Job Summary Table of Data Science

Job Description Summary

The Centre for Haematology at Imperial College London seeks a talented Data Science specialist to join their academic team as a Lecturer. This role offers the opportunity to conduct independent research while collaborating with leading scientists in a world-class institution.

📋 Responsibilities in Data Science & Haematology

• Develop a competitive, independent research program in Data Science with applications in Haematology
• Build synergistic relationships with existing Principal Investigators and research groups within the Centre
• Foster collaboration across Imperial College London’s departments and centers
• Work with complex research datasets in areas including population genetics and genomics, epigenomics, metabolomics, and advanced imaging
• Analyze clinical datasets related to rare diseases and therapies such as stem cell transplantation and immunotherapy
• Develop new research initiatives while adhering to the highest scientific standards
• Supervise, train, and mentor staff and students in Data Science methodologies and research practices
• Contribute actively to the management of staff and research resources within the Department
• Develop and deliver educational content related to Data Science in biomedical applications
• Seek and secure research funding through grants and collaborative opportunities

🌟 Benefits and Perks of Working at Imperial

• Permanent tenured appointment (subject to probation review)
• Sector-leading salary with comprehensive benefits package
• Generous annual leave allowance of 39 days per year
• Competitive pension schemes
• Substantial start-up package commensurate with achievements, qualifications, and experience
• Extensive internal collaborative opportunities with researchers leading high-profile programs in Haematology
• Tailored training programs designed specifically for academic staff development
• Transparent promotion process with clear advancement pathways
• Access to world-class research facilities and infrastructure
• Opportunity to make significant contributions to cutting-edge medical research

🏫 Company Overview of Imperial College London

Imperial College London stands as one of the world’s top ten universities, internationally renowned for excellence in science, engineering, medicine, and business. With a global reputation for delivering world-class education and research, Imperial is a powerhouse of innovation tackling some of humanity’s most pressing challenges. The institution brings together over 22,000 students and 8,000 staff across nine campuses in London and maintains an extensive global network of collaborators and partners.

🤝 Company Culture at Imperial College

Imperial College London fosters a vibrant, collaborative environment where scientific imagination leads to world-changing impact. The institution values diversity of thought and background, creating an inclusive community where excellence thrives. Imperial’s core values of respect, collaboration, excellence, integrity, and innovation guide all activities and relationships within the college. The university provides numerous resources to support personal and professional wellbeing, including various staff networks and dedicated support services.

📈 Career Growth Opportunities in Data Science Research

As a Lecturer in Data Science at Imperial, you’ll have access to exceptional resources for career advancement. The university offers clear pathways for promotion within the academic hierarchy with transparent criteria and support. You’ll have opportunities to expand your research portfolio, develop new collaborative projects, access substantial research funding, and enhance your international reputation through Imperial’s global networks. The position provides excellent platforms for presenting at prestigious conferences, publishing in high-impact journals, and engaging with industry partners.

🌈 Diversity, Equity, Inclusion, and Belonging

Imperial College London is committed to creating an inclusive working environment for all. The institution actively works toward equality of opportunity and eliminating discrimination in all aspects of its operations. Imperial encourages applications from all backgrounds, communities, and industries, recognizing that diverse skills, experiences, and abilities strengthen the academic community and enhance research outcomes.

⚖️ Equal Opportunity Statement for Data Science Position

Imperial College London is an equal opportunity employer committed to building a diverse workforce. The institution does not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or any other legally protected status. All qualified applicants are encouraged to apply and will receive consideration for employment based solely on qualifications and abilities relevant to the position.

🏢 Remote Work Policy for Haematology Department

This position at the Hammersmith Campus is designated as on-site only, requiring regular physical presence at the research facilities. The nature of the research undertaken in the Centre for Haematology necessitates access to specialized laboratory equipment, clinical samples, and in-person collaboration with colleagues. While some administrative tasks may be completed remotely when necessary, candidates should expect to work primarily on campus.

📝 Application Process for Data Science Lecturer

1. Review the complete job description and requirements available through the Imperial College London careers portal
2. Prepare your application materials, including CV, research statement, and references
3. Submit your application through the online portal before the closing date
4. If shortlisted, attend interviews and possibly deliver a research presentation
5. References will be checked and final selection made based on all assessment criteria

⏰ Application Deadline for Academic Position

Applications must be submitted by June 30, 2025. However, Imperial College reserves the right to close the advert prior to this date should they receive a high volume of applications. Early submission is therefore recommended to avoid disappointment.

🔍 How to Apply for Lecturer Position

To apply for this position, please visit the Imperial College London jobs portal and follow the online application process. For technical issues during application, candidates may contact support.jobs@imperial.ac.uk for assistance.

📱 Social Media Links

Connect with Imperial College London on social media: – LinkedIn – Twitter – Facebook

❓ FAQs for Data Science Academic Position

When will the updated academic job titles take effect?

Effective from June 1, 2025, Imperial College London will be updating academic job titles to align with peer institutions nationally and internationally. Further details regarding the updated titles will be provided during the recruitment or onboarding process.

Who can I contact for informal inquiries?

Informal inquiries about the position can be directed to Professor Cristina Lo Celso (c.lo-celso@imperial.ac.uk) or Professor Tassos Karadimitris (a.karadimitris@imperial.ac.uk), Co-Directors for the Centre of Haematology.

What research areas will I have access to?

You will have opportunities to work with datasets in population genetics and genomics, epigenomics, metabolomics, imaging, advanced cell biology, mouse genetics, biochemistry, structural biology, immunotherapy, immunogenetics, and clinical datasets from patients with rare diseases.

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