Lead Data Engineer AI and Biomedical Research

Position: Lead Data Engineer for AI and Biomedical Research
Join Biohub as a Lead Data Engineer to design innovative AI solutions for biomedical research in a hybrid work model. Use your expertise to impact scientific discovery globally.

In this role, you will spearhead the development of robust software systems that enable scientists to harness AI for significant breakthroughs. With extensive experience in data management and a strong background in programming, you’ll work collaboratively with a diverse team of researchers. Your responsibility will include building scalable data pipelines and ensuring the delivery of complex datasets for AI projects.

Key Responsibilities:

• Create and maintain data infrastructures supporting research

• Collaborate with multi-domain teams on AI-driven tasks

• Utilize modern tools like Databricks and Argo Workflows

• Ensure data governance and monitoring practices

• Address end-to-end data needs for AI model training

Requirements:

• Advanced degree in Computer Science or related field

• Eight years in software development and data operations

• Expertise in API and data pipeline construction

• Familiarity with containerization and cloud tools

• Problem-solving skills with cross-functional teams

Play a crucial role in evolving AI technologies for the research community at Biohub.
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