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Full-time
postgraduate degree
Hybrid working model
Posted 9d ago
~40 hrs/week
Responsibilities
The scientist will develop and deploy predictive AI models to support drug discovery projects and malaria-related initiatives. They will also contribute to due diligence for AI partnerships and communicate research findings to stakeholders.
Requirements
Candidates must hold a PhD in Computational Chemistry, Computer Science, Bioinformatics, or a related field. Proficiency in AI/ML methods, Python, and relevant software frameworks is required, along with strong communication skills.
Full job description
Medicines for Malaria Venture (MMV) is the world’s leading product development partnership (PDP) dedicated to discovering, developing, and delivering affordable and effective antimalarial drugs.
MMV collaborates with government agencies, private and public sector partners, and clinical centers in malaria-endemic regions to bring lifesaving solutions to the people most affected by malaria. Our work is made possible through funding from various sources, including government agencies, foundations, corporations, and individuals.
We are seeking a motivated PhD graduate for a 3-year post-doctoral fellowship opportunity to expand their scientific knowledge and skills. Working with MMV’s Director of Drug Discovery and an AI/ML expert consultant, the successful candidate will have the opportunity to work within a framework of existing and new Artificial Intelligence (AI) partnerships, discovery due diligence activities, and MMV portfolio embedded AI support areas. The graduate will more specifically support dd4gh or Africa‑based initiatives and extension of AI modelling into areas such as hit finding, in vivo modelling and toxicology.
The Scientist will work in an unique research and development environment of a private-public partnership organization ultimately contributing to the global effort to eradicate malaria and advance healthcare solutions worldwide. Following this experience, the fellow will be well-equipped to accept opportunities in academia, industry, or other R&D product development partnership organizations.
Primary Duties and Responsibilities
The primary responsibilities and deliverables associated with this position include:
Support dd4gh or Africa‑based initiatives and extension of AI modelling into novel areas for MMV
Generate then deploy and support new predictive drug discovery models for application in MMV drug discovery projects
Clearly communicate results to internal stakeholders and external partners through project reports, presentations and peer reviewed research publications
Contribute to due diligence activities to select new AI partners
Gain experience in drug discovery
Qualifications and Skills
Education and experience
Ph.D. or equivalent degree in Computational Chemistry, Computer Science, Bioinformatics, or a related field.
Demonstrated scientific excellence as measured by publications and presentations
Familiarity with drug discovery and the clinical development process is an asset
Experience working in a cross-functional matrix setting is also an asset
Technical Skills
Expertise in data analysis, developing or implementing advanced state of the art drug discovery AI/ML methods.
Fluency in English (oral and written)
Familiar with general AI/ML software, such as python and AI frameworks such as pytorch, Datawarrior, stardrop or equivalent
Behavioural Skills
Analytical skills
Collaboration and teamwork skills
Excellent oral and written communication skills
Location: Geneva, Switzerland
Starting date: Sept 2026 or according to availability
Interested applicants should send their CV and a motivation letter explaining their interest in the position
MMV is committed to building a talented and diverse workforce, selecting candidates based on their skills, abilities, and experience. We foster an inclusive workplace, free from discrimination on the basis of race, color, religion, political beliefs, age, nationality, disability, gender, or sexual orientation.
Our hybrid working model encourages in-office collaboration. For candidates residing in Switzerland, we expect a minimum of two days per week in the office; for cross-border candidates residing in France, at least three days per week.
For more information about MMV’s activities please refer to our website www.mmv.org.
Non-mandated recruitment agencies are kindly requested to refrain from submitting applications.
MMV is a leading product development partnership (PDP) in the field of antimalarial drug research and development.
Our vision is a world in which innovative medicines will cure and protect the vulnerable and under-served populations at risk of malaria, and ultimately help to eradicate this terrible disease.
Our success in research and access & product management comes from our extensive partnership network of over 375 pharmaceutical, academic and endemic-country partners in 50 countries.
www.mmv.org
www.facebook.com/medicinesformalaria
www.twitter.com/medsformalaria
www.youtube.com/user/MMVmeds4malaria
http://plus.google.com/+mmvorgmedsformalaria
Offices: Route de Pré-Bois 20, Geneva, GE 1215, CH
Research and DevelopmentProduct Development Partnership (PDP)Medicinesand MalariaNon Profit
How many Healthcare jobs are open in Geneva, Switzerland right now?
There are currently 109 open healthcare positions in Geneva, Switzerland listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in Geneva, Switzerland?
Companies currently hiring include HUG - Hopitaux Universitaires de Genève, IMAD - institution genevoise de maintien à domicile, Fondation Officielle de la Jeunesse, Anteris Technologies, Clair Bois, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in Geneva, Switzerland?
Yes — 12 of the 109 open healthcare positions offer remote or hybrid work (7 remote, 5 hybrid).
How do I apply for Healthcare jobs in Geneva, Switzerland?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.