Bioinformatics Data Scientist - CVRM

Do you have expertise within Data Science, Bioinformatics and Machine Learning? Are you passionate about data and its utilization to gain novel insights into the molecular basis of disease? Then join us and apply your expertise in a cross-functional role at a company that follows science and turn creative ideas into life changing medicines!

At AstraZeneca, we are harnessing Data Science & AI to help us achieve the next wave of breakthroughs - here we do things that have never been done before.

We are now looking for two talented and highly motivated individuals to join us as Bioinformatics Data Scientists. You will work either in the Data Science team or in the Cell and Molecular Pharmacology team with focus on Early CVRM (Cardiovascular, Renal and Metabolism), which is one of three main therapeutic research areas within AstraZeneca that deliver candidate drugs into late-stage clinical development. These positions can be based either at AstraZeneca's vibrant R&D sites in Gothenburg (Sweden) or Cambridge (UK).

What you'll do

In this role you will work on projects involving the processing, analysis and interpretation of large complex datasets of mixed datatypes that go into building a knowledge graph to gain novel understanding of the molecular mechanisms underlying CVRM diseases. Insights gained enable the validation of existing drug targets and the identification of novel targets and biomarkers for disease modulation and patient stratification.

This role also involves employing bioinformatics, data science and ML/AI techniques to investigate, integrate and interpret data from leading Omics and bio-imaging platforms. Collaboration with internal and external partners to apply relevant big data sources including static and dynamic omics, clinical observations, patient metadata, real world evidence and literature mining will be also a key part. You will also perform robust statistical analysis and exploration of clinical datasets to support the early clinical development of medicines.

The seniority of the role can depend and be adjusted depending on your previous experience and skills.

Essential for the role

We believe that you are a highly dynamic, communicative and motivated individual, with a strong desire to collaborate in a dynamic cross-disciplinary environment. We expect you also to have a strong quantitative background with a master plus 2 years' experience, or a PhD (preferred) in bioinformatics, systems biology, statistics, data science, or other quantitative sciences.

* Analysis of large datasets using techniques to ensure reproducibility
* Proven experience applying computational, statistical and machine learning techniques for the manipulation, visualization and analysis of large complex datasets in a biological or drug discovery context
* Experience analysing and interpreting data such as those arising from omics, biomarker, imaging and clinical data
* Programming skills in R, Python or equivalent language and experience with Unix/Linux and shell scripting
* Ability to search, read, understand, interpret, and contribute to scientific research articles with a biology, bioinformatics, data science or machine learning focus
* Excellent consulting, communication, and presentation skills, especially in communicating statistical and bioinformatics concepts, in a cross-disciplinary environment, to non-experts in these domains
* Ability to work efficiently both individually and as part of a team in a matrix environment in order to meet objectives in a timely manner
* Excellent English, both spoken and written

Desirable for the role

Proven experience in several of the following topics:

* Experience constructing or using knowledge graphs
* Experience working with datasets of human biological data and/or datasets of in vivo animal models
* Disease area knowledge of cardiovascular, renal and/or metabolic diseases
* Experience leading statistical analysis projects aligned to drug discovery
* Statistical analysis and integration of genomics, transcriptomics, metabolomics & proteomics datasets along with medical imaging, clinical and phenotypic data
* Bioinformatics techniques for sequence similarity searching, gene expression profile clustering, GO-term mapping, and SNP analysis
* Application of machine learning and artificial intelligence techniques to omics data

So, what's next?

Are you already imagining yourself joining our team? Good, because we can't wait to hear from you! Welcome with your application (CV and cover letter) no later than March 8th, 2022.

For more information about the position please contact hiring managers Ian Henry https://www.linkedin.com/in/ian-henry-a0348515/ (Data Science Team) and Erik Müllers https://www.linkedin.com/in/erikmullers/ (Cell and Molecular Pharmacology Team).

We will review the applications continuously so please apply as soon as possible.

Where can I find out more?

Life at AstraZeneca: https://careers.astrazeneca.com/life-at-astrazeneca
Gothenburg site: https://www.astrazeneca.com/our-science/gothenburg.html
Cambridge site: https://www.astrazeneca.com/our-science/cambridge.html

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