Senior Bioinformatician

Are you a quantitatively-minded scientist looking to apply bioinformatics and machine learning to design antisense oligo nucleotides in drug discovery? Would you like an exciting new challenge in a company that follows the science and turn ideas into life changing medicines? Then why not join our Quantitative Biology team in Gothenburg, Sweden!


We are now recruiting a Senior Bioinformatician in Quantitative Biology to join the Discovery Sciences organization in Gothenburg, Sweden.


Discovery Sciences work with all AstraZeneca’s therapy areas to deliver candidate drugs into late-stage clinical development. The Quantitative Biology team is a multi-disciplinary team of data scientists with the purpose of providing quantitative insights to biology. We do so by improving the biological understanding of the target and its engagement, including supporting the identification of molecular mechanisms of action, building a platform for antisense oligonucleotide design providing image and data analysis solutions to high dimensional datasets, and by enhancing AstraZeneca's ability to prioritize target selection and portfolio projects based on probability of technical success.


As a Senior Bioinformatician your main responsibilities will involve:
Using bioinformatics and machine learning you will collaborate with antisense oligonucleotide drug discovery projects to identify and deliver antisense oligonucleotide sequence designs
Developing or internalizing appropriate algorithms, techniques and datasets to advance our ability to rapidly discover antisense oligonucleotide candidate drugs
Building knowledge of and creating data analysis capabilities, typically on complex, high-dimensional -omics data to identify biologically induced effects of antisense oligonucleotides
Contributing to and leading local and global projects for NGS applied in antisense oligonucleotide projects
Ensuring that results are scientifically robust and documented


Essential Requirements


PhD, or equivalent, in bioinformatics, mathematics, computer science, statistics, engineering or the life sciences
Expertise in one or more of the core competency areas: DNA sequence analysis, next generation sequencing analysis, multivariate and/or high dimensional data analysis (-omics), ontologies, data management, machine learning, statistical modelling,
Experience with relevant software tools such as R, Python, Shiny, Spotfire, Java, C/C++, SQL/NoSQL/RDF, JavaScript
Basic understanding of molecular biology, cell biology, and human physiology
Excellent English, spoken and in writing