Job Description

We are looking for a keen and collaborative postdoctoral with a background in computational biology or bioinformatics to join an exciting new joint project between the UCL institute and HSL Pathology Ltd.
This is a unique chance to work on T-Cell lymphomas, using spatial transcriptomics to explore tumour biology in unprecedented detail. You will be based the Halo Building in the heart of the Kings Cross Knowledge Quarter, working alongside HSL specialised Laboratory scientists and UCL research team led by Professor Tariq Enver, Dr Rajeev Gupta and Dr Sam Marguerat.
Whats the project about?
This role focuses on understanding the biology of T-Cell using spatial transcriptomics and high dimensional data. You will:

• Generating and analysing large spatial transcriptomics datasets from clinical samples.
• Collaborate with laboratory scientists to bring together computational and experimental data.
• Carry out meta- analysis of flow cytometry datasets across a broader patient cohort.
• Contribute to identifying new biomarkers and exploring spatial tech in diagnostics.

Main duties of the job
Who are we looking for?

• A PhD (or nearly there) in computational biology, bioinformatics or related field.
• Candidates with a theoretical background in physics or mathematics are encouraged to apply.
• Experience with either Spatial transcriptomics or scRNAseq data analysis.
• Solid coding skills in R, Bash and Perl or Python.
• A collaborative mindset happy working across clinical and academic settings.

Why join us?
Because this isnt a run -of the- mill postdoc. You will be a part of a brand- new translational collaboration with room to shape the project and make a real impact.
This is a 2-year fixed term post, giving you the chance to work intensively on a focused, well-defined project that bridges cutting -edge computational biology, cancer research and clinical diagnostics.

• You will be based at the Halo building, a modern purpose- built lad and office space in the heart of Kings Cross one of Londons most dynamic and well-connected areas. With major transport link, great food and green spaces and a growing life sciences hub right on your doorstep, its a fantastic place to work.
• Access state-of-the-art lab and computational facilities.
• Be part of a genuinely collaborative team spanning academia and diagnostics.
• Contribute to research that could shape the future of T-Cell lymphoma diagnostics.

About us
At HSL we offer a variety of excellent staff benefits including:
Training and development opportunities supporting professional development
Annual performance related salary review
** No banding restrictions:**As we are a private company we are not restricted by salary bandings and so are able to negotiate appropriate salaries based on experience. This also means that annual salary reviews do not hit a band ceiling.
Discounted gym membership we have a corporate gym membership scheme with Better Gyms
Cash healthcare plan cash back on a variety of healthcare costs including dentist and opticians
Sick Pay Entitlement 5 paid days in the first year of employment, 20 days thereafter
Permanent Health Insurance and Death in Service Cover
Life Assurance providing salary continuation for long term illness (six months qualifying period)
Employee Assistance Programme supporting staff wellbeing
Season Ticket Loan Scheme interest free loan for the cost of annual travel ticket
Perkbox Access to additional staff perks and benefits such as high street discounts
Company Pension Scheme company and staff contributions which increase with service
Competitive annual leave allowance-23 days rising to 28 days after 5 years service
Flexible working hours 40 hours standard working week
Details
Date posted
11 June 2025
Pay scheme
Other
Salary
Depending on experience Up to 54,320 DOE
Contract
Fixed term
Duration
2 years
Working pattern
Full-time, Flexible working
Reference number
E0111-25-0036
Job locations
Health Services Laboratory
1 Mabledon Place
London
WC1H 9AX
Job description
Job responsibilities
Main Duties: To include, but not be restricted to, the following duties: 1. Contribute in all phases of the project lifecycle, from study design to publication. 2. Plan, develop and carry out original research. 3. To conduct data analysis ensuring its validity and reliability of data at all times. 4. To handle confidential data responsibly and ensure that confidentiality is maintain when applicable. 5. To have good awareness of the Human Tissue Act and to work according to it. 6. To maintain accurate and complete records of all findings. 7. Keep abreast of relevant literature and methodology developments relevant to the field. 8. Work collaboratively. 9. Communicate with both HSL and UCL and other group members on a regular basis to discuss projects updates. 10.Attend regular laboratory meetings and interact collaboratively with other scientific staff. 11. Attend appropriate scientific seminars, meetings, conferences and relevant training opportunities. 12. Participate in the activities of the group and department, contributing scientific ideas and innovative solutions. 13. To develop contacts and research collaborations within the institute and research fields. 14. Provide guidance as required to support staff and any students who may be assisting with research. 15. To help prepare and submit grants to appropriate funders. 16. To maintain awareness of health and safety regulations; to make sure all risk assessments are up-to-date and to ensure that all codes of practice are being followed. 17.As duties and responsibilities change, the job description will be reviewed and amended in consultation with the post holder. 18. The postholder will carry out any other duties as are within the scope, spirit and purpose of the job as requested by the line manager. Job description
Job responsibilities
Main Duties: To include, but not be restricted to, the following duties: 1. Contribute in all phases of the project lifecycle, from study design to publication. 2. Plan, develop and carry out original research. 3. To conduct data analysis ensuring its validity and reliability of data at all times. 4. To handle confidential data responsibly and ensure that confidentiality is maintain when applicable. 5. To have good awareness of the Human Tissue Act and to work according to it. 6. To maintain accurate and complete records of all findings. 7. Keep abreast of relevant literature and methodology developments relevant to the field. 8. Work collaboratively. 9. Communicate with both HSL and UCL and other group members on a regular basis to discuss projects updates. 10.Attend regular laboratory meetings and interact collaboratively with other scientific staff. 11. Attend appropriate scientific seminars, meetings, conferences and relevant training opportunities. 12. Participate in the activities of the group and department, contributing scientific ideas and innovative solutions. 13. To develop contacts and research collaborations within the institute and research fields. 14. Provide guidance as required to support staff and any students who may be assisting with research. 15. To help prepare and submit grants to appropriate funders. 16. To maintain awareness of health and safety regulations; to make sure all risk assessments are up-to-date and to ensure that all codes of practice are being followed. 17.As duties and responsibilities change, the job description will be reviewed and amended in consultation with the post holder. 18. The postholder will carry out any other duties as are within the scope, spirit and purpose of the job as requested by the line manager.
Person Specification
Qualifications
Essential

• PhD in a relevant subject

Experience
Essential

• Proven track record of scientific publication and conference presentations. Excellent knowledge of R, Bash and Perl or Python.
• Experience with either Spatial transcriptomics or scRNA-seq data analysis.
• Experience with handling large datasets.

Person Specification
Qualifications
Essential

• PhD in a relevant subject

Experience
Essential

• Proven track record of scientific publication and conference presentations. Excellent knowledge of R, Bash and Perl or Python.
• Experience with either Spatial transcriptomics or scRNA-seq data analysis.
• Experience with handling large datasets.