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Associate Principal Scientist, Data Operations/Governance, Computational Pathology, Oncology

Location Munich, Bavaria, Germany Job ID R-101977 Date posted 08/06/2021

Do you have a passion for data? Would you like to apply your expertise to accelerate, improve and help automate our data flow and provide our scientists with FAIR and ready to use data at their fingertips? in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!


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. But we’re more than one of the world’s leading pharmaceutical companies. 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. There’s no better place to make a difference to medicine, patients and society.


Welcome to Computational Pathology Munich, one of over 400 sites here at AstraZeneca, providing a collaborative 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, Bright and spacious environment, Sustainable office working environment, Networking events, family and childcare support and of course the Alps around the corner for hiking, biking and skiing.


Be part of fulfilling our ambition to be world leaders in Oncology. We are already the fastest growing team within AstraZeneca and across the industry, and there are countless new indications and targets in our game-changing pipeline. We deliver this value through launch excellence, commercial effectiveness and maximising the lifecycle. By leveraging our commercialised portfolio we are confident we can change the practice of medicine and redefine cancer treatment.

We’re brave disruptors – entrepreneurial, courageous and pioneering in our approach. Here you have the opportunity to step up, take personal accountability and lead changes in our ever-evolving environment.

With pace and drive, comes trust that we will get it done. Embrace the freedom to create and expand your horizons. Always backed and supported by pioneering leaders, this is the place to build a world-class career that’s meaningful and rewarding. Here we’re on a journey to becoming digitally-enabled, to discover new ways of offering better solutions to our patients. Join the team with a vision to use data as a tool, to build a better, deeper, more personal understanding of the people we’re helping. To ultimately deliver better outcomes for them – through dynamic omnichannel content, personal relationships and experience.

What you’ll do

As a data operations & governance Associate Principal Scientist you will be responsible for driving and streamlining  our Translational Medicine data flow; along with providing our scientists with FAIR data assets for their experimental work. As part of a cross-functional team of science, data and technology experts you will help shape our data centricity vision by bringing in your innovative ideas and novel approach to rethink the way we manage, treat, handle and govern data. You will use your understanding on current data gaps to improve and automate our data flow which will include; setting up standards, vocabularies and workflows while working hand in hand with our data curators, data governance experts and software development teams. You will drive communication, training and education to re-shape Translational Medicine data culture.

Main Duties and Responsibilities:

  • Coordinate/ supervise data curation/ operations efforts (setup and planning, stakeholder interaction, coordination between scientists, curators and engineers)

  • Work together with data curators/ engineers to identify opportunities for standardization within the current translational medicine data flow, translate these into technical requirements, templates, standards, vocabularies and drive implementation

  • Develop and implement new data standards, vocabularies and workflows together with our data curators, data scientists, scientists to prospectively streamline data flow and operations

  • Coordinate and streamline data transfer, exchange and integration activities with Translational Medicine collaboration partners, CROs etc.

  • Work with bioinformaticians, data scientist and data management teams to develop best practices in data wrangling/curation and storage of experimental metadata

  • Identify opportunities for training/ education and drive/ support development of training and communication material

Essential for the role

  • Data science, Bioinformatics (Master level, preferably PhD) with a focus on Life Science/ Pharma R&D or biology/ science background (Master level, preferably PhD) with extensive expertise in (big) data management

  • Expertise in data curation/management, linking and integrating data from different entities (clinical, pathology, genomics etc.)

  • Experience in project management, coordination of mid-size cross-functional teams

  • Thorough understanding of formats, standards and metadata requirements of digital pathology data, genomics data, other –omics data; experience in the setup of data standards, vocabularies and taxonomies

  • Understanding of the FAIR data principles and how they apply to the delivery of integrated X-Omics solutions

  • Experienced working within cross-functional teams, including scientists, data experts, software development engineers and IT

  • Strong communication and presentation skills and a proactive mindset and motivation to drive and implement own ideas

Desirable for the role

  • Experience with agile/scrum operations and planning as well as usage of Jira, Confluence

  • Experience with common biomedical vocabularies (Gene Ontology, NCI Thesaurus, ISA-Tab, MeSH, Human Disease Onotolgy, BAO, EFO, Human Phenotype Ontology, others), ontology repositories (NCBO Bioportal, EBI OLS) and common reference databases (e.g. Uniprot, Ensembl, CHEMBL, EntrezGene,

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. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

  • Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

  • Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

Competitive salary package and benefits

Close Date: 25/06/21

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn

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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 authorisation and employment eligibility verification requirements.

10001235 E DADE R&D Oncology (Pascal Soriot (08126850) (Inherited)) (85008610)

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.