Lecturer - Health and Social Care (Dissertation Supervision) – Zero Hours

QA Higher Education

Manchester

On-site

GBP 55,000 - 69,000

Part time

5 days ago
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Benefits offered by this job

Competitive hourly rate £44.61 per hr
Zero-hours opportunities
Professional development and CPD
Inclusive environment safeguarding

Job summary

QA Higher Education in Manchester is seeking experienced Lecturers to supervise dissertations for Level 7 students, guiding research development, methodology and academic writing. Some teaching may be required to align with programme needs.

Applicants should have epidemiological training and demonstrated ability in biostatistical software, data analysis, and data visualisation. A minimum of 10 hours per week during term time is expected.

Qualifications

  • Minimum of 2 years’ relevant experience supervising dissertations or research projects at Level 7.
  • Experience supporting students within a higher-education environment.
  • Strong knowledge of research methods relevant to Health & Social Care and/or Public Health.
  • Experience supporting students with academic research, analysis and written work.
  • Willingness to complete a Basic DBS check prior to starting.

Responsibilities

  • Provide academic supervision and guidance to students throughout the dissertation process.
  • Support students to develop appropriate research questions, methodologies and approaches to their dissertation.
  • Provide constructive and timely feedback on students’ research and academic progress.
  • Guide students in the analysis, interpretation and presentation of research findings.
  • Support students to develop their academic writing, critical thinking and independent research skills.
  • Monitor student progress and maintain appropriate supervision records.
  • Work collaboratively with academic colleagues to ensure dissertation supervision meets programme requirements and academic standards.
  • Undertake teaching and other academic duties where required to support programme delivery.
  • Use VLE and other digital platforms to support supervision and communicate effectively with students.

Skills

Dissertation supervision
Research methods
Data analysis
VLE usage

Education

Master’s degree (Public Health)
PhD (Public Health)
Teaching qualification or HEA Fellowship

Tools

SPSS
R
Stata
SAS
Python
SQL
GIS

Job description

Expected commitment: Typically a minimum of 10 hours per week during term time, subject to student supervision requirements

Vetting requirement: Basic DBS

About the Role

We’re looking for experienced Lecturers to provide high-quality dissertation supervision to our higher-education students. The role will focus primarily on supporting Level 7 students throughout the dissertation process, from research development and methodology through to analysis and academic writing. Some teaching may also be required depending on programme needs. Applicants should typically be available for a minimum of 10 hours per week during term time.

We are particularly keen to hear from candidates with epidemiological training and experience in the following areas:

  • High-level skills in relevant biostatistical software, such as SPSS, R, Stata, SAS or Python
  • Proficiency in cleaning and analysing large, complex epidemiological datasets
  • Strong data analysis and mapping expertise, including SQL, GIS mapping software and data visualisation tools
  • Experience in surveillance and outbreak response, with the ability to design, implement and interpret epidemiological studies, including case-control and cohort studies
  • Previous experience of supervising dissertations or research projects
  • Expertise in Public Health evidence synthesis and quantitative research methods

We would like to hear from you if any of the above describes your experience and expertise.

What You’ll Be Doing
  • Provide academic supervision and guidance to students throughout the dissertation process
  • Support students to develop appropriate research questions, methodologies and approaches to their dissertation
  • Provide constructive and timely feedback on students’ research and academic progress
  • Guide students in the analysis, interpretation and presentation of research findings
  • Support students to develop their academic writing, critical thinking and independent research skills
  • Monitor student progress and maintain appropriate supervision records
  • Work collaboratively with academic colleagues to ensure dissertation supervision meets programme requirements and academic standards
  • Undertake teaching and other academic duties where required to support programme delivery
  • Use VLE and other digital platforms to support supervision and communicate effectively with students
What You’ll Bring
  • A minimum of 2 years’ relevant experience supervising dissertations or research projects at Level 7
  • Experience supporting students within a higher-education environment
  • Strong knowledge of research methods relevant to Health & Social Care and/or Public Health
  • Experience supporting students with academic research, analysis and written work
  • Strong digital skills, including confidence using VLEs and online resources
  • A collaborative, student-centred approach and commitment to supporting students to achieve successful academic outcomes
Qualifications
  • Master’s degree (or equivalent) in Public Health or a relevant Data / Health & Social Care discipline
  • Minimum of 2 years’ relevant experience supervising dissertations or research projects at Level 7
  • Relevant experience within a higher-education environment
  • Willingness to complete a Basic DBS check prior to starting
  • PhD in Public Health or a relevant Data / Health & Social Care discipline
  • Teaching qualification or HEA Fellowship
Why Join QA Higher Education?
  • Be part of a dynamic academic community supporting a diverse higher-education student population
  • Flexible zero-hours opportunities with a primary focus on dissertation supervision
  • Competitive hourly rate of £44.61 per hour
  • Professional development and CPD support
  • Inclusive and diverse working environment committed to safeguarding and student success
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