Associate Principal Scientist / Genome Analyst

  • AstraZeneca
  • Melbourn, Royston SG8, UK
  • 08/10/2021
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Senior Statistical Geneticist / Genome Analyst

Cambridge, UK

Competitive Salary & Benefits

Make a more meaningful impact to patients’ lives around the globe

Here you’ll have the opportunity to make a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most complex diseases. Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem.

With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There’s no better time to join our global, growing enterprise as we lead the way for healthcare and society.

Join the team that follows the science unlike anywhere else. This is the place for curious minds. Dig deep into the biology of complex disease and uncover breakthroughs.

What you’ll 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 and robust statistical methods to analyse large-scale human genomics datasets (statistical geneticist), or more on the application of such methods and interpretation and communication of results (genome analyst). You will be part of a dynamic team in CGR’s multidisciplinary genomics research environment comprising bioinformaticians, computational biologists, genome scientists, software engineers, postdoctoral researchers, 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 genomic analyses on large-scale 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
  • Support and refine the analysis framework for variant interpretation
  • Collaborate with discovery and development teams to apply genomic 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

Essential 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
  • 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 in case-control sequencing based statistical analyses
  • Experience in analysing whole genome sequencing data
  • Experience quantifying and interpreting the clinical relevance of rare variants
  • Familiarity with high performance and/or cloud computing
  • Coding skills appropriate for large scale genomics analysis
  • Familiarity working on genomics studies involving one of AstraZeneca’s core therapeutic areas
  • Experience curating, analysing and interpreting structured and unstructured electronic health data

Why AstraZeneca?

Make a more meaningful impact to patients’ lives around the globe

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.

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?

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