Data Engineer

Data Engineer

About the Job:

Data Scientists and Engineers are sought to join our interdisciplinary team in New York City. This highvisibility highimpact role will offer an exciting opportunity to create data infrastructure for our drug discovery efforts working closely with our worldclass team of chemists biologists machine learning engineers and researchers and computer scientists.

Successful hires will directly contribute to creating systems and infrastructure for modeling curating and indexing the petabytes of data generated by our specialpurpose supercomputers and our large

Linux HPC and GPU clusters; to implementing pipelines for processing computational and experimental data sets; and to developing and maintaining data management policies and toolkits for drug discovery data processing.

Ideal candidates will have extensive experience with largescale data management; strong Python programming skills; experience with ML systems frameworks and data lifecycles; and a background in data structures and algorithms. Relevant areas of expertise include engineering of largescale chemical databases experience with architecting infrastructure for the handling of life science data fluency with UNIX/Linux commandline tools like awk and sed and familiarity writing scientific software but specific knowledge of any of these areas is less critical than intellectual curiosity versatility and a track record of achievement.

We are looking to add innovative contributors who share our commitment to fostering a stimulating positive and collaborative work environment. We strive to support the personal and professional needs of our team members by offering opportunities for community engagement and a variety of learning and development programs.