Senior Scientist (mfd), Computational Pathology Biomarker Lead (BioPharmaceuticals)

ABOUT ASTRAZENECA

AstraZeneca is a global science-led patient-focused biopharmaceutical company that focuses on the discovery development and commercialisation of prescription medicines for some of the worlds most serious diseases. But were more than one of the worlds leading pharmaceutical companies.

SITE DESCRIPTION - Munich Germany

At Computational Pathology Munich (CPM) we make a significant contribution to high-performance data-driven research and development. Our team operates in a demanding fast-paced environment where excellent collaboration clear communication and precise organization are critical.

BUSINESS AREA
AstraZenecas Enterprise AI organization is building the future of drug development by connecting data technology and expertise to accelerate breakthroughs across our portfolio.

Within Computational Pathology and Biomarkers we develop AI-powered solutions to advance patient selection biomarker development and clinical decision-making at scale. We work collaboratively across the organization to translate innovation into tangible impact across BioPharma including CVRM Respiratory & Immunology and Rare Diseases.

Do you thrive at the intersection of AI biology and clinical translation

We are looking for a

Senior Scientist (m/f/d) Computational Pathology Biomarker Lead (BioPharmaceuticals)

to drive the development of AI-enabled computational pathology and multimodal biomarkers that directly impact patient selection and drug development across our BioPharma portfolio. This role is based at our Munich Germany office.

In this role you will collaborate with cross-functional teams to generate data-driven insights that inform clinical decisions across therapeutic areas such as cardiovascular renal metabolic and respiratory diseases.

You will contribute to innovative programs spanning small molecules and biologics from early discovery through to late-stage development and lifecycle management.

Key Responsibilities

Drive the development and application of AI-enabled computational pathology and multimodal biomarkers to support patient selection and decision-making across BioPharmaceuticals. Work at the interface of biology data science and AI to generate actionable insights throughout drug development from target validation to clinical implementation.

• Lead and collaborate with cross-functional teams to develop AI-driven biomarker signatures for target engagement patient stratification and early biological activity

• Design and apply computational pathology and AI approaches across diverse tissue types disease areas and clinical endpoints

• Analyze complex multimodal datasets (e.g. whole-slide imaging multiplex assays imaging and blood biomarkers) to generate meaningful insights

• Develop novel quantitative metrics and composite scores to characterize disease biology (e.g. fibrosis inflammation tissue damage)

• Drive innovation in AI-powered biomarker development identifying and applying emerging technologies to BioPharma challenges

• Partner with experimental scientists to shape data generation strategies and ensure high-quality AI-ready data

• Contribute to project teams and decision-making providing expertise for patient selection and go/no-go decisions

• Communicate findings through presentations reports publications and regulatory documentation

• Support analytical and clinical validation to enable biomarker implementation in clinical studies

• Ensure compliance with GLP data integrity and regulatory standards

Experience & Qualifications

Essential

• PhD in Cellular/Molecular Biology Immunology Pharmacology or related field with experience working at the interface of biology data science and AI/computational sciences

• Proven expertise in computational pathology image analysis and AI-driven computational approaches

• Strong experience analyzing complex high-dimensional and multi-modal datasets ideally in collaboration with AI/computational biology teams

• Deep understanding of tissue biology histopathology and disease mechanisms relevant to BioPharmaceuticals

• Hands-on experience with advanced tissue imaging techniques (e.g. multiplex IHC immunofluorescence)

• Strong analytical and problem-solving skills with ability to develop AI-driven solutions linking biological insight and computational methods

• Excellent communication skills with ability to convey complex technical concepts to diverse audiences

• Proven track record of translating data-driven insights into actionable outcomes for drug development

Desirable

• Experience in the pharmaceutical or biotechnology industry ideally in translational medicine or biomarker development

• Hands-on experience applying machine learning/AI to image analysis and biomarker discovery

• Understanding of clinical trial design biomarker validation and regulatory requirements for AI-enabled biomarkers

• Publication track record in computational pathology AI or related fields

• Formal training in computational biology bioinformatics data science or machine learning

• Understanding of multimodal biomarker integration approaches

What you can expect:

• Individual development opportunities with a focus on lifelong learning

• Trust appreciation and room to shape things in a focused and passionate team

• Modern office space in Munich enabling collaborative flexible and agile work

• A diverse inclusive and bias-free work environment actively welcoming applications from all qualified candidates regardless of background or characteristics

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industry-leading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.