Machine Learning Engineer, Francis Crick
Data Science / Deep Learning
£48.6-55.9k
Biomedical research institute
Be an early applicant
Biomedical research institute
1001+ employees
Be an early applicant
£48.6-55.9k
1001+ employees
Company mission
To discover without boundaries.
Role
Who you are
- The post holder should embody and demonstrate our core Crick values: bold, imaginative, open, dynamic and collegial
- Strong mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research
- Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R
- Experience of applying deep learning techniques to omics datasets
- Ability to read machine learning research articles and implement the algorithms described
- Experience of working with high performance computing clusters (Bash, Slurm etc)
- Good understanding of MLOps for experiment tracking, model and data versioning, hyperparameter tuning and results visualisation
- Experience in database technologies: SQL, NoSQL
- An understanding of good software engineering principles
- An understanding of reproducibility, repeatability and replicability for scientific software
- Able to work both autonomously and collaboratively in multidisciplinary teams
- Excellent communication skills, with the ability to build effective relationships at all levels and the ability to communicate technical concepts to a non-technical audience
- First- rate problem solving skills
- Able to work accurately under pressure and delivering with tight deadlines
- Degree in Computer Science, Machine Learning or equivalent experience and a demonstrable track record of working on these types of problems with impactful results
Desirable
- Familiarity with SOTA methods for combining multi--omics datasets ideally including natural language methods
- Knowledge of XAI approaches, uncertainty quantification and safety in the use of AI in a medical setting
- Background knowledge of immune-oncology
- Experience of working with clinical data and/or developing tools ultimately to be used in a clinical environment
- Experience with other technologies/languages (C++, Matlab, Nextflow)
- Working experience in large-scale omics data analysis applications and databases
- Experience of working with Public Cloud (AWS/GCP/Azure)
- Experience of Agile or similar delivery oriented project methods and tools
- Building data visualisation tools
- A publication history in applicable domains
- Technical writing skills
What the job involves
- Contract term: 3 years
- Reports to: Amy Strange, Software Engineering and AI Facility Lead and MANIFEST Consortium Lead, Prof. Samra Turajlic
- The role will be placed in the Software Engineering and AI facility and will support the MANIFEST research platform led by Prof. Samra Turajlic (Cancer Dynamics Laboratory)
- We are looking for a data scientist / machine learning engineer to join the project team to work on integrated and multimodal approaches to predicting immune-oncology response for the unique dataset being compiled as part of the MANIFEST consortium
- Specifically, this role will be focussed on multiomics (RNASeq, WES, WGS), blood and clinical data initially but there may be opportunity to expand into imaging modalities later on. This is an opportunity to develop state-of-the-art deep learning methods for a remarkable dataset
- The post holder will work closely with the Software Engineering and AI team and Cancer Dynamics lab within the Francis Crick Institute
- They will also interact closely with other laboratory staff from the MANIFEST platform, as well as with post-docs, students, scientists, technicians from the lab, and scientific partners of MANIFEST
- To develop machine learning based analyses approaches in accordance with the requirements of the project
- Stay current with the latest thinking in the field through building a library of related publications
- Develop approaches to evaluate the performance of ML models in relation to project objectives
- Design and develop high-quality, optimised and maintainable pipelines and software to meet project needs
- Work in close collaboration with clinical scientists, bioinformaticians and other project team members both within the Facility and MANIFEST platform to understand the full range of data and meta-data being produced for the project
- Assist with creating and supporting a productive and efficient standardised model development work-flow as appropriate for the project (including versioning and automation)
- Produce, update or otherwise maintain documentation for project, and present results updates back to the project team and other collaborators
- Assist with workload planning by providing estimates
- Provide engineering support and mentoring as required to other members of the project team
- To attend, and report research results at regular group meetings
- To write and present work to MANIFEST stakeholders as required
- To engage in relevant MANIFEST programme workflows with academic, NHS and industry partners
Application process
- Closing Date: 19/Jan/2025 23.59 GMT
Salary benchmarks
Our take
Named for the co-discoverer of the DNA double helix, the Francis Crick Institute was founded in 2015 through the merger of the MRC's National Institute for Medical Research and CRUK's London Research Institute. Its mission is to push the boundaries of our understanding of how life works, making it the largest single-site biomedical research institute in Europe, with 2,000 staff and students supporting over 100 research groups.
One of the Institute's strengths is its ability to collaborate extensively with external research groups, boasting over 1,400 partnerships in more than 90 countries. These collaborations, however, pose data protection challenges due to the need to transfer vast amounts of sensitive information across borders. The Institute has addressed this by developing its own Trusted Research Environment toolkit, which allows remote teams to share data securely and compliantly in the cloud.
In recent news, the Francis Crick Institute has partnered with Broken String Biosciences to advance research into amyotrophic lateral sclerosis (ALS), demonstrating its commitment to impactful collaborations. Furthermore, the Institute secured £1 billion in funding back in 2022. Despite the UK's declining position in global science funding rankings, the Institute is maximising its effectiveness through the BRIDGE network and investments in AI and machine learning. A notable example is Google’s subsidiary DeepMind establishing a research lab within the Institute to enhance biology and genomics research.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Jul 2022
$1.2bn
GRANT
Total funding: $1.2bn
Company benefits
- 28 days of holiday each year, plus three additional days (usually taken over Christmas) and bank holidays
- Defined contribution pension scheme, with the Crick contributing between 3% - 16% of salary
- Life assurance
- Season ticket/car parking loan
- Annual leave purchase
- Childcare support allowance
- Back-up dependent care
- Discounted annual gym membership
- Bike to Work scheme
- Payroll giving
- Shopping discounts
Company values
- Bold
- Imaginative
- Open
- Dynamic
- Collegial
Company HQ
Somers Town, London, UK
Articles
Leadership
Paul Nurse
(CEO, not founder)The first Director and Chief Executive of the Francis Crick Institute. Was previously President of Rockefeller University in New York. In 2001 was awarded the Nobel Prize in Physiology/Medicine as part of a team that discovered the role of protein molecules that control the duplication of cells.
Share this job
View 2 more jobs at Francis Crick