Pathologist - Oncology R&d (M,w,d) - Munich, Deutschland - AstraZeneca

AstraZeneca

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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 world's most serious diseases.

Site description

Our Computational Pathology Site in Munich, one of over 400 sites here at AstraZeneca, providing an environment where everyone feels comfortable and able to be themselves is at the core of AstraZeneca's priorities, it's important to us that you bring your full self to work every day.

To help you maintain your best self, here's a sneak peek into some of the things this site provides for you:

After-work events, Lunch & Learns, and spacious environment, balanced office working environment, networking events, and childcare support and of course the Alps around the corner for hiking, biking and skiing.

Business area
Computational Pathology sits within the Oncology Translational Medicine department within our Oncology R&D organisation. The Computational Pathology team was established with the acquisition of Definiens.

At our site in Munich, we are changing the way imaging technologies are combined with other omics technologies and clinical patient data to offer outstanding insight and impact.

We empower translational science to transform cancer treatment with impactful information derived from biomedical image by innovating at the interface between Artificial Intelligence, pathology and data sciences.

What you'll do
We currently have an open position for a Pathologist to join our Munich team and focus on digital pathology. Computational Pathology experience is not crucial, knowledge and a keen curiosity about this area would be most beneficial/ advantageous.

Working on the development and quality assessment of computational pathology approaches in close collaboration with a wide multidisciplinary team
Crafting highquality annotations for the development of machinelearning algorithms
Participating in the writing and implementation of annotation guidelines and QC strategies
Establishing morphomolecular correlations to inform biomarker selection and the interpretation of results for biomarker studies
Reviewing and characterizing whole image slides for assay optimization and validation for computational pathology, including Quality Control/Quality Assurance aspects
Serving as the point of contact and domain expert for pathology related topics in crossfunctional teams
Providing pathologist consultation for translational projects
Keeping tabs on image analysis and machine learning research in the field of pathology
Assisting, as required, with the general operational management of the pathology group

Essential for the role

Medical (M.D.) or veterinary degree (D.V.M.) and board certified in anatomical/surgical pathology or similar qualifications
Solid knowledge of tissue diagnostics (histology, cytology, immunohistochemistry, in situ hybridization, molecular pathology, genetics) and general histopathology diagnostic experience
Consistent track record in cancer diagnostics (oncology)
Excellent written and verbal communication skills with ability to represent pathology data in internal and external meetings, conferences and scientific publications
Strong team working skills
Ability to optimally interact with internal and external business partners

Desirable for the role

Experience in tissue biomarker discovery and analysis in a clinical, academic or industry environment is highly desired
Digital and computational pathology experience
Experienced and comfortable working in a matrix environment
MSc or PhD in a medical or related field
Publication track record highly desired

Why AstraZeneca?
At AstraZeneca we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.

So, what's next?