Principal Data Engineer (BioTech)
USA | Full-time | Hybrid

We are looking for an experienced Principal Data Engineer to join our client dynamic team of extraordinary contributors from a variety of disciplines, and from both academia and industry.
The company welcome inquiries from exceptionally capable candidates of all backgrounds and levels of experience, and offer a stimulating, intellectually rigorous work environment that is also supportive, flexible, and welcoming.

Key responsibilities and objectives
  • Creating systems and infrastructure for modeling, curating, and indexing the petabytes of data generated by special-purpose supercomputers and large Linux HPC and GPU clusters
  • Implementing pipelines for processing computational and experimental data sets
  • Developing and maintaining data management policies and toolkits for drug discovery data processing

  • 10+ years of data engineering technical background
  • 3+ years in relevant industries/areas: pharma/biotech, academic labs, ML-driven startups doing drug discovery/protein research, etc.
  • Demonstrated experience with large-scale data management in the Life Sciences (ideally dealing with chemistry databases), data structures, and algorithms
  • Experience architecting infrastructure for the handling of Life Science data
  • Writing scientific software Industry experience required (above three years minimum)
  • Strong Python programming experience is a must;
  • C++ programming is nice to have

  • Very competitive base salary is determined based on multiple factors including the nature and extent of prior experience and educational background
  • Sign-on and year-end bonuses
  • Generous benefits package
  • Relocation and immigration assistance
  • Hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday
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