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Research Assistant/Associate in Statistical and Computational Genetics

Newcastle University

Newcastle upon Tyne

Hybrid

GBP 32,000 - 35,000

Full time

3 days ago
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Job summary

Newcastle University is seeking a Research Assistant/Associate in Statistical and Computational Genetics to develop and apply statistical analysis methods for multi-omics data related to liver disease. This role offers an exciting opportunity to contribute to clinically relevant research with strong translational potential, alongside excellent employee benefits.

Benefits

Generous holiday package
Great pension schemes
Health and wellbeing initiatives

Qualifications

  • Experience in statistical analysis and computational methods.
  • Strong programming skills in R, Python, or similar languages.
  • Ability to work in a team and communicate complex information.

Responsibilities

  • Develop advanced statistical methods for multi-omics data.
  • Conduct research and publish findings.
  • Collaborate with clinical colleagues on data analysis.

Skills

Problem-solving
Analytical skills
Communication
Programming in R or Python

Education

PhD in statistics, statistical genetics, or related area
Good honours degree in a quantitative discipline

Job description

Research Assistant/Associate in Statistical and Computational Genetics

Join to apply for the Research Assistant/Associate in Statistical and Computational Genetics role at Newcastle University

Research Assistant/Associate in Statistical and Computational Genetics

3 days ago Be among the first 25 applicants

Join to apply for the Research Assistant/Associate in Statistical and Computational Genetics role at Newcastle University

Salary

Research Assistant: £32,546 to £34,132 per annum

Salary

Research Assistant: £32,546 to £34,132 per annum

Research Associate: £35,116 to £45,413 per annum

Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 28 June 2025

The Role

This is an exciting opportunity for a methodologically-focussed researcher with strong computational/statistical skills to contribute to cutting-edge methods development in a clinically relevant research area with strong translational potential.

Your role will be to develop and apply advanced statistical analysis methods to multi-omics data (SNP genotypes, gene-expression, CpG methylation and serum proteomics) derived from patients with liver disease and healthy controls, to identify causal pathways in disease development/progression.

The project forms part of a Wellcome Investigator Award in Science awarded to Professor Heather Cordell. The overall goal of this research is to develop and apply advanced statistical methods to help elucidate the biological mechanisms and causal pathways underpinning the correlations seen between genotype and phenotype in complex genetic disorders, with specific emphasis on liver and kidney disease. This will allow us to better understand the biological processes leading to disease development, thus enabling the development of potential therapies and cures.

Identifying genes and their protein products which alter disease risk will point to potential new drug targets and allow opportunities for re-purposing of existing drugs. We will use measurements of genetic factors and potential intermediate processes such as gene expression, DNA methylation and protein levels, available through long-standing collaborations with clinical colleagues. A key goal of our research is to develop methods that integrate these different data types with one another, and with similar data from external sources.

This post is fixed term until 31st March 2027. You’ll be based in Newcastle Upon Tyne at the Centre for Life campus that has fantastic transport links, and we offer a hybrid and flexible working model.

For informal enquiries contact: Professor Heather Cordell heather.cordell@newcastle.ac.uk

Find out more about the Faculty of Medical Sciences, please click here .

Find out more about our Research Institutes, please click here .

To apply, please complete an online application and upload a plain text copy of your CV and covering letter only. In your covering letter, you should evidence how you meet or exceed the essential and desirable requirements for the role. Please note, any other ‘Additional Document’ you upload will not be received by the reviewing panel.

As part of our commitment to career development for research colleagues, the University has developed 3 levels of research role profiles . These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.

Key Accountabilities

  • Apply existing statistical methodology and, where required, develop new methodology to carry out the specified project using appropriate techniques as outlined in the person requirements
  • Working under the general guidance of the Principal Investigator, contribute your own ideas, including enhancements to the technical or methodological aspects of their studies, thus providing substantial 'added value'
  • Contribute to the writing up of their research for publication and dissemination, either through seminar and conference presentations or through publications
  • Develop user-friendly software implementations of any novel analytical methods generated
  • Contribute to the deposit of software and study data to appropriate repositories
  • Contribute to research and teaching activities being carried out in the wider group, including providing informal advice to more junior researchers
  • May be involved in the supervision, with guidance, of final year undergraduate research projects and in providing support to postgraduate research students or Research Assistants
  • May contribute to events celebrating the public engagement of science/mathematics/statistics/computational biology
  • Develop an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment

The Person

Knowledge, Skills And Experience

  • Hard working and enthusiastic
  • High level of analytical and problem-solving capabilityAbility to rapidly acquire new analytical skills
  • Detailed subject knowledge in the area of applied statistics and data analysis
  • Ability to communicate complex information with clarity and to work well as part of a team
  • Scripting/programming ability using a command line interface
  • Some knowledge of one or more programming languages suitable for working in the area of statistics and data science (e.g. R, Python, Julia, C/C++)

Desirable

  • Detailed subject knowledge of existing statistical/computational methods and approaches for analysing high-dimensional data
  • Detailed subject knowledge of existing statistical/computational methods and tools for analysing human genetic data
  • Familiarity with analysing multi-omics data
  • Presentations at conferences and/or high-quality publications

Qualifications

  • A PhD in an appropriate research area (e.g. statistics, statistical genetics, computational biology, genetic epidemiology) (for research associate)
  • Good honours degree (or equivalent) in a quantitative discipline (e.g. mathematics, physics, statistics, computer science, bioinformatics) with some subject knowledge in applied statistics, genetics or computational biology (for research assistant)

Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a silver Athena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

In addition, we are a member of the Euraxess initiative supporting researchers in Europe.

Requisition ID: 28209

Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Higher Education

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