Scientist – Biomarker Analysis
Company: Amgen
Location: Hyderabad, Telangana, India
Job Type: Full-Time | On-Site
Experience: 7 – 10+ Years (Biomarker Analytics / Translational Science / Bioinformatics)
Qualification: PhD / Master’s / Bachelor’s Degree in Bioinformatics, Computational Biology, Statistics, Data Science, Applied Mathematics, or related quantitative field
Approx Salary: ₹35 LPA – ₹60 LPA
Job Overview
Amgen is hiring a Scientist – Biomarker Analysis to support translational and clinical biomarker analytics across its global drug development programs.
This role focuses on analyzing complex clinical and biological datasets, integrating multi-omics and clinical metadata, and generating insights that support precision medicine strategies, clinical trial decision-making, and drug development programs.
Key Responsibilities
1. Biomarker & Translational Analysis
Design and execute biomarker analyses to support clinical development programs.
Perform analyses related to target engagement, pharmacodynamic modeling, patient stratification, and mechanism of action validation.
Support benefit–risk assessments and indication selection for clinical programs.
2. Multi-Omics Data Integration
Analyze complex datasets including:
Genomics and transcriptomics
Proteomics and metabolomics
Epigenomics and spatial omics
Imaging and clinical metadata
Develop analytical workflows for multi-modal clinical data integration.
3. Advanced Statistical & Computational Analysis
Apply statistical models such as regression, mixed-effects models, multivariate methods, and predictive biomarker modeling.
Translate biological and clinical questions into quantitative analysis frameworks.
Perform data mining, visualization, and knowledge discovery across multiple datasets.
4. Cross-Functional Collaboration
Collaborate with biologists, clinicians, assay scientists, and data engineers.
Integrate internal clinical trial data with external datasets and public omics resources.
Present analytical insights through reports, presentations, and technical documentation.
5. AI & Data Innovation
Utilize machine learning and AI methodologies to enhance biomarker discovery and analysis.
Apply data-driven approaches to accelerate translational research and drug development.
Required Skills
Technical Skills
Strong background in biomarker analytics and translational research
Experience analyzing large-scale biological and clinical datasets
Proficiency in R and Python for scientific computing and statistical modeling
Familiarity with multi-omics data analysis and integration techniques
Experience with version control tools such as Git/GitLab
Statistical & Data Science Skills
Expertise in regression models, mixed-effects modeling, and multivariate analysis
Knowledge of machine learning techniques applied to biomedical datasets
Experience with clinical biomarker data platforms
Preferred Qualifications
Experience supporting drug development programs in biotech or pharmaceutical companies
Knowledge of clinical biomarker technologies, including:
Next-Generation Sequencing (NGS)
Flow cytometry
Immunohistochemistry (IHC)
Imaging and transcriptional profiling
Evidence of scientific contributions through peer-reviewed publications
Familiarity with assay development and validation for clinical trials
Key Competencies
Biomarker modeling and translational analytics
Multi-omics data integration and analysis
Clinical trial data interpretation
Machine learning and AI in biomedical research
Cross-functional scientific collaboration
About the Company
Amgen is a global biotechnology leader dedicated to developing innovative medicines for serious diseases. With over 40 years of scientific leadership, Amgen integrates advanced biology, data science, and precision medicine to accelerate drug discovery and improve patient outcomes worldwide.
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