Postdoctoral Research Associate In Bioinformatics & Machine Learning
Postdoctoral Research Associate In Bioinformatics & Machine Learning

Postdoctoral Research Associate In Bioinformatics & Machine Learning

London Full-Time 38483 - 45974 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to research cancer's genetic elements using bioinformatics and machine learning.
  • Company: Barts Cancer Institute is a leading centre for innovative cancer research and patient care.
  • Benefits: Enjoy competitive pay, generous leave, flexible working, and professional development opportunities.
  • Why this job: Make a real impact in cancer research while collaborating with top experts in a supportive environment.
  • Qualifications: PhD in a relevant field and experience in computational analysis and machine learning required.
  • Other info: This is a full-time, fixed-term role based in London, starting November 2025.

The predicted salary is between 38483 - 45974 Β£ per year.

About the Role

Applications are sought for a Postdoctoral Research Assistant to undertake research investigations in collaboration with and under the supervision of Dr Γ–zgen 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 Β£38,483 – Β£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. #J-18808-Ljbffr

Postdoctoral Research Associate In Bioinformatics & Machine Learning employer: Queen Mary University of London

At Queen Mary University of London, we pride ourselves on being an excellent employer, particularly for those in the field of bioinformatics and machine learning. Our commitment to fostering a diverse and inclusive work culture is complemented by competitive salaries, generous leave, and extensive professional development opportunities, all set within the vibrant environment of the Charterhouse Square Campus in London. Join us to contribute to groundbreaking cancer research while enjoying a supportive atmosphere that values work-life balance and personal growth.
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Contact Detail:

Queen Mary University of London Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Postdoctoral Research Associate In Bioinformatics & Machine Learning

✨Tip Number 1

Network with professionals in the field of bioinformatics and machine learning. Attend relevant conferences, workshops, or seminars where you can meet researchers and practitioners. This can help you gain insights into the latest trends and potentially lead to recommendations for the position.

✨Tip Number 2

Familiarise yourself with the specific research being conducted at the Barts Cancer Institute. Understanding their current projects and objectives will allow you to tailor your discussions and demonstrate your genuine interest during interviews.

✨Tip Number 3

Prepare to discuss your previous research experiences in detail, especially those related to computational analyses and machine learning. Be ready to explain how your skills can contribute to the development of pipelines for analysing transposable elements.

✨Tip Number 4

Practice your presentation skills, as the role involves making oral presentations. Consider creating a mock presentation based on your past research to showcase your ability to communicate complex information clearly and effectively.

We think you need these skills to ace Postdoctoral Research Associate In Bioinformatics & Machine Learning

PhD in a relevant biological or computational subject
Computational analysis of epigenomic data
Computational analysis of transcriptomic data
Machine learning techniques
Experience with single-cell omics data
Development of data analysis pipelines
Organisational skills
Self-motivation
Excellent communication skills
Interpersonal skills
Manuscript preparation
Oral presentation skills
Collaboration within multidisciplinary teams
Attention to detail

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your PhD and relevant experience in bioinformatics, machine learning, and computational analyses. Emphasise any work with epigenomic or transcriptomic data, as well as single-cell omics if applicable.

Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this specific role. Discuss how your skills and experiences align with the research objectives of Dr Γ–zgen Deniz and the Barts Cancer Institute.

Showcase Communication Skills: Since excellent communication is essential for this role, include examples of past presentations or manuscripts you have prepared. Highlight your ability to work within a multidisciplinary team and communicate complex ideas effectively.

Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for clarity, grammar, and spelling errors to ensure professionalism. A polished application reflects your attention to detail and commitment to quality.

How to prepare for a job interview at Queen Mary University of London

✨Showcase Your Research Experience

Be prepared to discuss your previous research projects in detail, especially those related to bioinformatics and machine learning. Highlight any specific methodologies you used and the outcomes of your work, as this will demonstrate your capability to contribute to the research programme.

✨Demonstrate Team Collaboration Skills

Since the role involves working within a multidisciplinary team, share examples of how you've successfully collaborated with others in past projects. Emphasise your communication skills and ability to work alongside bioinformaticians, experimentalists, and clinicians.

✨Prepare for Technical Questions

Expect questions that assess your knowledge of computational analyses, particularly in epigenomic and transcriptomic data. Brush up on relevant machine learning techniques and be ready to discuss how you would apply them to analyse transposable elements.

✨Express Your Motivation and Organisational Skills

The role requires a highly self-motivated individual who is organised. Be sure to convey your passion for cancer research and your approach to managing multiple tasks effectively. Discuss any tools or strategies you use to stay organised in your research work.

Postdoctoral Research Associate In Bioinformatics & Machine Learning
Queen Mary University of London

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