Senior / Principal Statistician - Bioinformatics & Biostatistics

The Francis Crick Institute
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist (Hiring Immediately)

Senior Data Scientist

Principal Data Scientist

Principal Consultant, Advanced Analytics - Data Science (UK)[Apply in 3 Minutes]

Principal Data Scientist

Head of Data Science and AI (Hiring Immediately)

Senior / Principal Statistician - Bioinformatics & Biostatistics This is a full-time permanent position on Crick terms and conditions of employment. This role is advertised as a Senior / Principal Statistician meaning the correct level will be assigned to the successful candidate subject to skills and experience. Summary The Francis Crick Institute seeks to recruit a collaborative and self-motivated Statistician with excellent technical skill and extensive experience analysing complex data sets in a biological research environment, at either Senior or Principal level. In this role, you will be working as part of the Bioinformatics & Biostatistics Scientific Technology Platform (STP) , a talented and dynamic team to provide statistical analysis expertise to help Francis Crick research groups achieve their research ambitions. The Bioinformatics & Biostatistics STP is a centre of excellence in Data Science that leverages its knowledge to facilitate discovery across the Crick and extract biological meaning from large, complex and diverse datasets. Work collaboratively across the Crick to co-design experiments, formulate analysis plans and interpret results. Perform standard and advanced analyses of high-dimensional, data-intensive and complex research questions across the biomedical research spectrum using bioinformatics, biostatistics, machine learning and AI approaches. Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills. Design innovative approaches for recurrent and novel projects, and deploy corresponding tools internally, across the Crick and beyond. You will apply your biostatistics skills to technology-driven research questions across the broad range of biomedical research activities found at the Crick. The successful applicants will have a proven track record in collaborative academic research, including statistical analysis and interpretation of large, complex datasets. You should possess a PhD with significant experience in bioinformatics, mathematics, or statistics biomedical-based research with a large computational component. Project summary In this position, you will play a key role in providing Francis Crick research groups with access to statistical expertise. You will work closely with the scientific groups to design experiments, explore and analyse complex data sets, formulate analysis strategies, implement statistical approaches, interpret and explain analysis results and help inform research decisions. You will build bespoke statistical analysis pipelines using the latest methods to help deliver results. In addition, you will have the opportunity to develop others through mentoring. In addtion for the Principal role: Working with the leadership, you will lead on all aspects of complex statistical analysis projects involving data from the latest cutting-edge experiments run at the Crick. You will work to build collaborative relationships with researchers and group members. You will have the opportunity to help develop the group by taking on analysis development, project management and staff development projects. In addition, you bare responsibilities for developing the general level of statistical thinking across the Institute. Key responsibilities Provide statistical analysis expertise to help Francis Crick scientists achieve their research objectives. Provide expertise to inform on the experimental and analysis design process. Analyse complex biological data sets using a wide range of statistical analysis approaches, biological resources and bioinformatic methods to deliver on complex bespoke analysis goals. Interpret, evaluate and apply novel statistical analysis approaches to build bespoke analysis pipelines to solve research questions. Apply statistical expertise to help scientists interpret results and make research decisions. Help support the analysis efforts of the Bioinformatics & Biostatistics group by providing expert statistical support to other group members. Work independently at all points of the data analysis workflow. Help to develop others by mentoring and sharing expertise and experience. Help to support and develop group project management and reporting procedures. Continue professional development through maintaining awareness of developments in the bioinformatics, biostatistics and research communities. Play a role in developing statistical capabilities and understanding across the Institute regarding awareness, analysis approaches, software and training. Participate and contribute to Crick meetings, workshops and seminars. Publish where appropriate. In addition for the Principal role: Lead collaborative statistical analysis projects involving multiple statisticians, bioinformaticians and researchers. Provide leadership within the group in line with core Crick values to help achieve group and institute objectives. Take on specific group responsibilities in analysis development, project management and staff development. Provide support to group management in managing projects and developing the group. Line management of some members of the Bioinformatics and Biostatistics STP as required including assisting and independently performing PDRs Support the statistical training and development of statisticians and bioinformaticians within and outside of the group. Key experience and competencies The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial, in addition to the following: Essential Qualifications, experience and competencies : A degree in a relevant subject with an extensive mathematical component. Excellent scientific analysis skills. Extensive experience applying statistical analysis techniques to solve complex data analysis problems in a collaborative biological research environment. Experience in statistical modelling, machine learning or Bayesian inference. Expert-level statistical programming experience in at least one programming language such as R, Python, or another language relevant to the role. Experience applying statistical data analysis to multiple concurrent projects in a collaborative biological research environment to provide publication-quality analysis results to researchers. Experience in applying expertise to the experimental and analysis design process. A good understanding and experience of working with NGS data. An understanding of the statistical techniques used in the analysis of NGS data. The ability to work independently at all aspects of the analysis project workflow. Experience in mentoring and sharing expertise with others. The ability to organise and prioritise workload within a project management framework. Excellent scientific communication skills within a research environment, building highly effective working relationships with team and customers. In addition for the Principal role: A deep technical understanding of statistical analysis approaches applied to biological research data and experimental design. The ability to mentor and develop statisticians and bioinformaticians at all stages of the analysis project workflow. Extensive experience interacting with research leads to helping solve and develop research questions. Desirable Qualifications, experience and competencies: Familiarity with NGS analysis methodologies and protocols . Expertise in one or more specific genomic technology. An understanding of programming, particularly regarding big data, data visualisation and data-mining techniques within a genomic setting. Knowledge of research areas relevant to Crick research. Experience in software development processes and management. Experience in teaching statistics. Find out what benefits the Crick has to offer: For more information on our great pay and benefits package please click here:https://www.crick.ac.uk/careers-and-study/life-at-the-crick/pay-and-benefitsEquality, Diversity & Inclusion: We welcome applications from all backgrounds. We are committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, pregnancy, age, disability, or civil partnership, marital or family status. We particularly welcome applications from people who are Minority Ethnic as they are currently underrepresented in the Crick at this level. Diversity is essential to excellence in scientific endeavour. It increases breadth and perspective, leading to more innovation and creativity. We want the Crick to be a place where everyone feels valued and where diversity is celebrated and seen as part of the foundation for our Institute’s success. The Crick is committed to creating equality of opportunity and promoting diversity and inclusivity. We all share in the responsibility to actively promote dignity, respect, inclusivity and equal treatment and it is our aim to ensure that these principles are reflected and implemented in all strategies, policies and practices. Read more on our website:https://www.crick.ac.uk/careers-and-study/life-at-the-crick/equality-diversity-and-inclusion

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.