Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges. We are seeking an enthusiastic bioinformatician to join the team of Prof. Muzlifah Haniffa in the Cellular Genetics programme at the Wellcome Sanger Institute for a 2 year fixed term contract. You will have the opportunity to contribute to cutting-edge research on human skin, organoids and immune system in health, development and disease, using computational methods. About us: The Haniffa lab is a leader in the international Human Cell Atlas initiative, aiming to systematically map all human cells across lifespan. Our lab applies disruptive omics technologies to study human cells at single-cell resolution. We harness state-of-the-art single-cell and spatial genomics technologies to understand how the immune system develops and maintains health, as well as how it responds to infection, inflammation, and disease. The team is a dynamic mix of wet-lab, computational researchers and clinicians, collaborating closely with world-leading experts in single-cell and spatial biology, such as Sarah Teichmann, Fabian Theis and Mohammad Lotfollahi. Professor Muzlifah Haniffa, a clinician-scientist and dermatologist, pioneers the application of single-cell genomics to uncover mechanisms of human development, tissue homeostasis, immunity and disease pathogenesis aiming at decoding the functional maturation of the human immune system. The Wellcome Sanger Institute offers multifaceted computing infrastructure including a powerful HPC cluster, OpenStack cloud computing, extensive data centre supporting genomics at scale driven science. Key responsibilities of the role: In this role, you will: Provide technical bioinformatics support for multiple research projects. Support the team with analysis and interpretation of biological data Keep up to date with and contribute to team discussions on bioinformatic tools used for single-cell analysis Support project delivery by performing data-wrangling tasks for data sharing with collaborators Attend lab meetings to discuss project priorities and progress About You: You are looking for a role that combines data analysis, code development, code standardisation and pipeline engineering. You are meticulous in your approach, following coding best practices, emphasizing thorough documentation and version control. Teamwork and collaboration are essential aspects of this role, and you are eager to establish effective working relationships with collaborators. You will have the opportunity to gain experience in public engagement activities alongside the team. Essential Skills: Bachelors in relevant subject or equivalent experience Experience with bioinformatics tools and languages, such as Python and shell scripting Experience with methods for analysis NGS and single cell datasets Familiar with NGS and in particular data processing pipeline with Nextflow Experience with version control systems such as github Good time management and organisational skills; be able to work to agreed deadlines Good IT & computer skills Competencies and Behaviours: Ability to communicate ideas and results effectively Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively prioritise, multi-task and work independently Demonstrates inclusivity and respect for all Demonstrate commitment to achieve objectives and complete tasks ensuring best practice is always applied Good attention to detail and record keeping Motivation and ambition to make a personal contribution to GRL Research Other Information: Salary per annum: £27,815-£33,045 dependent upon skills and experience Application Process: Please apply with your CV and a Cover letter outlining how you meet the criteria set out above. The interview panel may consist of representatives from collaborators at the University of Newcastle and as a result your information will be shared with third parties. If you require further information, please contact the recruitment team. Closing Date: 18th March 2025 Hybrid Working at Wellcome Sanger: We recognise that there are many benefits to Hybrid Working; including an improved work-life balance, with more focused time, as well as the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible. Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with the following staff networks, LGBTQ, Parents and Carers, Disability and Race Equity to bring people together to share experiences, offer specific support and development opportunities and raise awareness. The networks are also a place for allies to provide support to others. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That’s why we’re committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. Our Benefits: We are proud to deliver an awarding campus-wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work-related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative In March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines.