Associate Principal Scientist, Bioinformatician

Are you a forward-thinking and curious Bioinformatician with skills in large scale omic analysis or experience in clinical omic analysis? Do you also want to improve the way we discover and develop medicines? Welcome to join AstraZeneca!


We are looking for experienced Bioinformaticians to join our Bioinformatics Immunology team. In this role you will be part of our Translational Science and Experimental Medicine (TSEM) department with an open and collaborative atmosphere - and a culture that is both science-based and patient-focused. This role is located at one of our sites in either Gothenburg (Sweden) or Gaithersburg/Waltham (US).


Be encouraged and supported to think creatively in our dynamic environment. Here we are free from fear of failure, free to ask the right questions and make bold decisions. We harness digital, data science & AI to fast-forward our research. Making sure work born in a lab can make a real difference. Everyday, impacting patients' lives across the world.


What you will do
In this role, you will work in a highly cross-functional and thriving environment together with specialist in sequencing, immunological disease, as well as data science & bioinformatics experts. You will be using e.g. machine learning techniques and network biology to integrate and analyse omic and clinical data to deliver precision medicine within immunology drug development, as well as identify novel patient groups through data mining of large cohort omic data sets. The omic datatypes are mainly focused on genomics, transcriptomics and proteomics data. Utilisation of e.g. knowledge graphs to identify life-cycle management indications is also included in the role. Depending on your previous experience, your initial career level will be an Associate Principal Scientist or Senior Scientist.


Essential for the role
You will apply your great skills in omic analysis, with an emphasis on analysing genomic datasets and dynamic omic datasets such as e.g. transcriptomics and proteomics generated in a clinical setting to derive biological insight and you have a MSc with extensive industry experience, or preferably, PhD or equivalent in bioinformatics, life sciences, statistics, mathematics or another similar subject area. A good knowledge level in life sciences will be a minimum requirement.


We also believe you have:
* Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting
* Broad experience applying ML methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context
* Programming proficiency and experience with relevant software tools such as R or Python, version control (Git/Bitbucket)
* Good understanding of network biology and data integration


Our team is a collaborative group, so the ability to be comfortable working in a goal-oriented way, with a team focused approach is central to be successful in the role. Furthermore, you have great communication skills, a high degree of independence and a proactive and delivery focused approach.


Desirable for the role
* Experience in pharmaceutical R&D and knowledge of relevant disease areas, and experience in precision medicine
* Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g. AWS or Azure)
* Post-doc experience or otherwise relevant data science research experience



Why AstraZeneca?
AstraZeneca is a global, BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious disease. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, it is safe to share and learn from each other - ours is an inclusive environment. Where difference is recognised and uniqueness is valued.



What's next?
If you are ready to make a difference - apply today, and we'll make it happen together! We welcome your application (including CV and cover letter), no later than April 17, 2023. If you're curious to know more about the position, please get in touch with hiring manager Daniel Muthas at Daniel.muthas(@)astrazeneca.com

Where can I find out more?
Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/
Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en
Read more about BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html