Context
Providing the best medical care possible in its intervention contexts is a core responsibility for MSF. Despite continuous efforts, ensuring MSF health workers with uneven clinical background provide care that puts the patient at the centre and ensures patient safety is a real challenge, especially in remote and scattered small health facilities where delivering sufficient clinical training and supervision is difficult.
Since 2015, using digital technologies, MSF developed and deployed MSFeCARE-Paediatrics, an electronic Decision Support System (eDSS) for paediatric primary care that guides health workers through up-to-date evidence-based protocols designed by experts, and allow them to improve their clinical assessment, diagnosis skills, and rational antibiotic prescriptions. Deployed in 7 projects, in 6 different countries, MSFeCARE-Ped was used in more than 280’000 consultations since 2017.
Initial results of MSFeCARE-Ped in the field show that eDSS bring new opportunities to support quality of care improvement through provision of i) evidence-based medical knowledge to frontline health workers, ii) attractive learning opportunities for health workers, and iii) real time data collection for use of monitoring, supervision and feedback directly to the health facility for self-improvement.
To build on these positive results, MSF has launched a 3-year program aiming at building internal capacity to design and successfully roll out eDSS-based interventions to improve quality a) at a larger scale for paediatric primary care, b) in different contexts, c) for different health care levels, and d) in different medico-operational domains.
At MSF, we are committed to an inclusive culture that encourages and supports the diverse voices of our staff members. We strive to create workplaces where teams of people with di-verse backgrounds, characteristics, perspectives, ideas and experiences work together for the social mission of MSF to create better outcomes for our patients and the communities we work with.
We welcome applications from individuals of all genders, ages, sexual orientations, nationalities, races, background, religions, beliefs, ability status, and all other diversity characteristics.
MSF does not tolerate sexual exploitation and abuse, any kind of discrimination or harassment, including sexual harassment. All selected candidates will, therefore, undergo reference checks.”
Mission
In close collaboration with the MSFeCARE Project team, the Medical Referent will be in charge of the formal scientific process to support iterative review and improvement of the clinical content of MSFeCARE clinical algorithms. This will include evidence watch, review of implementation data and users’ feedback, and coordination of an expert consensus process. The Medical Referent will also lead the development of new clinical components as per project’s validated scope extensions.
Your responsibility
Clinical content
· To set up, implement and use a scientific formal process for the clinical update and evolution of MSFeCARE clinical algorithms
· To manage and lead the content development, review, extensions, and update
· To coordinate expert consensus (Delphi) process with MSF and external experts for content validation
· To identify and document evidence gaps and formulate research questions to address them
· To collaborate with the development of the data management strategy
· To support in the clinical revision and/or creation on new clinical algorithm
Communication/Dissemination
· To lead the peer-reviewed paper publication on clinical content development and validation method
· To develop capitalization reports and communication tools on clinical content, and new versions release
Support to field implementation
· To collaborate with the implementation team to develop & review training strategy, material
· To support field teams and flying implementers in collaboration with the implementation team (M&E framework, Digital Training, etc.)
Your Profile
Experience
· Field experience with MSF (preferably) or another humanitarian medical organisation
· Experience with medical evidence synthesis and expert consensus processes (Delphi) is an asset
· Digital health experience for low- and middle-income countries is an asset
Education
· Medical Doctor degree
· Specialisation in Paediatrics or at least 2 years clinical hospital paediatric experience is an asset
· Public / International / Epidemiological health degree is an asset
· Digital health degree is an asset
Skills & Technical competencies
· Ability to analyse medical and structural issues
· Excellent overall understanding of Evidence-Based Medicine concepts
· Excellent writing and communication skills
· Ability to conduct relevant data analysis
Language
· Fluent in both English and French
Personal qualities
· Outstanding analysis and synthesis skills
· Flexibility, autonomy and good organisational skills
· Results, innovation and quality oriented
· Problem solving and service oriented
· Strong interpersonal skills, team spirit, networking and communication skills
Terms of Employment
· Fixed-term contract, 1 year, 100%
· Working place : Geneva
· Ideal Starting date: Immediately
· Gross monthly salary: from CHF 7’548.- to CHF 8’661.- (salary commensurate with equivalent experience and internal salary grid)
How to apply
Only applications submitted on the recruitment platform will be considered. Applications must contain: CV 2 p. max. – letter of motivation 1p. max. – in English.
Closing date for application is 12.12.2021
The applications will be treated confidentially.
Only short-listed candidates will be contacted**.**
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