Senior Data Scientist – Surfaceome Biology
On-site · Hyderabad, Telangana, India
Job Summary
Join Amgen's Bioinformatics Technologies team as a Senior Data Scientist focusing on computational biology. Develop and apply advanced AI/ML methods to analyze and model surfaceome data, and collaborate with experimental teams for therapeutic discovery. Responsibilities include building workflows for integrating datasets, designing tools for protein localization, and applying generative modeling for novel antigen candidates. The position requires experience in computational and data science method development, proficiency in programming languages such as Python or R, and collaboration skills to produce actionable biological insights.
Required Qualifications
- Any degree and 8-13 years of directly related experience.
Desired Qualifications
- Demonstrated expertise in computational and data science method development for short- and long-read transcriptomics, polysome sequencing, proteomics, multi-omics integration, or surfaceome characterization.
- Strong background in machine learning and AI, including deep learning and generative modeling; experience with pre-training, fine-tuning, and few-/zero-shot learning, ideally experience with in silico modeling of cellular surface protein biology.
- Proficiency in scientific programming languages and tool development using Python, R, or similar, with familiarity in relevant libraries and frameworks.
- Experience with large-scale data processing using cloud computing, workflow development, and software best practices (e.g., version control, continuous integration, test-driven development).
- Familiarity with agentic AI, digital innovation approaches, and FAIR data principles for building robust and scalable analytical workflows.
- Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery.
- Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy.
- Strong interpersonal and collaborative skills with demonstrated ability to thrive in cross-functional teams and effectively present results to diverse audiences.
- Creative, open-minded, and passionate about research, with a proven record of innovative algorithm and model development demonstrated through impactful publications, patents, or widely adopted tools.
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