Amgen Hiring for Scientist Research Computational Biology ARIA role in Hyderabad. Explore responsibilities, qualifications, skills, and detailed application process.
Amgen is one of the world’s leading biotechnology companies, dedicated to discovering, developing, and delivering innovative therapies that improve patient lives. The organization continues to invest heavily in cutting-edge research initiatives that advance scientific understanding while accelerating the development of transformative medicines. As part of this mission, the ARIA Computational Biology team at Amgen is inviting applications for the position of Scientist – Research Computational Biology. This is a full-time, on-site role based in Hyderabad, India, offering a unique opportunity to work within a dynamic and collaborative research environment. Amgen Hiring for Scientist Research Computational Biology
This long-format SEO-optimized job post provides complete information about the role, responsibilities, skills required, preferred qualifications, and the steps on how to apply.
Introduction to the Role
The ARIA Computational Biology team is central to Amgen’s goal of identifying, validating, and prioritizing potential therapeutic targets across numerous disease areas. With rapid advancements in multi-modal data generation, long-read sequencing, single-cell technologies, and integrative analysis platforms, the need for computational biologists who can interpret complex biological datasets has never been greater. Amgen Hiring for Scientist Research Computational Biology
This role is designed for individuals who possess deep scientific expertise in computational biology, strong analytical skills, and a passion for leveraging data to drive impactful biomedical discoveries. The successful candidate will work closely with scientists across multiple disciplines to support the progression of next-generation therapeutic programs. Amgen Hiring for Scientist Research Computational Biology
Job Description
The Scientist – Research Computational Biology in the ARIA team will be deeply involved in turning large-scale biological data into actionable insights. The role requires the ability to analyze complex multi-omics datasets, understand disease mechanisms, evaluate therapeutic hypotheses, and contribute to Amgen’s therapeutic discovery pipeline.
The candidate will have the opportunity to work with state-of-the-art technologies including long-read transcriptomics, proteomics, and single-cell sequencing. Collaboration will be a fundamental part of this position, as the scientist will engage cross-functionally with research teams, data science groups, and information systems departments.
Key Focus Areas
The position covers several critical research and technical domains:
1. Extracting Biological Insights from Complex Data
One of the core responsibilities will be to analyze large and multi-modal datasets such as:
- Single-cell RNA sequencing data
- Long-read transcriptomic datasets
- Proteomic screening data
- Disease mechanism and endotype datasets
The scientist will identify novel targets, characterize disease subtypes, explore therapeutic hypotheses, and integrate findings to help shape Amgen’s research priorities. Amgen Hiring for Scientist Research Computational Biology
2. Developing Analytical Platforms for Target Prioritization
The role involves creating and refining computational platforms and tools that support:
- Prioritization of therapeutic targets across different disease areas
- Integration of multi-omics data
- Systematic characterization of gene expression profiles
- Analysis of isoform complexity across tissues or disease states
These platforms will directly aid decision-making across therapeutic research teams.
3. Advancing Isoform Discovery Capabilities
Amgen is placing emphasis on identifying novel, disease-enriched RNA and protein isoforms. The candidate will: Amgen Hiring for Scientist Research Computational Biology
- Work with long-read transcriptomics
- Integrate sequencing and screening technologies
- Explore isoform usage patterns
- Understand complex gene expression regulation
This insight will help identify previously unrecognized therapeutic opportunities.
4. Partnering with Data Science and Engineering Teams
A major part of the ARIA platform’s success involves collaboration with:
- Data engineering teams
- Information systems groups
- Cloud computing teams
The scientist will help incorporate internally developed tools into centralized R&D environments such as: Amgen Hiring for Scientist Research Computational Biology
- Workflow management systems
- Data browsing portals
- High-performance computing pipelines
- Interactive analysis platforms such as RShiny apps
This partnership ensures that innovative analytical capabilities are accessible across the organization. Amgen Hiring for Scientist Research Computational Biology
Basic Qualifications
To be considered for this role, candidates must meet the following minimum requirements: Amgen Hiring for Scientist Research Computational Biology
Educational Background
- Ph.D. in Computational Biology, Bioinformatics, Data Science, or a related field
OR - Master’s degree with at least 3+ years of relevant research experience
Technical Skills
- Strong programming skills in Python and R
- Proficiency in Linux/Unix environments
- Experience with cloud computing environments
- Familiarity with high-performance computing (HPC)
- Ability to use collaborative development platforms such as Git
Research Skills
- Demonstrated experience in designing comprehensive computational strategies
- Proven ability to analyze and interpret single-cell omics data
- Ability to derive biological conclusions from multi-modal data
Communication and Mindset
- Excellent written and oral presentation skills
- Ability to communicate complex findings to technical and non-technical audiences
- Self-driven, highly motivated individual
- Strong collaborative and growth-oriented mindset
Preferred Qualifications
While not mandatory, the following qualifications will give candidates a competitive edge: Amgen Hiring for Scientist Research Computational Biology
1. Background in Immunology
A strong understanding of immunology, particularly its application in:
- Oncology
- Inflammatory diseases
- Single-cell data interpretation
2. Understanding of Isoform Biology
Knowledge of:
- RNA and protein isoform diversity
- Biological importance of isoform regulation
- Computational methods for isoform discovery using long-read sequencing
3. Experience with Foundation Models
Familiarity with:
- Transcriptional foundation models
- Biomedical knowledge graphs
- Fine-tuning AI models for biological interpretation
4. Familiarity with Public Biological Databases
Ability to work with datasets including:
- DepMap
- Human Cell Atlas
- TCGA
- GTEx
- Tahoe-100M
5. Tool and Pipeline Development Experience
Hands-on experience developing:
- Interactive portals (e.g., RShiny)
- Workflow tools such as Nextflow
- Agentic computational frameworks
- R&D data visualization systems
Why Join Amgen’s ARIA Computational Biology Team?
Joining this team places candidates at the forefront of modern biomedical discovery. Amgen provides: Amgen Hiring for Scientist Research Computational Biology
- A collaborative and innovative scientific environment
- Access to cutting-edge omics technologies
- Opportunities to contribute to life-changing therapeutic development
- State-of-the-art computing resources and cross-functional collaboration
- Strong career development pathways
This role is ideal for computational biologists passionate about applying data science to real-world biomedical challenges. Amgen Hiring for Scientist Research Computational Biology
How to Apply
Interested candidates can apply for the Scientist – Research Computational Biology (ARIA) position through the official Amgen careers portal. Here are the steps:
- Visit the official Amgen Careers website.
- Search for the Job Requisition ID R-226936.
- Review the job details and click on Apply.
- Create an account or sign in to your existing Amgen application profile.
- Fill out the online application form with accurate details.
- Upload your updated resume/CV and any supporting documents.
- Submit your application and await further communication from the recruitment team.
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