At a Glance
- Tasks: Join us as a Research Fellow to analyse complex data sets in cancer research.
- Company: Be part of PharosAI, a pioneering venture transforming cancer care with AI and data.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: This is a full-time role with a fixed term contract until March 2027.
- Why this job: Make a real impact in precision medicine while working with cutting-edge technology and diverse teams.
- Qualifications: Bring your expertise in biostatistics, AI, and machine learning to drive innovative research.
The predicted salary is between 45300 - 52000 € per year.
The Faculty of Life Sciences & Medicine at King’s College London seeks to appoint a Research Fellow in Computational Biostatistics in the Comprehensive Cancer Centre, which is the academic arm of one of the leading cancer centres in Europe bringing together world-class clinical services delivered by our NHS partners, with research and education for the benefit of cancer patients in South East London and beyond.
We are seeking a highly motivated and experienced Research Fellow in Computational Biostatistics with excellent technical skill and extensive experience analysing complex data sets in a translational research environment. You will apply your biostatistics skills to technology-driven research questions across the broad range of multimodal data with a focus on spatial transcriptomics, single cell and large-scale omics and support for imaging, including medical imaging and digital pathology, data using cutting-edge AI and machine learning approaches. The ideal candidate will play a critical role in integrating diverse data sources to uncover mechanistic insights and inform precision medicine strategies.
You will work closely with the bioinformatics and clinical data teams to design experiments, explore and analyse complex data sets, formulate analysis strategies, implement statistical approaches, interpret and explain analysis results. You will build bespoke statistical analysis pipelines using the latest methods to help deliver results. Moreover, you bear responsibilities for developing the general level of statistical thinking across PharosAI activities. This is a full-time position and you will be offered a fixed term contract until 31 March 2027.
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Provide statistical analysis expertise to achieve complex PharosAI’s research objectives.
- Experience in AI & Machine Learning and causal inference methodologies for robust and generalisable multimodal data analyses.
- Analyse data to interpret outcomes, predict trends, and inform decision-making across many disciplines.
- Experience in Bayesian statistical analyses approaches.
- Engage with industrial and academic partners to apply novel mathematical, statistical and machine learning and artificial intelligence techniques to relevant problems.
- Work independently at all points of the data analysis workflow.
- Experience of mentorship of statistical projects and providing statistical support to non-computational colleagues.
- Experience of working in multi-disciplinary teams and the ability to present data to audiences of different disciplines.
- Experience of working with industry and NHS.
- Strong organisational skills and attention to detail.
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
Grade and Salary: £53,149 - £62,422 per annum inclusive of London Weighting Allowance
Job ID: 116206
Post Date: 29-May-2025
Close Date: 12-Jun-2025
Contact Person: Anita Grigoriadis
Contact Details: Anita.grigoriadis@kcl.ac.uk
Research Fellow in Computational Biostatistics in London employer: Corehr
At King’s College London, we pride ourselves on fostering a collaborative and inclusive work environment that empowers our employees to thrive. As a Research Fellow in Computational Biostatistics within the Comprehensive Cancer Centre, you will have access to cutting-edge resources and a vibrant community dedicated to advancing cancer research and patient care. With opportunities for professional development and mentorship, you will play a pivotal role in shaping innovative solutions that make a real difference in the lives of patients across South East London and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in Computational Biostatistics in London
✨Tip Number 1
Familiarise yourself with the latest advancements in computational biostatistics, particularly in AI and machine learning. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the cancer research and biostatistics communities. Attend relevant conferences or webinars to meet potential colleagues and learn about the latest trends, which can give you an edge in discussions during the hiring process.
✨Tip Number 3
Prepare to discuss specific projects where you've applied statistical analysis to complex datasets. Be ready to explain your thought process and the impact of your work, as this will showcase your practical experience and problem-solving skills.
✨Tip Number 4
Research PharosAI's current projects and initiatives. Understanding their goals and challenges will allow you to tailor your conversations and demonstrate how your skills can contribute to their mission, making you a more attractive candidate.
We think you need these skills to ace Research Fellow in Computational Biostatistics in London
Some tips for your application 🫡
Understand the Role:Read the job description thoroughly to grasp the specific skills and experiences required for the Research Fellow in Computational Biostatistics position. Tailor your application to highlight how your background aligns with these requirements.
Craft a Strong Supporting Statement:In your supporting statement, clearly articulate how you meet the essential criteria listed in the advert. Use specific examples from your experience to demonstrate your expertise in statistical analysis, AI, and machine learning.
Highlight Relevant Experience:Make sure to emphasise any relevant experience you have in analysing complex datasets, particularly in a translational research environment. Mention your familiarity with Bayesian statistical analyses and your ability to work independently throughout the data analysis workflow.
Review and Edit:Before submitting your application, review your CV and supporting statement for clarity and conciseness. Ensure there are no grammatical errors and that all information is accurate. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Corehr
✨Know Your Data
Familiarise yourself with the types of complex datasets you might encounter in this role, such as spatial transcriptomics and single-cell data. Be prepared to discuss your experience with these data types and how you've applied statistical methods to analyse them.
✨Showcase Your Technical Skills
Highlight your expertise in AI and machine learning methodologies during the interview. Be ready to provide examples of how you've used these techniques in past projects, particularly in relation to causal inference and Bayesian analyses.
✨Demonstrate Collaboration
This role involves working closely with bioinformatics and clinical data teams. Prepare to discuss your experience in multi-disciplinary teams and how you've effectively communicated complex statistical concepts to non-computational colleagues.
✨Prepare Questions
Have insightful questions ready about PharosAI's current projects and future directions. This shows your genuine interest in the role and helps you understand how you can contribute to their objectives.
