AQEMIA

Data Engineer

• Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery
• Model canonical scientific entities such as compounds, structures, assays and predictions
• Establish identity, provenance and trustworthy lineage across heterogeneous and messy sources
• Set and uphold data quality standards through monitoring, validation, testing and alerting
• Strengthen data governance and observability so datasets remain trusted and accessible
• Partner with ML engineers, data scientists and researchers to build curated, model-ready datasets
• Translate scientific and business requirements into scalable data solutions
• Drive data architecture and engineering best practices, including data modeling, testing, documentation, orchestration and deployment
• Collaborate with the Engineering Manager and Staff Data Engineer on roadmap execution
• Build self-service capabilities and future APIs for service-based integration and automation
• Conduct code reviews and mentor junior engineers

Senior Data Engineer

Principal

• Drive the identification, validation, and selection of novel biological targets aligned with clear unmet medical needs
• Contribute to early-stage project ideation through deep biological insight and understanding of the drug discovery value chain
• Guide programs from early discovery into the AQEMIA pipeline, supporting progression toward proof of concept
• Design, implement, and maintain screening cascades for efficient compound evaluation and decision-making
• Partner with project teams to provide biological expertise, identify risks, and support data-driven prioritization
• Manage and collaborate with external CROs to define experimental strategies and generate high-quality, decision-enabling datasets
• Foster cross-functional collaboration across biology, chemistry, modeling, and platform teams
• Help shape AQEMIA’s portfolio of small molecule programs, initially focused on oncology and immuno-oncology
• Work closely with the VP of Biology and multidisciplinary teams to accelerate discovery of clinical candidates
• Provide biological support across the AQEMIA portfolio

Senior Data Engineer

Principal Biologist