Senior Data Scientist – Surfaceome 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
We are seeking a highly qualified and motivated Senior Data Scientist with a strong background in computational biology to join the Bioinformatics Technologies team within Amgen’s Automation, Research Data Systems, Informatics, and AI (ARIA) organization.
Requirements
- Develop novel AI/ML, computational, and data science methods for processing, integrating, and analyzing multi-modal datasets
- Build workflows to harmonize and integrate public and internal datasets for constructing comprehensive multi-modal surfaceome atlases
- Design computational tools and predictive models for protein localization, topology, and internalization behavior
- Apply generative modeling and representation learning to propose novel antigen candidates or antigen combinations with desirable therapeutic attributes
- Collaborate with experimental and translational teams to design and guide validation experiments
Benefits
- Opportunity to work on cutting-edge research and development projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities