Applied Machine Learning Researcher

TN United Kingdom; London; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

An established industry player is seeking a talented Applied Machine Learning Researcher to join their innovative team in London. This role focuses on the integration of multi-omics data and the development of AI tools to enhance research capabilities in bioinformatics. You will have the opportunity to contribute to groundbreaking research initiatives, collaborate with cross-functional teams, and publish your findings in peer-reviewed journals. With a commitment to diversity and flexible working arrangements, this position offers a supportive environment for professional growth and innovation in the field of biomedical data science.

Benefits

Generous Leave

Flexible Working Arrangements

Pension

Health and Wellbeing Support

Learning Budgets

Recognition Programs

Qualifications

• Research experience in Bioinformatics or Computational Biology applying ML approaches.
• Proven experience applying ML techniques to omics data types.

Responsibilities

• Design and conduct research using multi-omics data integration techniques.
• Develop ML approaches to extract insights from complex biological datasets.

Skills

Bioinformatics

Machine Learning

Python

Statistical Methods

Data Privacy

Problem Solving

Collaboration

Communication Skills

Education

PhD in Bioinformatics

MSc in Computational Biology

Tools

AI Frameworks

Cloud Development

Job description

Applied Machine Learning Researcher, London

Client: Genomics England

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: af97b0002458

Job Views: 3

Posted: 02.05.2025

Expiry Date: 16.06.2025

Job Description

We are seeking a researcher specialising in multi-omics data analysis and ML applications to join our team. The successful candidate will contribute to research initiatives using our unique datasets, particularly those in the National Genomic Research Library (NGRL), and drive innovation in the integration of multi-omics data sources. This role combines cutting-edge research with practical applications in bioinformatics, biomedical data science, or related clinically-oriented areas. You will collaborate with internal teams and external partners to develop novel applications for analysing complex biological data, especially in areas such as transcriptomics, proteomics, and metabolomics. This position offers the opportunity to contribute to scientific publications while developing AI tools that advance our research capabilities and ensure responsible use of participant data.

Responsibilities

1. Design and conduct research using our datasets, focusing on multi-omics data integration techniques and applications.
2. Develop and implement ML approaches to extract insights from complex biological datasets, supporting research in rare conditions and cancers, including data pre-processing and model evaluation.
3. Collaborate with cross-functional teams and external partners to advance research initiatives.
4. Evaluate and adopt AI tools to enhance research capabilities, emphasizing decision support tools for data privacy and leakage prevention.
5. Contribute to peer-reviewed publications and present findings at scientific conferences.
6. Provide expertise on AI-enabled multi-omics data analysis to support broader research objectives.

Skills and Experience

1. Research experience in Bioinformatics, Computational Biology, or related fields applying ML approaches.
2. Proven experience applying ML techniques to at least one omics data type (transcriptomics, proteomics, metabolomics, or spatial omics).
3. Experience with multi-omics data integration, e.g., using graph models, with a preference for spatial omics.
4. Publications in peer-reviewed journals and presentations at top conferences.
5. Proficiency in Python, AI frameworks, and cloud development.
6. Strong understanding of statistical methods for research quality.
7. Ability to work collaboratively with teams and academic partners.
8. Excellent written and verbal communication skills.
9. Self-motivated, eager to learn, with problem-solving skills and attention to detail.
10. Experience evaluating ML model risks, especially regarding data privacy, is advantageous.

Qualifications

1. PhD or MSc in Bioinformatics, Computational Biology, Applied ML, or related fields.
2. Practical experience with at least one omics data analysis using AI; multi-omics integration, e.g., spatial data, preferred.
3. Record of publications in relevant journals and conferences.

Additional Information

Salary from £70,500

Please submit your CV and a 1-page cover letter explaining how your skills align with the role. Also, include a PDF or recognized publication of an article you authored in a peer-reviewed journal. Applications without this will not be considered.

Benefits and Diversity

We offer a comprehensive benefits package, including generous leave, flexible working arrangements, pension, health and wellbeing support, learning budgets, and recognition programs. We are committed to diversity and inclusion, ensuring a respectful environment for all employees. We also support flexible working patterns and provide adjustments for applicants as needed.

Workplace and Onboarding

Our blended working model expects most employees to work in the office at least twice a month. Office locations include Canary Wharf, Cambridge, and Leeds. All successful candidates will undergo background checks, including a DBS check, and should disclose any previous offences during application.