Postdoctoral Research Associate In Bioinformatics & Machine Learning

Barts Cancer Institute , Queen Mary University London; London; On-site; GBP 38,000 - 46,000; Full time

Job summary

A leading research institute in London is seeking a Postdoctoral Research Assistant to explore the oncogenic and immunogenic roles of transposable elements in cancer. Applicants should have a PhD in a relevant field and experience in computational analyses. The position involves collaborating with bioinformaticians and clinicians, presenting research findings, and developing data analysis pipelines. Competitive salary, benefits, and a diverse work environment are offered.

Benefits

Competitive salary

Access to a generous pension scheme

30 days' leave

Flexible working arrangements

Professional development opportunities

Qualifications

• Experience in developing pipelines for analysis.
• Must be organised and highly self-motivated.
• Ability to prepare manuscripts from high-quality data.

Responsibilities

• Conduct research on oncogenic and immunogenic roles of transposable elements.
• Collaborate with bioinformaticians, experimentalists, and clinicians.
• Present findings through manuscripts and oral presentations.

Skills

Computational analyses of epigenomic/transcriptomic data

Machine learning

Single-cell omics data

Excellent communication skills

Interpersonal skills

Education

PhD in a relevant biological or computational subject

Job description

About the Role

Applications are sought for a Postdoctoral Research Assistant to undertake research investigations in collaboration with and under the supervision of Dr Özgen Deniz to realise the objectives and development of the research programme on the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer. The appointed PDRA will be integrated into a multidisciplinary team and will collaborate with bioinformaticians, experimentalists and clinicians.

About You

Essential requirements for this post include a PhD in a relevant biological or computational subject and background in computational analyses of epigenomic/transcriptomic data and machine learning. Experience in single-cell omics data is desirable. The post holder will be responsible to develop pipelines for the analysis of transposable elements and must be organised, highly self-motivated and have excellent communication and interpersonal skills. The post holder will be expected to prepare manuscripts using high-quality data and make oral presentations.

About the Institute

The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. It is one of six institutes within The Faculty of Medicine and Dentistry (FMD) BCI is internationally renowned in many areas of cancer research and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists from the Centre for Experimental Cancer Medicine and the Barts NHS Trust to achieve improvements in cancer patient care. BCI is also a partner in the CRUK City of London Major Centre (together with UCL, Kings and the Francis Crick Institute) which is a Centre of Excellence in Biotherapeutics. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training.

About Queen Mary

At Queen Mary University of London, 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.

Benefits

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.

The post is based at the Charterhouse Square Campus in London. It is full time (35 hours per week), fixed term appointment for 2 years, with an expected start date of November 2025. The starting salary will be Grade 4, in the range of £38,483 - £45,974 per annum, inclusive of London Allowance.

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

13/08/2025, 23:55