Senior Data Scientist - Graph Data Science
AstraZeneca AB / Datajobb / Göteborg
2022-03-14
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➡️ Klicka här för den senare publicerade platsannonsen "Senior Data Scientist - Graph Data Science" (publicerad 2022-06-03) ⬅️
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hela Sverige Visa alla jobb hos AstraZeneca AB i Göteborg,
Mölndal,
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Solna,
Stockholm eller i
hela Sverige Do you find yourself seeing connected data all around us? Do you want to join us on our journey to find patterns embedded in data and help untangle them to make a difference to patient's lives? Then we might have the position for you!
At AstraZeneca we harness digital, data science & AI to fast-forward our research. Making sure the work born in a lab can make a real difference in the real world. Working here means thinking big, taking responsibility, and working together to deliver impact from our contributions that make the impossible a reality.
As we expand our operations within the data science domain, we have an exciting opportunity to join our team as a Senior Data Scientist at our vibrant AstraZeneca R&D site in Gothenburg, Sweden. This position is located within the Data Sciences & Quantitative Biology department - a global, diverse and delivery focused department where we collaborate to support drug projects striving to impact patients' lives. In partnership with our experimentalist colleagues and other data scientists, we provide computational analysis and solutions to enable and improve output from our technical platforms driving our drug discovery efforts.
What you'll do
In this role, you'll be using graph data science skills to explore and exploit biomedical knowledge graphs, a vast resource containing collective biological insights from numerous databases and experimental datasets. You will act as part of a larger team, passionate about developing and exploiting these graphs for various tasks within the scope of a general drug discovery pipeline.
Biomedical knowledge graphs contain extensive amounts of insights - aggregated and structured into a graph form. Your role will focus on taking the next step, that is how we go from specific nodes or relationships in the graph, to answering novel biological questions. Unraveling patterns by investigating direct and indirect connectivity between different entities, community/similarity detection are just a couple of examples to get started with. You will have the creative freedom to think, reason and explore different approaches!
You will work closely with other graph data scientists and subject-matter experts, who will provide you with both cues and inquiries, but also have continuous contact with colleagues working with graph composition and design, as well as data visualization.
Who you are
Our team is a highly collaborative group of scientists, working in a constantly evolving technical and scientific landscape. We, therefore, expect you to have a passion for driving scientific questions and to be comfortable working at a fast-paced, collaborative environment. You can work independently and have a positive, result oriented and pragmatic attitude. You have excellent communication skills as well as a proactive and delivery-focused approach.
Essential for the role
* A PhD - or equivalent numbers of years of experience post-degree - in bioinformatics, or similar quantitative field
* Experience with graph theory and graph data science concepts/algorithms, e.g. centrality measures, shortest-path, path expansion queries
* Hands-on experience with graph database technologies and query languages, in particular Neo4j/Cypher
* Advanced programming skills in Python, or similar high-level language
Desirable for the role
* Experience with experimental biomedical or clinical data is a big plus
* Familiarity with command-line tools, high performance computing and/or cloud compute environments
* Knowledge in writing scalable and reproducible code, especially in concert with version management via Git
* Proven track record of publishing and/or presenting relevant analysis results and tools in peer-reviewed journals, conferences, and other scientific proceedings
Why AstraZeneca?
Our Gothenburg site is one of AstraZeneca's three strategic R&D centres. Here, you'll feel a global atmosphere in a multinational environment. Collaboration comes in all forms - across teams, functions, countries and even companies. With more than 2,400 employees from over than 50 countries, our vibrant Gothenburg site is a truly inspiring place to work. Here, the history and future of scientific breakthrough come together. We believe that the diversity of our people is crucial to bringing new discoveries to life.
So, what's next?
If your passion is science and you want to be part of a team that makes a bigger impact on patients' lives, then there's no better place to be.
We look forward to find out more about you. Send in your application as soon as possible, but no later than 11th of April 2022. We will review applications continuously.
For more information about the role, the team or working for AstraZeneca, please contact the hiring manager Ufuk Kirik,
https://www.linkedin.com/in/ukirik/.Where can I find out more?
Our Gothenburg site:
https://www.astrazeneca.com/our-science/gothenburg.htmlLife in Gothenburg:
https://www.astrazeneca.se/om-oss/verksamheten-i-sverige/goteborg/relocate-to-gothenburg.html#DataAI
Varaktighet, arbetstid
Heltid Permanent
Publiceringsdatum2022-03-14ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2022-04-11
Klicka på denna länk för att göra din ansökanFöretagAstrazeneca AB
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-133044".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Jobbnummer 6434123
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