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    <title>Jobs at LSHTM | Epidemiology and Population Health</title>
    <link>https://jobs.lshtm.ac.uk/Vacancies.aspx?cat=200&amp;type=8</link>
    <description>Latest job vacancies at LSHTM</description>
    
        <item>
          <title><![CDATA[Research Fellow (EPH-EPED-2025-14-R)]]></title>
          <link>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPED-2025-14-R</link>
          <guid>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPED-2025-14-R</guid>
          <description><![CDATA[
            <p id="isPasted">The London School of Hygiene &amp; Tropical Medicine (LSHTM) is one of the world&rsquo;s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.</p><p>The Research Fellow will conduct statistical analyses on national and sub-national survey data collected through a new Gates Foundation-funded initiative at the Vaccine Confidence Project, focused on the Immunisation Metrics and Monitoring Systems (IMMS). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling vaccination barriers and facilitators, develop forecasts of vaccine coverage for existing and novel vaccines (e.g. HPV, RSV, malaria), and support the design and implementation of small area estimation and reweighting strategies in data-scarce settings.</p><p>The Research Fellow will work closely with a multidisciplinary team to inform global vaccine policy, contributing to peer-reviewed publications, public-facing data dashboards, and targeted policy briefs aimed at improving vaccine equity and access.</p><p>The successful candidate will have&nbsp;a postgraduate degree, ideally a doctoral degree, in a relevant topic, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data analysis experience and use of statistical methods. Further particulars are included in the job description.</p><p>The post is full-time 35 hours per week, 1 FTE and fixed term until 31 October 2027. The post is funded by the Gates Foundation and is available immediately. The salary will be on the LSHTM salary scale, Grade 6 in the range &pound;45,728 - &pound;51,872 per annum pro rata (inclusive of London Weighting).&nbsp;</p><p>The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary &ldquo;Wellbeing Days&rdquo;. Membership of the Pension Scheme is available. The post is based in London at LSHTM.</p><p>Applications should be made on-line via our <a href="https://jobs.lshtm.ac.uk/">jobs website</a>. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to <a href="mailto:jobs@lshtm.ac.uk">jobs@lshtm.ac.uk</a>. Please quote reference EPH-EPED-2025-14-R.</p><p>The supporting statement section should set out how your qualifications, experience and training meet <strong>each</strong> of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as &quot;Please see attached CV&quot; will not be considered acceptable.&nbsp;</p><p>Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.</p>
            <p>
              Closing Date: 08 Sep 2026<br />
            </p>
            <p>
              Department: Academic
            </p>
            <p>Salary: &#163;45,728 to &#163;51,872 per annum pro rata inclusive</p>
          ]]></description>
          <category><![CDATA[Academic]]></category>
          <pubDate>Wed, 26 Aug 2026 00:00:00 GMT</pubDate>
        </item>
      
        <item>
          <title><![CDATA[Research Assistant in Knowledge Management for Newborn Care Implementation (0.8-1 FTE) (EPH-EPIH-2026-12)]]></title>
          <link>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPIH-2026-12</link>
          <guid>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPIH-2026-12</guid>
          <description><![CDATA[
            <p id="isPasted">The London School of Hygiene &amp; Tropical Medicine (LSHTM) is one of the world&rsquo;s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.</p><p>Are you passionate about transforming evidence into action to improve newborn survival? The Newborn Health team at LSHTM is seeking a Research Assistant in Knowledge Management to support the Newborn Toolkit (<a href="https://www.newborntoolkit.org/" target="_blank">www.newborntoolkit.org</a>), a global public good co-created by NEST360 and UNICEF to support effective newborn care in low-resource settings and end preventable newborn deaths.&nbsp;</p><p>Working with an international network of partners, you will develop and curate technical content, synthesise implementation learning, support multilingual communities of practice, and deliver engaging digital resources and webinars.&nbsp;</p><p>The post-holder must have a degree in public health, nursing, medicine or a related field, with clinical or programme experience in maternal, newborn and child health. You will have excellent writing and communication skills, experience in knowledge dissemination and stakeholder engagement, and the ability to translate complex scientific information for diverse global audiences. French or Portuguese language skills and global newborn health experience are desirable. Please see the Job Description for further details. &nbsp;</p><p>The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 12 months. The post is funded by a consortium of private foundations including Gates Foundation and the ELMA Foundation and the prime grant holder is Rice360. The post is available immediately. &nbsp;</p><p>The salary will be on the LSHTM salary scale, Grade 5 in the range &pound;39,984 - &pound;45,728 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service.&nbsp; Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary &ldquo;Wellbeing Days&rdquo;. Membership of the Pension Scheme is available. The post is based in London at LSHTM.&nbsp;</p><p>Applications should be made on-line via our&nbsp;<a href="https://jobs.lshtm.ac.uk/" target="_blank">jobs website</a>. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to&nbsp;<a href="mailto:jobs@lshtm.ac.uk" target="_blank">jobs@lshtm.ac.uk</a>. Please quote reference EPH-EPIH-2026-12<strong>.</strong>&nbsp;</p><p>The supporting statement section should set out how your qualifications, experience and training meet <strong>each</strong> of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as &quot;Please see attached CV&quot; will not be considered acceptable.&nbsp;</p><p>Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.</p>
            <p>
              Closing Date: 08 Sep 2026<br />
            </p>
            <p>
              Department: Academic
            </p>
            <p>Salary: &#163;39,984 to &#163;45,728 per annum pro rata inclusive</p>
          ]]></description>
          <category><![CDATA[Academic]]></category>
          <pubDate>Tue, 25 Aug 2026 00:00:00 GMT</pubDate>
        </item>
      
        <item>
          <title><![CDATA[Research Fellow (0.6 FTE) (EPH-EPIH-2026-10)]]></title>
          <link>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPIH-2026-10</link>
          <guid>https://jobs.lshtm.ac.uk/rss/click.aspx?ref=EPH-EPIH-2026-10</guid>
          <description><![CDATA[
            <p id="isPasted">The London School of Hygiene &amp; Tropical Medicine (LSHTM) is one of the world&rsquo;s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.</p><p>The Baby Ubuntu team is seeking a Research Fellow with a clinical background to contribute across a portfolio of implementation research programmes that improve outcomes for newborns, children and families through health systems strengthening in the UK and diverse international settings, including low-income contexts. Working closely with the team, you will support the design, implementation and evaluation of family-centred interventions that improve equity, quality and continuity of care for children with disabilities and their caregivers. You will work with academic, clinical, policy and community partners, contribute to stakeholder and public involvement activities, disseminate research findings, and support the development of future funding applications.</p><p>Applicants should have a postgraduate qualification, ideally a doctorate, in a relevant discipline, with quantitative and qualitative research experience in newborn health and/or early childhood developmental disability. You will have experience contributing to publications, excellent communication and organisational skills, and the ability to work independently and collaboratively. Clinical experience, experience working with multidisciplinary partners and people with lived experience, and skills in quantitative data analysis are essential.</p><p>The post is part-time 21 hours per week, 0.6 FTE and fixed-term for 6 months, with possibility of extension subject to funding. The post is funded by the CRI Foundation and is available immediately.</p><p>The salary will be on the LSHTM salary scale, Grade 6 in the range &pound;45,728 - &pound;51,872 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. &nbsp;Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary &ldquo;Wellbeing Days&rdquo;. Membership of the Pension Scheme is available. The post is based in London at LSHTM.</p><p>Applications should be made on-line via our <a href="https://jobs.lshtm.ac.uk/">jobs website</a>. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to <a href="mailto:jobs@lshtm.ac.uk">jobs@lshtm.ac.uk</a>.&nbsp;</p><p>The supporting statement section should set out how your qualifications, experience and training meet <strong>each</strong> of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as &quot;Please see attached CV&quot; will not be considered acceptable.&nbsp;</p><p>Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.</p>
            <p>
              Closing Date: 02 Sep 2026<br />
            </p>
            <p>
              Department: Academic
            </p>
            <p>Salary: &#163;45,728 to &#163;51,872 per annum pro rata inclusive</p>
          ]]></description>
          <category><![CDATA[Academic]]></category>
          <pubDate>Wed, 19 Aug 2026 00:00:00 GMT</pubDate>
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