Senior Research Technician

Britsoccrim; Birmingham; On-site; GBP 29,000 - 32,000; Part time

Job summary

A leading company is seeking a candidate for the role of applying AI-defined molecular classifications for ovarian cancer. This position offers a fixed-term contract with opportunities for international travel and collaboration in a multidisciplinary project. Candidates should possess relevant qualifications and experience in laboratory techniques, and be prepared for flexible working hours.

Qualifications

• Willingness for international travel and flexible hours.
• Extensive relevant workplace experience.
• In-depth knowledge of laboratory methods and equipment.

Responsibilities

• Participate in international meetings across time zones.
• Work flexibly in various areas of the laboratory as required.
• Assist with the development of AI-based molecular diagnostic tests.

Skills

Virtual collaboration

Laboratory techniques

Histopathology processing

Microscopy

Molecular testing skills

Organisation

Education

GCSE level 2 in mathematics and English

Equivalence qualification or degree in a relevant subject

Job description

Full time starting salary is normally in the range £29,647 to £31,460, with potential progression once in post to £35,388

Part Time (28.8 hours per week)

Fixed Term contract up to August 2026

International travel may be required for this role

Background

We are inviting applications for a position for the Application of AI-defined Molecular Classifications in Ovarian Cancer (AAIMC-OC) within the Surgical Research Laboratory at the Cancer and Genomic Sciences Department.

AAIMC-OC is an exciting international multidisciplinary collaborative project with the overarching aim to develop ways to apply AI-defined molecular classifications globally. This first pilot of the consortium aims to develop a novel molecular diagnostic test based on H&E images of ovarian cancer and to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence the performance of our new AI-algorithms. In addition, the project will establish a privacy-preserving platform for testing the newly generated algorithm on locally collated images in low-and-middle-income countries.

Because of our multiple international collaborators from different time zones and full-time clinical care teams, we look for individuals with the flexibility to accommodate virtual meetings outside the normal working hours if required (up to 2-3 times per month). There is a high possibility that you will be offered the opportunity for brief international visits (e.g. to Amsterdam; up to 1-2 times during the tenure of the appointee) to fulfil the duties for this project.

In order to flexibly use resource you may be asked to work in different areas of the Surgical Research Laboratory, department or wider university.

Required Knowledge, Skills, Qualifications, Experience

• Willingness to participate in virtual meetings outside of normal working hours, as the project includes international stakeholders across various time zones and full-time clinical care teams.
• Availability for occasional international travel (up to two trips during the project’s tenure) to assist with project delivery.
• Extensive relevant workplace experience, equivalent professional qualification or degree in an appropriate subject.
• GCSE level 2 (A*- C/4-9) or equivalent level 2 qualification in mathematics and English.
• In-depth practical knowledge of relevant technical and scientific methods. Previous experience of histopathology processing techniques, microscopy and/or molecular testing skills are desirable.
• Extensive experience of similar laboratory based work, together with familiarity with a wide range of laboratory equipment.
• Positive service attitude and shows courtesy in dealing with others.
• Ability to organise and manage own work load and demonstrate flexibility in terms of work practices/requirements.

Informal enquiries to Carol Benham, email:[e-mail]

To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.

Valuing excellence, sustaining investment

We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.

£29,647 to £31,460. Grade: 5