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Associate Principal Scientist, Omics-Analyst / Bioinformatics

Location Royston, England, United Kingdom Gaithersburg, Maryland, United States Job ID R-121117 Date posted 12/10/2021

Associate Principal Scientist, Omics Analyst/ Bioinformatics

Location: Cambridge UK / Gaithersburg US

Salary: Competitive

AstraZeneca is a science-led, global biopharmaceutical company, with a focused portfolio in core disease areas. Committed to improving the health and lives of people across the globe, we place a heavy emphasis on our research and development platform, which has translated to a fast growing late-stage pipeline. Working in over 100 countries, we have strength in emerging markets, and our medicines are used by millions of patients and clinicians worldwide. Working here means being results-oriented and working together to make the impossible a reality.

Are you excited by working with large datasets of human enome data to drive discovery and elucidate disease mechanisms? Look no further... Our Centre for Genomics Research (CGR) has multiple exciting opportunities for Associate Principal Genome Analysts / Bioinformaticians to contribute to the rapid growth of AstraZeneca’s human omics strategy. This includes the opportunity to perform integrated analyses of omics data from AstraZeneca clinical studies, datasets from academic partnerships, and a growing catalogue of omics datasets from globally diverse populations. Notably, AstraZeneca is part of a consortium with advance access to proteomic and genome sequencing data from the UK Biobank population study, offering the opportunity to integrate rich phenotype data with genomic, metabolomic and proteomic data on up to 500,000 participants. These exciting multi-disciplinary projects will enable us to comprehensively translate causal biology discoveries into mechanistic understandings of disease. This work will be fundamental to fuelling the growth of novel precision medicines.

If you are driven by a shared passion for using omics data to fuel drug discovery research, we welcome your application. Successful candidates will collaborate with a team of experts in this centre of excellence and the global AstraZeneca organisation to develop and refine their unique research portfolio, making them highly competitive to achieve their desired career objectives while impacting various stages of AstraZeneca’s drug development pipeline.

What will I do?

This role is an opportunity to be part of ground-breaking research at the forefront of human genomics. Depending on your experience and interests, this role will focus either on the development of innovative statistical methods to analyse large-scale human omics datasets (bioinformatics / statistical geneticist), or on the application of such methods with a focus on interpretation and communication of results (genome analyst). You will be part of a dynamic team in CGR’s multidisciplinary research environment comprising bioinformaticians, computational biologists, proteomics and metabolomics experts, software engineers, postdoctoral researchers, and disease area specialists. You will also work closely with specialists in translational science, drug discovery, pre-clinical modelling, and clinical development.

  • Lead and carry out quantitative analyses on human cohort studies, to identify disease risk and response associations for diseases of interest
  • Deliver novel insights into the biology of disease, validation of new targets for medicines and the improvement of selection of patients for clinical trials
  • Incorporate additional molecular data into genomic analyses such as gene expression data, metabolomics and/or proteomics
  • Work with sophisticated phenotype data (e.g., electronic health records, clinical trials, academic collaborations) to better identify populations and endophenotypes of greatest interest to AstraZeneca's therapy areas.
  • Develop analytical algorithms and tools to address scientific questions with big data
  • Study population-scale eQTL and pQTL signals linked to human clinical phenotypes
  • Collaborate with discovery and development teams to apply omics analysis to the drug development process
  • Contribute to publication of results
  • Support and supervise more junior analysts, statistical geneticists and postdoctoral researchers
  • Ensure all work is follows Good Laboratory Practice, Safety, Health and Environment standards and all internal AstraZeneca standards and external regulations

We value diverse and lateral thinking and will support individuals from all backgrounds to become successful analysts / bioinformaticians while maintaining a work-life balance. Our preferred criteria are below, but we understand that applicants will be strong in some areas and seek growth in others.

Crucial Criteria

  • Doctoral degree (or equivalent experience) in bioinformatics, biostatistics, complex trait genetics, computational biology, statistical genetics or a related field (must be in quantitative field for statistical geneticist role)
  • Have experience in large-scale data analysis, applied statistics, and/or machine learning
  • Experience analysing one or more of transcriptomic, metabolomics or proteomic data sets
  • Ability to communicate optimally with team members and non-experts, both verbally and through documentation
  • Understanding or interest in the potential of genomics to impact drug discovery
  • Have the ability to prioritize, problem-solve and perform difficult tasks while under pressure
  • Possess excellent communication skills and willingness to work within a team in a quickly evolving environment
  • Have a track record of peer-reviewed publications in high-level scientific journals

Desirable Criteria

  • Previous experience in a similar role
  • Experience conducting case-control statistical analyses
  • Experience analysing whole genome or exome sequencing data
  • Familiarity with high performance and/or cloud computing
  • Coding skills appropriate for large scale analysis of biological data
  • Familiarity working on studies involving one of AstraZeneca’s core therapeutic areas
  • Experience curating, analysing and interpreting structured and unstructured electronic health data

Additional Information

Our Company Values & Behaviours underpin everything we do so please take a moment to familiarize yourself with them. You may also want to check out our R&D Video showing how we turn Science into Medicines.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.

So, what’s next?

Complete your application before the below closing date.

This role is open from 7th October 2021 and welcome with your application no later than 7th November 2021.

Where can I find out more?

Follow AstraZeneca on LinkedIn

https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en



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 authorisation and employment eligibility verification requirements.

50056711 E SCBO R&D BioPharmaceuticals

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Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.