PHARMAFull time
Senior Data Scientist – Perturbation Biology & AI
By Admin · Data Science, Analytics & AI
HYDERABAD (IN)ONSITEPOSTED: 10/23/2026
PHARMAFull time
HIRING ORGANIZATIONAMGENBiotechnology / Pharmaceuticals
ROLE OVERVIEW
Amgen is hiring a senior computational scientist in Hyderabad to build AI and machine-learning methods for perturbation screening data. The role sits in the Bioinformatics Technologies group within Amgen's ARIA organisation and supports target validation, mechanism-of-action work and biomarker discovery.
ROLE DEFINITION & RESPONSIBILITIES
- •Develop and apply methods that combine functional genomics with AI/ML analytics to find and validate therapeutic targets, explain mechanisms of action and identify preclinical biomarkers.
- •Provide computational and data science support for high-throughput single-cell perturbation and phenotypic screening experiments such as Perturb-seq, mapping gene–phenotype relationships and prioritising hits.
- •Spot gaps in analytical workflows and build robust, reproducible, FAIR solutions that improve data interpretability and readout confidence.
- •Apply machine learning, deep learning and generative AI to simulate cellular responses to single or combinatorial genetic and non-genetic perturbations.
- •Collaborate with experimental biologists and translational teams so computational predictions align with experimental design and biological context.
- •Contribute to the design of perturbation experiments so computational and experimental approaches strengthen each other.
- •Present insights from complex data clearly and accurately to diverse audiences.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Any degree
- 8–13 years of directly related experience
PREFERRED QUALIFICATIONS
- •Demonstrated expertise in method development for functional genomics and perturbation screens, ideally with single-cell omics technologies
- •Strong machine learning and AI background including deep learning, generative modelling and transformer-based architectures, with experience in pre-training, fine-tuning and few-/zero-shot learning
- •Ideally, experience in in silico modelling of cellular responses to drug or genetic perturbations
- •Proven track record of applying computational methods to drive biological insights, target validation, biomarker discovery or therapeutic hypothesis generation
- •Experience with large-scale data processing using cloud computing and workflow development, plus software best practices such as version control, continuous integration and test-driven development
- •Familiarity with agentic AI, digital innovation approaches and FAIR data principles
- •Familiarity with molecular and disease biology and the ability to contextualise computational findings in therapeutic discovery
- •Excellent analytical and communication skills
- •Strong interpersonal and collaborative skills for cross-functional teams
- •Record of innovative algorithm and model development shown through publications, patents or widely adopted tools
REQUIRED VERIFIED SKILLS
Computational biology
AI/ML
Functional genomics
Molecular biology
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
ORGANIZATION CONTEXT & CULTURE
Amgen is a biotechnology company. Its ARIA organisation is a multidisciplinary group within the discovery engine that applies digital technologies to disease modelling and digital modality engineering, and the Bioinformatics Technologies team inside it develops and deploys computational biology methods for therapeutic discovery.
TEAM SIZE: 25,000+ employees
INDUSTRY: Biotechnology / Pharmaceuticals
APPLICATION ADVISORY
Lead with concrete examples of method development for functional genomics or perturbation screens, especially work involving single-cell omics data such as Perturb-seq. Show where your deep learning or generative modelling work produced predictions that guided target validation, biomarker discovery or experimental design. Publications, patents or tools that others have adopted carry weight here, as does evidence of cloud-scale pipelines built with version control and testing practices.
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