Senior Bioinformatician/Bioinformatician
Wellcome Genome Campus, United Kingdom
Full Time Senior-level / Expert GBP 36K - 53K
Wellcome Sanger Institute
We are a world-leading genomics research institute in Cambridge. Our work helps improve human health and understand life on EarthDo 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 a Senior Bioinformatician/Bioinformatician (dependent upon skills and experience) to support single-cell and spatial transcriptomic studies needed to train large-scale AI-based foundation models as part of a collaborative project with Open Targets.
This role will aid multiple computational projects across the lab, focusing on curating large-scale cohorts of training data to train foundation models. The position involves working within an interdisciplinary team of life scientists, computer scientists, and machine learning scientists. This position is for a 3 year fixed term contract.
You will be responsible for:
This is an exciting opportunity to work in single-cell and spatial genomics to understand how the immune system develops and maintains health.
Help or lead (senior)generating data analysis, and interpret large single-cell genomics data relating to the Human Cell Atlas research generated by the group, shared by collaborators and publicly available, including multi-omic and spatial datasets (e.g. scRNAseq, scATAC, 10x Genomics Visium and Xenium).
Implement innovative and creative data analysis strategies to aid in the pursuit of biological insights and clinical translation using single-cell research.
Work within the Lotfollahi team to answer research questions formulated together with the members of Haniffa Lab, and with team members across the wider Institute as appropriate
Contribute to or lead (senior) problem-solving discussions to solve complicated or multifaceted problems and generate novel ideas and new approaches.
Organise and keep track of developed codes and generated data within the group.
Feedback results to project leaders when required to achieve deadlines.
To prepare high-quality data reports and manuscripts to communicate results, including through publication and presentations at scientific meetings.
To take a full part in the general duties of the team, and to pass on skills and knowledge to other team members and visitors. To take part in wider Sanger Institute activities as appropriate.
For full responsibilities of the roles please see links below:
About Us:
Open Targets is a public-private partnership involving the Wellcome Sanger Institute, a world-leading genomics institution, EMBL’s European Bioinformatics Institute (EMBL-EBI), a global leader in the management, integration and analysis of public domain life science data, and world-leading pharmaceutical companies GSK, Sanofi, MSD, Pfizer, and Genentech.
The Open Targets (OT) research programme generates and analyses data to connect targets to diseases, assess the strength of this evidence, and help identify and prioritise targets for drug discovery. This includes evidence that causally links targets and diseases, as well as foundational data that helps us understand biological processes and disease progression more deeply.
About you:
You will maintain a key understanding of the research portfolio within the team and contribute to the development of innovative and creative data analysis strategies. You will also contribute to the development of the training pipeline and machine learning and artificial intelligence models. Additionally, you will have the opportunity to develop your skills in machine learning and AI models. Finally, you will be responsible for exploring opportunities to transition project-based analysis work into established scalable pipelines and advocate for open and reproducible science.
You will join an interdisciplinary team of life scientists, computer scientists, and mathematicians. We all learn from each other and work together in supporting Wellcome's mission to address worldwide health challenges.
You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications on genetics and genomics approaches.
Essential Skills:
BSc/MSc for junior or PhD for senior in a relevant discipline (e.g. Computational Biology, Genetics, Bioinformatics, Physics, Engineering or Applied Statistics/Mathematics); or equivalent working experience in Bioinformatics or a related discipline
Extensive (Senior) Experience programming in high-level scripting languages (Preferably Python and/or R), and the Unix Shell
Deep (Senior) understanding and some experience in the fields of genomics, data processing and high-throughput data analysis
Experience in single-cell genomics data analysis and integration, e.g. scRNAseq, scATAC (desirable)
Extensive experience developing statistical/machine-learning methods for the analysis of large-scale biological datasets, particularly Gaussian processes, neural networks and deep generative models (desirable)
Extensive experience in a research environment with an established track record of productivity through publications, or writing reports in the industry
Enthusiastic, proactive attitude and desire to learn
Strong communication skills to allow efficient interactions with team members
Commitment, problem-solving skills and attention to detail
Ability to organise own workload and manage competing priorities
Ability to summarise complex information and present to a wide variety of audiences in a concise and logical manner
Demonstrates inclusivity and respect for all
Ability to quickly understand scientific, technical, and process challenges and breakdown complex problems into actionable steps (senior bioinformatician)
Strategic thinking and the ability to see the ‘bigger picture (senior bioinformatician)
Other Information:
Application Process:
Please upload your current CV and a cover letter outlining which role you would like to be considered for and how your skills and experience meet the criteria for the role.
Salary per annum (dependent upon skills and experience):
Bioinformatician - £36,924-£43,867
Senior Bioinformatician - £44,905-£53,349
Closing Date: 25th 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.
Tags: Bioinformatics Biology Data analysis Drug discovery Engineering Generative modeling Machine Learning Mathematics Pharma PhD Physics Pipelines Python R Research Statistics
Perks/benefits: Career development Equity / stock options Health care
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