Associate Director - Computer Vision & AI (m/w/d)

AstraZeneca; Deutschland; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading biopharmaceutical company is seeking a Ph.D. qualified professional in Computational Pathology to develop image analysis solutions for drug development. The role involves leading AI research, collaborating with various stakeholders, and ensuring compliance with quality standards. The successful candidate will have a strong background in deep learning and image analysis, contributing to significant advancements in drug development.

Leistungen

Opportunities for personal development

Diverse and inclusive work environment

Wellbeing and mobility benefits

Qualifikationen

• Ph.D. or equivalent industry experience (≥3-5 years).
• Experience in medical or biomedical image analysis.
• Proven publication record in AI solutions.

Aufgaben

• Develop image analysis solutions for drug development.
• Lead research in AI methods for image analysis.
• Collaborate with multidisciplinary teams.

Kenntnisse

Deep learning

Computer vision

Image analysis

Python

Communication skills

Ausbildung

Ph.D. in computer science, mathematics, physics, bioinformatics

Tools

TensorFlow

PyTorch

NumPy

Pandas

OpenCV

Jobbeschreibung

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company dedicated to discovering, developing, and commercializing prescription medicines for some of the world's most serious diseases. We are more than a leading pharmaceutical company.

SITE DESCRIPTION - Munich, Germany

Welcome to Computational Pathology Munich, one of over 400 AstraZeneca sites. We foster a collaborative environment where everyone feels comfortable and authentic. Our site offers various amenities and activities, including after-work events, lunch & learns, a spacious and sustainable office environment, family and childcare support, and proximity to the Alps for outdoor activities.

Job Description

1. Develop image analysis solutions to generate decisive data from histopathology whole slide images, supporting drug development projects.
2. Lead research, development, and application of cutting-edge artificial intelligence methods.
3. Take a leadership role in image analysis within large-scale drug development programs.
4. Share knowledge, best practices, algorithms, and software tools internally and externally through seminars, publications, and conferences.
5. Collaborate with project stakeholders and interfacing functions such as pathology, data management, software development, and bioinformatics.
6. Ensure compliance with AstraZeneca standards to support product quality and regulatory requirements.

Qualifications

1. Ph.D. in computer science, mathematics, physics, bioinformatics, or a related field, with focus on deep learning and computer vision, or equivalent industry experience (≥3-5 years).
2. Experience in medical or biomedical image analysis, either postdoctoral or industry.
3. Expertise in deep learning models for object detection, segmentation, and weakly-supervised learning.
4. Proficiency in Python and scientific libraries (numpy, pandas, scikit-learn, scipy, opencv) and frameworks (tensorflow, pytorch).
5. Knowledge of best practices in software development and model validation.
6. Proven publication record and experience delivering AI solutions in scientific projects.
7. Ability to manage sub-projects within multidisciplinary teams.
8. Strong conceptual, communication, and implementation skills for scientific ideas related to drug development and biomarkers.
9. Experience with advanced image representation learning and multimodal fusion techniques is a plus.
10. Familiarity with semi-supervised, self-supervised, few-shot, generative, or domain adaptation learning methods.

Benefits

• Opportunities for personal development and lifelong learning.
• Diverse, inclusive, and unbiased work environment.
• Trust, appreciation, and space for co-creation.
• Wellbeing and mobility benefits.

Additional Information

Date Posted: 15-Mai-2025

AstraZeneca is committed to diversity and inclusion, welcoming candidates from all backgrounds and complying with all applicable laws regarding non-discrimination and employment eligibility.