientific field.

• 8-10+ years' industry experience in data architecture, data management, or as a Lead Data Engineer.

• 3+ years' experience in the Biotech/Life Sciences industry.

• Extensive knowledge of big data technologies and experience in modern data architecture designs such as data lakes, data meshes, and data fabrics.

• Proficiency in object-oriented programming languages like Scala, Java, and Python, and expertise in various database types (transactional, object, document, and graph).

• Experience in managing implementation and service vendors.

• Familiarity with enterprise data governance programs.

• Comprehensive experience with cloud technologies, APIs, backup solutions, Disaster Recovery, and IT Ops.

• Skills in designing and building data processing pipelines using tools like Nextflow or Airflow.

• An understanding of the Machine Learning lifecycle and its applications.

• Strong analytical, problem-solving, and documentation skills capable of handling complex challenges independently.

Preferred Qualifications:

• Experience working in the diagnostics industry.

• Experience working within CLIA/CAP laboratories and/or under FDA regulated products.

Harbinger Health is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Recruitment & Staffing Agencies: Harbinger Health does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Harbinger Health or its employees is strictly prohibited unless contacted directly by Harbinger Health's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Harbinger Health, and Harbinger Health will not owe any referral or other fees with respect thereto.