Research Associate

University of Glassgow

United Kingdom

October 17, 2022

Description

Research Associate

Job Purpose

This is an exciting research opportunity to join the laboratories of Professor David Chang (Institute of Cancer Sciences) and Dr Ke Yuan (Computer Science) and use a multidisciplinary approach to study artificial intelligence and machine learning applications in the management of pancreatic cancer. Pancreatic cancer is soon to be the second highest cancer related mortality in the western societies, and its overall survival has not changed significantly in the last few decades. While significant understanding in the molecular pathology of pancreatic cancer has been made through large scale genomic and transcriptomic sequencing projects, the full utility of molecular data, especially in a multi-omics analysis fashion has not been fully explored and capitalised with the utilisation of artificial intelligence and machine learning. The post holder will perform research on machine learning and AI approaches to better prognosticate and better prediction of treatment response in pancreatic cancer utilising genomics, transcriptomic, digital pathology / pathomics and radiology / radiomics.

This post is funded through PANCAIM (https:// pancaim.eu), an European Commission funded H2020 consortium aiming to improve outcome of pancreatic cancer by leveraging multi-omic AI approach, and will have close interaction with other researchers and members of the consortium. The post is ideally suited for a motivated individual with a PhD in a relevant field, be driven by scientific curiosity, and have an excellent publication record for their career stage and scientific background. Ideally the successful candidate would have a strong track record or keen interest in artificial intelligence and machine learning, and a deep understanding of the associated experimental methodologies. Experience with genomics and digital pathology analysis would be an advantage.

About You

The ideal candidate will have a PhD in computational sciences (deep learning, computer vision, medical image analysis, bioinformatics, biostatistics, genomics) and experience doing research in the field of digital pathology or cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics and (bio)statistics, biology, or medicine. Applicants should have a proven publication record.

A computing background is not strictly necessary, but you must be keen to work in a dry setting. For applicants with computing experience, fluency in Linux/Unix, and excellent knowledge in a programming language is expected (Python, R/BioConductor). Prior experience with digital pathology or genomics analysis are considered an advantage.

Main Duties and Responsibilities

1. Take a leading role in the planning and conduct of assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.

2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.

3. Establish and maintain your research profile and reputation and that of The University of Glasgow/ School/ Research Group, including establishing and sustaining a track record of independent and joint publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.

4. Survey the research literature and environment, understand the research challenges associated with the project & subject area, & develop/implement a suitable research strategy.

5. Presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.

6. Take a leading role in the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.

7. Take a leading role in developing and maintaining collaborations with colleagues across the research group/School/College/University and wider community (e.g. Academic and Industrial Partners).

8. Take a leading role in team/group meetings/seminars/workshops and School research group activities to enhance the wider knowledge, outputs and culture of the School/College.

9. Take the lead in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.

10. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.

11. Make a leading contribution to Teaching activities (e.g. demonstrating etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator.

12. Keep up to date with current knowledge and recent advances in the field/discipline.

13. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory.

14. Undertake any other reasonable duties as required by the Head of School/Director of Research Institute.

15. Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan: World Changers Together.

Qualifications

Essential:

A1 An awarded PhD or equivalent in Computer Science / Statistics / Computational Biology or a related area (or having submitted a PhD thesis prior to taking up the appointment).

A2 Good understanding of the state-of-the-art in deep learning in computer vision or medical images or computational biology.

A3 Proficient of programming using Python, and deep learning frameworks such as TensorFlow, PyTorch.

Desirable:

B1 A comprehensive and up-to-date knowledge of current issues and future directions in the use of deep learning in digital pathology or multi-omics approaches.

Knowledge and Skills

Essential:

C1 Proven skills in a field relevant to at least one of the following: deep learning in computer vision, deep generative models, self-supervised models, genomics analysis, and medical image analysis including histopathology slides, MRI, and CT scans. C2 Research creativity and strong cross-discipline collaborative ability.

C3 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely

C4 Excellent interpersonal skills including team working and a collegiate approach C4 Appropriate workload/time/project/budget/people management skills C5 Extensive IT and data analysis/interpretation skills as appropriate C6 Self motivation, initiative and independent thought/working

C7 Problem solving skills including a flexible and pragmatic approach C8 Good Team Leadership skills including demonstrable supervisory skills

Experience

Essential:

E1 Sufficient relevant research experience

E2 Experience in a field relevant to at least one of the following: deep learning in computer vision, deep generative models, self-supervised models, genomics analysis, and medical image analysis including histopathology slides, MRI, and CT scans.

E3 Experience of programming in a scientific setting

E4 Proven ability to deliver quality outputs in a timely and efficient manner

E5 A track record of presentation and publication of research results in quality journals/conferences

Terms and Conditions

Salary will be Grade 7, £37,474 - £42,155 per annum.

As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity.

As a valued member of our team, you can expect:

1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.

2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https: // www. gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing https: // www. gla.ac.uk/myglasgow/staff/healthwellbeing/.

We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https: // www. gla.ac.uk/myglasgow/humanresources/equalitydiversity/.

We endorse the principles of Athena Swan https: // www. gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.

We are investing in our organisation, and we will invest in you too. Please visit our website https: // www. gla.ac.uk/explore/jobs/ for more information.

New entrants to the University will be required to serve a probationary period of 6 months.

The successful applicant will be eligible to join the Universities' Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits.

All research and related activities, including grants, donations, clinical trials, contract research, consultancy and commercialisation are required to be managed through the University's relevant processes (e.g. contractual and financial), in accordance with the University Court's policies.

It is the University of Glasgow's mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment.

We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality.

The University of Glasgow, charity number SC004401.

This post is full time with 3 years funding till 31.12.25

Informal enquiries and requests for further information can be made to Professor David Chang (David.Chang@glasgow.ac.uk) Dr. Ke Yuan (Ke.Yuan@glasgow.ac.uk).

Vacancy Ref : 094428 Close Date : 17-Oct-2022 23:45

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About the employer

The University of Glasgow was established in the year 1451 by papal bull. It is among the 4th ancient universities in Scotland and the fourth-oldest university in the USA. It was a part of the Scottish Enlightenment along with Edinburg,...