Postdoctoral Research Associate in Genomic Data Science

Queen Mary University of London; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading research university in Greater London is seeking a motivated Postdoctoral Research Associate in Genomic Data Science to join the Statistical Genomics team. The role involves developing computational tools for genomic analysis and contributing to research on genetic associations in health datasets. Candidates should have a PhD or nearing completion, as well as experience in analyzing genomic data and collaborative research within multidisciplinary teams. Competitive salary and benefits offered.

Benefits

Competitive salary

Generous pension scheme

30 days' leave

Flexible working arrangements

Professional development opportunities

Qualifications

• PhD in health data science, bioinformatics, computer science, computational biology.
• Experience in developing reproducible analytical workflows.
• Experience working in high-performance or cloud computing environments.

Responsibilities

• Contribute to the development of a research programme.
• Analyze large-scale genomic and clinical datasets.
• Develop interactive visualization tools.

Skills

Data management

Database skills

Experience in analyzing large-scale genomic datasets

Knowledge of clinical phenotyping ontologies

Machine learning/AI methods

R/Python scripting

Collaboration within multidisciplinary teams

Education

PhD or close to completion in health data science or related field

Job description

We are looking for a motivated and collegial Postdoctoral Research Associate (PDRA) in Genomic Data Science to join the expanding Statistical Genomics team of Dr Valentina Cipriani at the William Harvey Research Institute (WHRI, Queen Mary University of London, QMUL), whose research aims to develop and apply computational tools to identify the genetic determinants of rare Mendelian and common complex human genetic diseases using genomics and other omics data within large-scale health datasets.

The postholder will contribute to objectives and development of a research programme funded by Barts Charity, aimed at realising the full potential of Genes & Health and other large-scale health datasets to estimate rare disease prevalence and identify genetic associations in South Asians.

Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing large-scale genomic and clinical datasets, and in developing reproducible, scalable analytical workflows and interactive visualisation tools (using scripting languages such as R/Python) within high-performance or cloud computing environments.

Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data (ideally for the study of rare disease genomics).

You will also have experience working collaboratively within multidisciplinary teams, contributing to peer-reviewed publications, and managing your own workload to high standards.

Commitment to open science, good research and workplace practice, and equality, diversity and inclusion is essential.

Located at the Charterhouse Square campus, the WHRI is one of six institutes in the Faculty of Medicine and Dentistry, with over 600 staff members (PhD students, post-docs, all staff). The Institute is a world-leading centre for research, with a vibrant, multidisciplinary scientific environment devoted to innovative therapeutics in cardiovascular, endocrine and inflammatory diseases, and advances in genomics and other related omics applications for the study of rare and common complex diseases, closely connected with large-scale initiatives, such for example the 100,000 Genomes Project.

About Queen Mary

At QMUL, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Closing Date