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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We deliver insights, products, and services that make quality care more accessible and affordable. At McKesson, we foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people.
Join the Ontada team, a dynamic and entrepreneurial organization backed by McKesson, focused on transforming oncology care. Ontada develops technologies used by oncology providers to deliver evidence-based, personalized care and generates insights for biopharma companies to accelerate drug development and support the entire treatment journey. Our work powers informed decision-making at every pivotal moment in oncology—from treatment selection to clinical trial design to real-world evidence generation.

POSITION SUMMARY

Ontada’s Data Engineering team is seeking a Senior Oncology Biomarker Data Engineer to lead strategic initiatives focused on biomarker and genomics data integration and analytics. This role is critical in designing and maintaining scalable data platforms that support oncology research, clinical workflows, and real-world evidence generation. You will collaborate with data scientists, clinical experts, and software engineers to build robust data pipelines that ingest, transform, and harmonize biomarker, genomic, and clinical data from diverse sources.
This position requires deep expertise in data engineering, cloud technologies, and healthcare data standards, with a strong commitment to delivering high-quality, scalable solutions that support oncology precision medicine.

EDUCATION

Master’s or Bachelor’s degree in Computer Science, Bioinformatics, Genomics, Data Science, or a related field—or equivalent experience.

CRITICAL SKILLS

• 7+ years of experience in data engineering, data management, or bioinformatics, with a minimum of 2-3 years of pipeline development for genomics/biomarker data
• 5+ years in technical leadership roles managing cross-functional teams.
• 5+ years of experience with Azure cloud platform.
• Experience working with large-scale healthcare or life sciences data platforms.

ADDITIONAL SKILLS

• Experience in building and optimizing data pipelines in platforms like Azure Databricks.
• Deep experience with genomics data processing, including but not limited to Next-Generation Sequencing (NGS) data pipelines and Integration of multi-omics datasets (e.g., proteomics, transcriptomics)
• Proficiency in SQL, Python, PySpark, or Scala for data transformation and automation.
• Familiarity with healthcare data standards (e.g., HL7, FHIR, OMOP, CDISC).
• Experience supporting machine learning workflows, including feature engineering and model deployment.
• Knowledge of Agile, DevOps, CI/CD, and GitHub workflows.
• Experience with Linux/Unix environments.

PREFERRED SKILLS

• Experience with oncology-specific datasets (e.g., OncoKB, COSMIC, cBioPortal).
• Knowledge of how to handle and process genomic data sets.
• Expertise in modern cloud-native database solutions.
• Ability to design scalable architectures for distributed systems and microservices.
  Candidates must be authorized to work in USA. Sponsorship is not available for this role.
  We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson’s pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Please refer the Job description for details