Computational Imaging Lead

Computational Imaging Lead

Astellas Pharma

At Astellas we are a progressive health partner, delivering value and outcomes where needed. We pursue innovative science, focusing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under‑served disease areas and in life‑threatening or life‑limiting conditions.

We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs guide our development activities at every stage. Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. We believe all staff have a role to play in creating a patient‑centric culture and integrating an awareness of the patient into our everyday practices, regardless of role, team or division.

We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real‑world evidence to inform the best decisions for patients and their care‑givers, to ensure the medicines we develop continue to provide meaningful outcomes. Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.

As a Computational Imaging Lead, you will be responsible for providing computational imaging expertise to translational research, patient selection strategy, and clinical biomarker and surrogate endpoint analysis for multiple drug discovery and development programs.

At Astellas we recognize the importance of balancing work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver.

• Lead computational imaging strategy and develop analysis plans to address the asset team’s clinical development questions.
• Partner with Translational Medicine Lead and Clinical team to embed imaging biomarkers and endpoints into study designs, acquisition protocols, site qualification standards, and QC of data from imaging centres.
• Utilize state‑of‑the‑art computational imaging analysis methods, internal and external data to address translational questions related to patient selection, biomarker identification, proof of mechanisms and surrogate imaging endpoint development.
• Support data ingestion and conduct analysis using translational and biomarker data management platforms.
• Develop new analysis tools and databases to meet the current and future portfolio needs.
• Identify and evaluate external resources (CRO/academic collaborator) to complement internal capabilities.

• Experience in applying computational imaging approaches to drug discovery/development, preferably in a biopharma setting.
• Demonstrated experience in computational analysis of medical images across modalities, with a focus on ophthalmic imaging and/or radiology.
• Experience in image quality control and computer vision‑based analysis of medical images, including segmentation, registration, detection, and quantitative measurements (e.g., area, volume, thickness).
• Experience in developing imaging biomarkers, establishing clinically meaningful cutoffs and developing predictive models from medical imaging features.
• Excellent programming skills (including Python, MATLAB or R) and deep knowledge for statistical analysis and deep learning (e.g., convolutional neural networks, contrastive learning).

• Ph.D. in Biomedical Engineering, Bioinformatics, Computational Biology, or related field.

• Experience in analysing ophthalmology images, including SD‑OCT, FAF, fundus photography and angiography images, visual field and microperimetry data.
• Strong understanding of ophthalmic diseases.
• Experience in developing deep learning models for image analysis.
• Experience in analysing oncology histopathology images, including H&E, IHC, and multiplex…