
location_on4, East 64th Street, Lenox Hill, Manhattan Community Board 8, Manhattan, New York County, New York, 10065, United States
The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers—developers, small and large businesses, educational institutions, and government agencies—see the benefits of our technology come to life.
As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes using technology to connect with customers, employees, and partners. Google Cloud accelerates every organization's ability to digitally transform its business and industry, delivering enterprise-grade solutions that leverage Google's technology and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Work model: On-site
4, East 64th Street, Lenox Hill, Manhattan Community Board 8, Manhattan, New York County, New York, 10065, United States
New York, New York
Experience with structured enterprise architecture practices, hybrid cloud deployments, and on-premise-to-cloud migration deployments (e.g., migrating on-prem HPC clusters to the cloud). Experience with AI/ML applied to drug discovery, computational chemistry, bioinformatics tools (e.g., GATK, Nextflow, Cromwell), and healthcare data standards (e.g., OMOP, HL7/FHIR, CDISC). Experience with computing solutions, especially for building, architecting, designing, and implementing highly distributed global cloud-based systems for clinical data or genomic sequencing. Knowledge of technology solutions in the Pharma/Life Sciences space. Ability to drive and influence audiences and identify expansion engagements within global pharmaceutical accounts.
Skills: Computer Science, Bioinformatics, Computational Biology, Cloud Computing, Structured Enterprise Architecture, Hybrid Cloud, On-Premise-To-Cloud Migration, HPC, Ai, ML.
Education: Bachelor's degree in Computer Science, Bioinformatics, Computational Biology, or equivalent practical experience.