Senior Scientist – Image Analysis & Digital Pathology
About this opportunity
Career Category
Scientific
Job Description
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 seeking a highly motivated Senior Scientist – Image Analysis & Digital Pathology to join our Computational Imaging and Digital Biomarkers team. The successful candidate will contribute to the development and application of computational pathology and AI/ML methods to support translational research, biomarker discovery, and precision medicine initiatives across therapeutic areas.
The candidate will work closely with pathologists, data scientists, translational scientists, and software engineers to build scalable image analysis workflows and generate quantitative insights from complex imaging datasets including whole-slide pathology images and spatial biology platforms.
Live – What you will do
In this vital role, you will:
Develop and apply image analysis, computer vision, and machine learning methods for digital pathology datasets.
Design and implement analysis pipelines for whole-slide imaging (WSI), H&E, IHC, multiplex immunofluorescence, and spatial omics datasets.
Build reproducible and scalable workflows using Python and modern ML/DL frameworks such as PyTorch or TensorFlow.
Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.
Collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.
Support deployment and operationalization of computational imaging pipelines in cloud or high-performance computing environments.
Stay current with advances in computational pathology, AI/ML, and spatial biology technologies.
Win – What we expect of you
Basic Qualifications:
PhD or MS in Computer Science, Biomedical Engineering, Computational Biology, Bioinformatics, Electrical Engineering, Applied Mathematics, or related quantitative discipline.
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:
3+ years of experience in computational imaging, digital pathology, or medical image analysis.
Strong programming skills in Python and experience with scientific computing libraries.
Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
Experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, or spatial transcriptomics data.
Familiarity with whole-slide imaging tools and digital pathology platforms such as QuPath, HALO, Visiopharm, or OpenSlide.
Understanding of machine learning methods for segmentation, classification, detection, and representation learning.
Strong communication and collaboration skills in multidisciplinary scientific environments.
Track record of scientific publications, conference presentations, or applied translational research contributions is preferred.
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
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Job details
How this role compares
Computed from every other active Drug Discovery & Preclinical Research role in our database, not just this employer's listings.
We currently track 188 comparable Senior Drug Discovery & Preclinical Research roles across 30 biopharma companies.
Salary context
62 of 188 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 188 comparable roles
+ 6 more countries
Seniority mix
188 of 188 peers have a known seniority level
Therapeutic area mix
29 of 188 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.