Senior Data Engineer (Knowledge Graph and Networks)

Senior Data Engineer

Location - Cambridge UK or Gothenburg - Sweden

Competitive Salary + Benefits

Are you a curious data/knowledge graph engineer seeking a role where your expertise can make an extraordinary impact? This is an opportunity to join a dynamic and enthusiastic environment, whilst delivering critical support to drug discovery projects.

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.

You’ll join the Data Sciences & Quantitative Biology department – a global, diverse and delivery focused department where we collaborate to support drug projects aiming to impact patients’ lives. In partnership with our experimentalist colleagues and other data scientists, we provide computational analysis and solutions to enable and enhance output from our technical platforms driving our drug discovery efforts.

What you’ll do

You will work as part of a team focused on developing disease-specific knowledge graphs using available and derived information, to enable high quality insights and predictions for drug discovery (eg: prediction of candidate gene targets for a disease). You will work closely with other colleagues with complementary skills and experience, both within and beyond our department, to maximise the quality and impact of your work – this is a team effort. Your role will focus on delivering robust pipelines for building networks/graphs from varied information sources, and their management and maintenance.

We truly believe that everyone contributes with a unique set of competence. Your curiosity and passion for personal development combined with support from colleagues, mentors and leaders, will ensure you maximise your potential and contribution, building from your current skills, abilities and experience.

Recent examples of our scientific output

For recent published examples relating to our department’s work and these roles, see:

• https://arxiv.org/abs/2102.10062

• https://arxiv.org/abs/2112.06567

• https://arxiv.org/abs/2105.10578

Essentials

Our team is a highly collaborative group of scientists, working in a constantly evolving technical and scientific landscape. Therefore, you’ll have to be comfortable working at a fast pace, with a team-focused approach. You have excellent communication skills and a proactive and delivery-focused approach.

You also have:

• Proven experience post-degree in computer sciences, bioinformatics, software engineering, computational sciences or a related quantitative field

• Technical leadership (eg: setting project direction) in 2 or more of the following areas: knowledge representation, knowledge graphs, natural language processing, dynamic data retrieval, data integration, data engineering and ontology utilisation/development

• Experience in developing and maintaining ETL/ELT pipelines, with a focus on quality and reproducibility

• Experience processing structured, unstructured & semi structured data to encode into graphs

• Experience in establishing, maintaining and querying of database systems (e.g. SQL, NoSQL, and particularly graph) in bioinformatics/data science applications

• Experience with high performance computing and cloud environments, and application deployment technologies (e.g. containerised workflows, Kubernetes)

Desirable for the role

• Experience with different graph databases, models and formats (e.g. RDF/RDF*, Labelled property graphs, Neo4j)

• Experience of delivering value in a dynamic, iteratively working team and via collaboration with other teams, using DevOps principles

• Experience of working with data sources relevant to drug development or biomedicine

Why AstraZeneca

There are many opportunities to develop yourself and your career. From our diverse portfolio and partnerships to our ground-breaking innovations – it’s a place for lifelong learning. It is also a place that invites and celebrates diversity as well as speaking up for what you believe in. We want you to be true to yourself at work as you are outside of it.

So, what’s next!

If your passion is science and you want to join a team that makes a bigger impact on patients’ lives, then there’s no better place to be!

We look forward to learning more about you – make sure you apply before January 28th 2023with your CV and a cover letter explaining your interest in the role. If you have any questions regarding this role, the team or working for AstraZeneca, please get in touch with Manasa via LinkedIn: https://www.linkedin.com/in/manasa-ramakrishna-544b44196/

#QuBi #DSAI #DataAI

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.