Postdoc - Multiomics Fingerprint of Metabolic Improvements

Postdoc Fellow - Multiomics Fingerprint of Metabolic Improvements



About the Postdoc Opportunity:



Translational Sciences and Experimental Medicine (TS&EM) bridges pre-clinical, early and late drug development by focusing on early target validation in humans, driving precision medicine approaches by using bioinformatics, biomarker science and experimental medicine. In this key Postdoc role, you will be part of the bioinformatics team that is advancing precision medicine concepts, and leveraging advanced in silico approaches, including, artificial intelligence (AI), machine learning (ML) & data sciences (DS) to drive innovations in our Cardiovascular Renal and Metabolic Diseases portfolio. This group works within cross-disciplinary drug project teams throughout the discovery and translational pipeline driving new target discovery, pre-clinical and clinical research. Int this role, you will work closely with experts in systems biology, omics, AI/ML/DS and clinicians. The successful candidate will be embedded in a team that works actively on innovative integrative biology approaches within cardiovascular, renal and metabolic disease areas.



If you're interested in an industry postdoc, don't miss this chance to contribute to this meaningful research.



Essential Education and Experience:

* Relevant PhD in bioinformatics, systems/computational biology, machine learning, computer science, or a related field
* Proficiency in analysing and interpreting data from multiple omics platforms, in association with clinical, biomarker and phenotypic datasets.
* Deep expertise in bioinformatics, multi-omics integration, systems biology or computational biology, and knowledge of at least the following areas: network/pathway analysis, transcriptomics, proteomics, metabolomics, exploratory biomarker
* Programming proficiency and experience with: R/Python, Perl, Unix/Linux environment, database management systems (DBMS) and data visualization
* Demonstrated effectiveness working in a multidisciplinary team to achieve team objectives.



Desirable:

* Experience of working on multiomics & bioinformatics projects aligned to drug discovery.
* Broad experience with mathematical and statistical techniques for analysis of big data. Classical supervised and unsupervised ML methods such as random forests, SVMs, penalized regression, KNN, clustering, dimensionality reduction, ensemble methods, Bayesian methods.
* Understanding of the biological systems and molecular signalling involved in metabolic diseases.
* Experience in solving data analysis problems with ML and/or AI to reveal actionable insights, with expertise in at least one of (i) Predictive ML/DL, with a focus on techniques revealing actionable biological insight from feature use and predictive rules, (ii) Mathematical, Boolean and/or computational modeling of human disease mechanisms, (iii) Graph and Network Biology techniques, (iv) Transfer and reinforcement learning.
* Experience of modelling drug pharmacokinetics



Skills and Capabilities:

* Highly self-motivated, ability to generate data in an efficient and timely manner.
* Strong communication (Oral and written) skills are a must.
* Strong time management skills, with forward planning and delivery focus.
* Proven ability to succeed as a team player; employ creative thinking to solve problems and bring forward new ideas.



This is a 3-year programme. 2 years will be a Fixed Term Contract, with a 1-year extension which will be merit based. The role will be based in Gothenburg, Sweden, with a competitive salary on offer



Advert opening date - March 19, 2020

Advert closing date - May 18, 2020



About AstraZeneca

AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world's most serious diseases. But we're far more than a leading pharmaceutical company. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energised and rewarded for their ideas and creativity.