Senior Data Scientist – Perturbation Biology
AmgenHyderabad, Telangana, India
Posted January 5, 2026
Full Time
About the Company
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We helped establish the biotechnology industry, and we remain on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. Our investment in research and development has yielded a robust pipeline that builds on our existing portfolio of medicines to treat cancer, heart disease, osteoporosis, inflammatory diseases and rare diseases. Amgen is one of 30 companies comprising the Dow Jones Industrial Average®, and part of the Nasdaq-100 Index®. In 2024, Amgen was named one of the “World’s Most Innovative Companies” by Fast Company and one of “America’s Best Large Employers” by Forbes. For more information, visit Amgen.com and follow us on X, LinkedIn, Instagram, TikTok, YouTube and Threads. 🔗 Community Guidelines: https://wwwext.amgen.com/community-guidelines 🔗Global Privacy Statement Directory: www.amgen.com/dp Special Advisory: Please be cautious of scam recruitment offers claiming to be from Amgen. Such scams may come from various sources, including fake websites and/or unsolicited emails and seek to obtain personal data or payment from victims by offering jobs that do not exist. Please be advised that Amgen would never ask for payment to progress a job application. When in doubt, please check to see if the position in question is posted on this website before applying. Additionally, please report any suspicious recruiting activity to https://complaint.ic3.gov/ and thank you for your assistance.
Job Description
Seeking a Senior Data Scientist to join the Bioinformatics Technologies team within Amgen’s Automation, Research Data Systems, Informatics, and AI (ARIA) organization. The successful candidate will develop and apply advanced computational and AI/ML methods to analyze perturbation screening data and collaborate with experimental teams to ensure computational predictions translate into actionable insights for target and therapeutic discovery.
Requirements
- Develop and apply advanced methodologies at the intersection of functional genomics and AI/ML analytics
- Provide computational and data science support for high-throughput single-cell perturbation and phenotypic screening experiments
- Drive digital innovation by identifying gaps in analytical workflows and developing robust, reproducible, and FAIR solutions
- Build and apply machine learning, deep learning, and generative AI approaches to simulate cellular responses to single or combinatorial genetic and non-genetic perturbations