Postdoctoral Research Assistant

Barts Cancer Institute , Queen Mary University London
Central London
11 months ago
Applications closed

Related Jobs

View all jobs

Diabetes Data Scientist (GRA/PDRA)

Research Assistant/Associate in Exoplanetary Remote Sensing and Data Science (up to 2 posts) (F[...]

Assistant Professor in Statistical Data Science

Assistant Professor in Actuarial Data Science (T&R)

Assistant Professor in Statistical Data Science

Assistant/Associate Professor, Air Quality & Data Science

About the Role

The post holder will be a core member of the Lamb research group (https://www.nds.ox.ac.uk/team/alastair-lamb), newly established at Barts Cancer Institute after 6 years in Oxford. The individual will have responsibility for developing computational aspects of the SPACE study (#SPACE_Study) centred on use of Visium spatial transcriptomics to interrogate the spatial and evolutionary relationships between prostate cancer cells (https://youtu.be/YdzF0-PFXhc;https://www.nature.com/articles/s41586-022-05023-2;)

About You

The successful candidate will have a PhD in a relevant subject and a proven track record in computational biology and data science, coming from either a biological or computational background. They will be expert in using R to process and analyse genomic data, with additional experience of another scripting language (e.g. Python). Previous experience in prostate cancer research is desirable but not essential. The post holder will have excellent communication and team-working skills and understand the importance of collaboration in team-science. They will be able to demonstrate self-awareness of their limitations and be able to provide examples that demonstrate their willingness to ask for help.

About the Institute / About the Project

Barts Cancer Institute (BCI) is a leading UK cancer institute and a Cancer Research UK Centre of Excellence. It has core funding from Cancer Research UK as part of the City of London Cancer Centre along with the Francis Crick Institute and UCL. BCI is renowned for ground-breaking basic research alongside translational cancer medicine, with strong links to Barts Health, Guy's and St Thomas' (GSTT) and other NHS Foundation Trusts. BCI is committed to supporting and developing future cancer researchers through its extensive postgraduate training programme.

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.

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.