Description
Computational Imaging Lead
About Astellas
At Astellas we are a progressive health partner, delivering value and outcomes where needed.
We pursue innovative science, focussing 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 diseases and conditions.
We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding 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. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. 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 working practices, regardless of our 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.
The Opportunity
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.
Hybrid Working
At Astellas we recognise the importance of balancing your 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.
Key Responsibilities
- Lead computational imaging strategy and develop analysis plans to address 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 centers
- 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 conducts analysis using translational and biomarker data management platforms
- Develop new analysis tools and databases to meet the current and future portfolio needs
- Identifie and evaluates external resources (CRO/academic collaborator) to complement internal capabilities
Essential Knowledge & Experience
- 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.
- Demonstrated 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).
Education
- Ph.D. in Biomedical Engineering, Bioinformatics, Computational Biology, or related field.
Preferred Skills & Knowledge
- Experience in analyzing 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 analyses.
- Experience in analyzing oncology histopathology images, including H&E, IHC, and multiplex immunofluorescence whole-slide images
Additional Information
- This is a permanent role.
- This role is located in UK.
- This role follows a hybrid working model, blending home-based work with a minimum of 1 day per quarter in the office (to be confirmed based on primary location and business need). Flexibility may be required in line with business needs.
- This position may require travel domestically and/or internationally.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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