Job description

We are looking to appoint an innovative, enthusiastic and committed individual to the role of Lecturer in Health Informatics to grow the department’s capacity in the area and deliver high-quality research and teaching.  

 

We expect the appointed individual to show exceptional promise, to develop rapidly and to have the potential to be a nationally leading figure in the field.

 

A key element of the role will be helping develop the education offering in the area of health informatics, within the School of Life Course and Population Sciences, as well as in collaboration with other relevant schools and departments at King’s.

 

The successful candidate will be working in the Biomedical Informatics group in the Department of Population Health Sciences, within the School of Life Course and Population Sciences and Faculty of Life Science and Medicine. They will be responsible to Dr Vasa Curcin, the head of the group.

 

The Biomedical Informatics Group is dedicated to developing informatics methodologies to enable research at scale from Real World Data sources and the broader principle of Learning Health Systems, and holds funding from EPSRC, MRC, NIHR, and CRUK. The work in group is focusing on computational phenotyping, reproducibility solutions based on data provenance, and decision support systems as means of implementing LHS in practice. An emerging stream is the use of social network data as another RWD source for research. The group is actively participating in Health Data Research UK (HDR UK) London site activities and is integrated into the work of NIHR Guy’s and St. Thomas’s Biomedical Research Centre through its Cluster 3: Data Analytics.

 

The research focus for the lecturer role is expected to be complementary to the research strategy of the group and align with the priorities in the School.  The lecturer will establish and develop collaborative research programmes in the field of health informatics, drawing on King’s, HDR UK and other communities. The postholder will be supported to attract further funding from Research Council and charity sources to support their own work and build their own scientific research team. 

 

The particular area of research interest will be developed by the Lecturer but may include the development of novel computational methods to extract and analyse information from EHR (clinical data, omics, imaging, wearables and sensors) and translate them into clinically actionable insights used to understand, diagnose, prevent and treat disease.  

 

 

This post will be offered on an indefinite contract. 

This is a full-time  post - 100% full time equivalent

 

Key responsibilities

•        Leading the Introduction to Health Informatics module  

•        Taking an active role in further developing the King’s educational portfolio in the area of health informatics 

•        Establishing new and furthering existing national and international collaborations across academia, health service and industry

•        Publish regularly in peer-reviewed journals

•        Develop and disseminate tools and research software

•        Evaluate markers of impact of research; for example, on patient outcomes, clinical policies

•        Contribute to recruitment, secure placements, facilitate outreach, generate income, or build relationships for future activities (including with academic,  NHS, and clinical partners)

•        Identify sources of funding and contribute to the process of securing funds

•        Disseminate research findings through appropriate media

•        Make presentations at peer-reviewed and other conferences or exhibit work in other appropriate events

•        Supervise PhD students

•        Continually update knowledge and understanding in one’s field or specialism

•        Contribute to the development and delivery of courses, teaching and learning support techniques and materials

•        Link research with teaching

•        Supervise students, identify their learning needs and define appropriate learning objectives Advise on study skills and help students with problems

•        Contribute to the setting, marking and assessment of assignments and examination questions, provide constructive feedback to students, and supervise student research projects

•        Act as a personal tutor for students

•        Periodically reflect on teaching design and delivery and obtain feedback as self-assessment of performance

•        Tackle issues affecting the quality of delivery within the scope of own level of responsibility, referring matters to others, as appropriate

•        Contribute to administrative duties in areas such as admissions, examinations, and assessment of progress.

•        Understand equal opportunity issues as they may impact on academic content and issues relating to student needs

•        Maintain continuing professional development

•        Participate in Athena SWAN activities including career development activities

•        Carry out any other duties commensurate with the grade and purpose of the post.

 
 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  

Skills, knowledge, and experience 

Essential criteria  

1.      PhD or equivalent qualification in a computational discipline  

2.      Experience in health software and/or data 

3.      Proven track record of teaching excellence 

4.      Skills in knowledge representation, phenomics and decision support systems 

5.      Track record of national and international collaborations 

6.      Ability to work with industry and attract funding 

7.      Ability to work independently and deliver high-quality, consistent results in a timely fashion. 

8.      Excellent written and verbal communication skills  

9.      Motivated, creative and able to act on own initiative independently, as well as part of a larger multi-disciplinary team 

10.  Committed to equality, diversity and inclusion, actively addressing areas of potential bias. 

 

Desirable criteria

11.   Excellent record keeping and commitment to research integrity 

12.   Collegial and keen to learn 

13.  Experience in leading on large collaborative scientific papers 

 

Candidates are strongly encouraged to specifically address the essential criteria outlined in the Person Specification in their covering letter. 

Further information

The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, diabetes, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF 2014 was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across six Departments. 

More information: https://www.kcl.ac.uk/slcps 

 

Please note that you must provide three Academic referees upon application, including one from your current or most recent employer. Should you be shortlisted, letters of recommendation will be sought ahead of the interview from two of your references. The third reference, from your employer, will only be requested with your consent.