Director, Scientific Compute & AI Platforms

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><p>You will lead the AIN-based data science organization that builds and operates scientific computational, data, and AI/ML pipelines and workflows for Amgen Research. You will operate across India/EU/US (Eastern, Central, Pacific) time zones and coordinate outcomes across the ARIA, Global Research, ATMOS Tech, and ATMOS AI&amp;D. You will own portfolio outcomes across the Research data ecosystem, AI/ML for research, and high-performance computing enablement, ensuring robust, resilient pipelines and reliable, scalable services.</p><p></p><h1>Core Responsibilities</h1><ul><li>Set multi-year strategy, organization design, and investment roadmap for research compute &amp; AI platforms.</li><li>Establish standards and promote methods for robust, resilient computational and data science pipelines; drive adoption and measure cycle-time impact.</li><li>Govern capacity, cost, and quality: quotas, GPU utilization, $/compute-hour, and SLA attainment.</li><li>Partner on schemas, vocabularies, lineage, and compliance with Reseach data stewards.</li><li>Coordinate instrument onboarding and lab software integrations with RA&amp;T.</li><li>Mentor and grow L5/L4 engineers; develop on-call rotations and technical leadership bench.</li></ul><p></p><h1>Core Competencies</h1><ul><li>Enterprise strategy, product/platform thinking, and financial acumen.</li><li>Global change leadership; cross-cultural communication across time zones.</li><li>Platform engineering literacy: containers/Kubernetes; workflow orchestration (Nextflow/Airflow/Argo/Prefect).</li><li>Compute literacy: HPC schedulers (Slurm) and/or distributed compute (Spark/Ray/Databricks).</li><li>Data governance literacy: schemas, vocabularies, lineage, and compliance.</li><li>Executive communication; stakeholder management across science, engineering, and operations.</li></ul><h1></h1><h1><span>Qualifications</span></h1><ul><li>Basic: Bachelor’s degree required; advanced degree (MSc/PhD) preferred</li><li>Scientific literacy: Training and experience in chemistry, biology, or related scientific fields</li><li>Domain literacy: Familiarity with R&amp;D domains (biology, chemistry, protein science, computational sciences) and experience partnering closely with scientists.</li><li>Technical literacy: Python plus one of Java/Scala/C&#43;&#43;; containers/Kubernetes; workflow orchestration; HPC schedulers; distributed compute; data lakehouse; CI/CD</li><li>Experience: 18–24 years in platform/software/data leadership with cross‑region operations; budget/vendor management; policy/standards influence</li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.