Scientist, Biomarker Analysis — Amgen
Location: Hyderabad
Work Type: On-site
Job ID: R-243255
Category: Research
Posted: May 4, 2026
Apply Here:
Amgen Careers – Scientist, Biomarker Analysis
Role Overview
The Biomarker Analysis Scientist will support Amgen’s global Precision Medicine and Computational Biology teams by delivering biomarker and translational analytics for clinical development programs across:
Oncology
Inflammation
Rare Diseases
Cardiovascular & Metabolic Diseases
Obesity & Related Disorders
The role focuses on extracting biological and clinical insights from complex clinical trial datasets using advanced statistical, computational, and AI-driven methods.
Key Responsibilities
Biomarker & Translational Analytics
Design and execute biomarker analyses for clinical trials.
Support:
Target engagement
Patient stratification
Pharmacodynamic modeling
Mechanism-of-action studies
Indication selection
Benefit-risk assessments
Multi-Omics & Clinical Data Integration
Work with high-dimensional datasets including:
Genomics
Transcriptomics
Proteomics
Metabolomics
Epigenomics
Spatial omics
Imaging data
Single-cell datasets
Statistical & Computational Modeling
Build quantitative analysis plans and statistical models.
Apply:
Regression models
Mixed-effects models
Multivariate analysis
Predictive/prognostic biomarker frameworks
Machine learning and AI methods
Cross-Functional Collaboration
Partner with:
Clinicians
Biologists
Assay scientists
Data engineering teams
Global stakeholders across US/EU time zones
Communication & Reporting
Present scientific insights clearly.
Prepare reports, presentations, and analytical summaries for diverse audiences.
Basic Qualifications
Education + Experience
One of the following:
PhD + 3 years relevant experience
Master’s + 5 years relevant experience
Bachelor’s + 7 years relevant experience
Preferred Qualifications
Educational Background
PhD (preferred) in:
Bioinformatics
Computational Biology
Statistics
Applied Mathematics
Computer Science
Data Science
Related quantitative disciplines
Technical Skills
Data & Analytics
Experience with:
Large-scale biological datasets
Clinical trial analytics
Longitudinal and multi-modal data
Statistical Expertise
Strong understanding of:
Regression analysis
Mixed models
Correlation and causal inference
Biomarker analytics frameworks
AI & Machine Learning
Practical ML/AI application in biological or clinical data
Clinical trial experience preferred
Biomarker Platforms
Knowledge of:
NGS
Flow cytometry
IHC
Immunoassays
Imaging
Transcriptional profiling
Programming
Proficiency in:
R
Python
Git/GitLab
Reproducible research workflows
tidyverse and modern data science libraries
Industry & Translational Experience
Preferred:
Pharma/biotech drug development experience
Clinical biomarker support experience
Assay development and validation knowledge
Peer-reviewed scientific publications
Soft Skills & Collaboration
Strong candidates should demonstrate:
Excellent English communication
Global collaboration experience
Critical thinking
Scientific curiosity
Adaptability
Ability to work across time zones
Cross-functional stakeholder management
What Makes a Strong Candidate
Top applicants typically show:
End-to-end ownership of biomarker analyses
Strong applied statistics background
Real impact on clinical development decisions
Experience in global pharmaceutical organizations
Ability to thrive in ambiguous environments
Why This Role Matters
This position provides an opportunity to:
Influence global drug development programs
Work on cutting-edge precision medicine initiatives
Help build Amgen India’s translational analytics capability
Apply AI and computational biology to real clinical impact
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | kanpur | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
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Delhi | India | New Delhi | PAN-India |Assam :
Dibrugarh | Diburghar | Guwahati |West Bengal :
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Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
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Ranchi |Sikkim :
Rangpo |India :
Remote, India | Siliguri |Illinois :
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Appleton | Kenosha | Pleasant Prairie | Portage | Waukesha |United states :
Arizona | Buffalo Grove | Clayton | Downers Grove | fairmont | Georgia | Keene | Michigan | Mt. Pleasant | New Jersy | OH | Piedmont | Salisbury | United States | Whitesboro | Winston-Salem |Georgia :
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Bangor | Brewer |New Jersey :
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Dickinson |Minnesota :
Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
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Frank Scottile Blvd |Missouri :
Fulton | Milan | St. Louis |United States :
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Hilo | Honolulu |Tennessee :
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Mexico |northeastern :
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Tuscaloosa |D.C :
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Wilmington |North Rhine Westphalia :
Aachen | Bielefeld | Bochum | Bonn | Cologne | Dortmund | Duisburg | Dusseldorf | Munster |Munich :
Bavaria |Bavaria :
Bayreuth | Erlangen | Munich | Regensburg | Wurzburg |Brandenburg :
Berlin |Baden-Wurttemberg :
Biberach an der Riß | Freiburg | Grenzach | Heidelberg | Karlsruhe | Konstanz | Stuttgart | Tubingen | Ulm |Hesse :
Darmstadt | Marburg |Hessen :
Frankfurt | Harveysburg |Germany :
Germany | GErmany |Lower Saxony :
Gottingen | Hannover | Leipzig |Saxony Anhalt :
Halle |Rotherbaum :
Hamburg |Rhineland Palatinate :
Ingelheim am Rhein | Mainz |Schleswig Holstein :
Kiel |Berlin :
Mitte |Mecklenburg Vorpommern :
Rostock |Saarland :
Saarbrucken |Switzerland :
Basel | Zurich |Serbia :
Belgrade | Serbia |Hungary :
Budapest |BULGARIA :
Bulgaria | Vedant |Denmark :
Copenhagen | Denmark |Europe :
Europe | France | Latvia | Lendava | Leuven | Poland | Slovenia | Spain |Finland :
Finland |Istanbul :
Istanbul | Turkey |Norway :
Norway | NOrway |Romania :
Romania |Belgium :
Wavre |Tipperary :
Ballydine |Cork :
Brinny | Ringaskiddy |Carlow :
Carlow |Republic of Ireland :
Cork | Dublin | Limerick | Waterford |Ulster :
Donegal |Meath :
Dunboyne |Dún Laoghaire :
Dún Laoghaire |Galway :
Galway |County Dublin :
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China | Quarry Bay |Liaoning :
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Hangzhou |Tokiyo :
Osaka | Tokyo |Shanghai Sai :
Shanghai Shi |Hubei :
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Leiden |Netherlands :
Netherlands |Remote Australia :
Arkansas | Remote Australia |New South Wales :
Ballina | Sydney |Republic of Western Australia :
Nedlands |Queensland :
Queensland |Melbourne :
South Yarra |United Kingdom :
England | Harlow | Leeds | London | Maidenhead | Salt Lake City | Stevenage | Stirling | United Kingdom |North Yorkshire :
Harrogate |South Yorkshire :
Sheffield |Oxfordshire :
Witney |Ontario :
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Montreal |Brussels :
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Heist op den Berg |Flemish Brabant :
Zaventem |South America :
Peru | Argentina |Brazil :
Brazil | Sao paulo |Attica :
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Greece |North Island :
Auckland |New Zealand :
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Barcelona |Madrid :
Madrid |Cebu Province :
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Manila |Croatia :
Croatia |Zagreb :
Zagreb |Estonia :
Estonia | Tartu |Harju County (Maakond) :
Tallinn |Hà Nội :
Hanoi | Hà Nội |Ho Chi Minh :
Ho Chi Minh City |Italy :
Italy |Lombardy :
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Saitama | Japan |Tokyo :
Otemachi |North Ostrobothnia :
Oulu |Southwest Finland (Varsinais-Suomi) :
Turku |Remote Korea :
Remote Korea |Republic of Korea :
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Kuala Lumpur |Kyiv Oblast :
Kyiv |Lima Region :
Lima |France :
Paris | Lyon |South Africa :
Midrand | South Africa |Nišava District :
Niš |Bohemia :
Prague |Chile :
Santiago |Bosnia and Herzegovina :
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Singapore |Sofia City :
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Sweden |Taipei :
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