Hyderabad Telangana Ground staff Jobs – 48 Open Jobs Today

Principal Image Analysis Scientist, Digital Pathology
Amgen —Hyderabad, Telangana
- Computer science
- Doctoral degree
- Master's degree
NetSuite Administrator
CACI Ltd —Hyderabad, Telangana
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Senior Manager - Intelligent Automation
JLL —Hyderabad, Telangana
- Azure
- Master's degree
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Senior Manager, Intelligent Automation
JLL —Hyderabad, Telangana
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Senior Engineer, Structural Analysis - SACS
TechnipFMC —Hyderabad, Telangana
- Civil engineering
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Senior Site Reliability Engineer
CACI Ltd —Hyderabad, Telangana
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NetSuite Administrator
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Reporting to our Senior NetSuite Consultant in the Technology department and working alongside our team of NetSuite developers, you will work with the various…
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Principal Image Analysis Scientist, Digital Pathology

Amgen -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

TensorFlow
Computer science
Image processing
Doctoral degree
PyTorch
Computer vision
R
Master's degree
Machine learning
Data management
Deep learning
AI
Communication skills
Python

Full job description

India - Hyderabad

JOB ID: R-236589 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 16, 2026 CATEGORY: Scientific

Job Description:

At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, developing, and delivering ever-better products that reach over 10 million patients worldwide.

We are currently seeking a Principal Image Analysis Scientist, Digital Pathology, based in India, to join our growing Computational Imaging and Digital Biomarkers team and advance the use of artificial intelligence for medical image analysis. This role will focus on developing and applying cutting-edge algorithms to imaging data, with the goal of enabling new insights to drive precision medicine strategies. The successful candidate will leverage their expertise in computer vision and AI to interrogate complex microscopy (standard H&Es, IHC, and high-plex IF) and spatial omics data, driving innovations in biomarker discovery, companion diagnostics, and precision medicine.

Live – What you will do

In this vital role, you will:

Design, implement, and optimize machine learning and AI-based algorithms for image analysis, segmentation, classification, and prediction tasks.
Explore and evaluate novel approaches in deep learning, computer vision, and generative modeling applied to digital pathology datasets.
Develop robust pipelines for preprocessing, quality control, and large-scale analysis of multi-modal imaging datasets (chromogenic, multiplex IF, spatial-omics).
Establish rigorous evaluation frameworks, including internal benchmarking against ground truth data and external validation datasets.
Contribute to reproducibility and scalability of AI methods for clinical and research applications.
Partner with pathologists and data scientists to translate clinical challenges into computational problems.
Train junior analysts and support onboarding of new staff
Document image processing workflows in compliance with internal SOPs
Collaborate with global teams to align imaging deliverables with project timelines
Contribute to the integration of AI technologies in imaging workflows and digital pathology applications

Win – What we expect of you

Basic Qualifications:

PhD or Master’s degree (with 8-10 years of experience) in Life Sciences, Computer Science, Biomedical Engineering, Electrical Engineering, Applied Mathematics, or related field.
Strong background in computer vision, image analysis, and machine learning/deep learning.
Demonstrated experience working with biomedical imaging data (pathology preferred).
Proven track record in developing, validating, and deploying advanced computer vision and deep learning algorithms, including contributions to released products.
Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
Deep understanding of image analysis methods such as segmentation, object detection, and classification, ideally within digital pathology (e.g., histopathology, tissue imaging) and/or spatial omics.
Familiarity with large-scale data management and cloud-based computational environments.
Strong communication and interpersonal skills

Preferred Qualifications:

Proficient in commercial image analysis platforms such as HALO, Visiopharm, QuPath, etc.
Experience with digital pathology (whole-slide images).
Strong publication record in computational imaging, AI, or medical image analysis.
Background in spatial omics and the ability to combine molecular profiles with imaging analysis.
Solid understanding of precision medicine concepts, including biomarker discovery, patient stratification, and personalized therapeutic approaches.
Demonstrated adaptability and enthusiasm for learning and applying new technologies and methodologies.

Thrive – What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional growth and well-being:

A collaborative and diverse global team environment
Opportunities to work with cutting-edge technologies in biomedical research
Training and mentoring to support your career path
Flexibility in work arrangements and work-life balance

Apply Now

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ground staff jobs in hyderabad telangana

Principal Image Analysis Scientist, Digital Pathology

NetSuite Administrator

Senior Manager - Intelligent Automation

Senior Manager, Intelligent Automation

Senior Engineer, Structural Analysis - SACS

Senior Site Reliability Engineer

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