Application Scientist, Bioinformatics

Saphetor’s mission is to enable anyone to find, share and use the most comprehensive human genome data – and to collaborate to improve health and lives around the world. To do this we have built the VarSome suite of bioinformatic tools, the world’s leading resource for analysis and interpretation of human genome variant data, with more than 6 000 citations in scientific papers, and over 60 000 registered professional users. Our customers work around the globe across academic, clinical, and industry laboratories analysing NGS (Next Generation Sequencing) data for research and diagnostic purposes. Saphetor is a Swiss precision medicine company with offices in Lausanne (CH), Boston (USA), and Athens (GR) employing a diverse global workforce. We are looking for an Application Scientist in Bioinformatics to join our commercial organization. Standing at the intersection of bioinformatics and system operations, you will support our customers through their journey with VarSome, from pre-sales discussions and platform onboarding to post-sales support with cloud and on-premises deployments and finding new opportunities for further growth. You will play a key role in shaping and delivering solutions to our direct and indirect customers.

Responsibilities

Pre-sales Support: Act as the technical “closer” by delivering expert demonstrations that bridge clinical needs with VarSome Premium, Clinical, API; own the customer evaluation process, solve “pain points” around variant analysis, and advise on lab equipment/system integrations; Post-sales Support: Lead onboarding sessions for geneticists and bioinformaticians to ensure rapid “time to value”; act as the primary lead for on-premises and private cloud deployments, coordinating infrastructure specifications between clients and DevOps team; Workflow Optimization & Support: Fine-tune filtering strategies and automation to maximize platform “stickiness” while acting as a high-level bridge between customer support and stakeholders; Scientific Advocacy: Systematically gather power-user feedback to influence the product roadmap and cultivate strategic relationships for conference presentations and development of technical white papers; Cross-functional Collaboration: Partner with Product, Marketing, and Operations colleagues to ensure product-market fit and growth

Requirements

Master’s or PhD in Bioinformatics, Computational Biology, or a related field; Hands-on experience in bioinformatics, including NGS secondary and/or tertiary analysis workflows; A solid grasp of variant classification frameworks and a deep understanding of bioinformatics and IT workflows; The ability to simplify complex bioinformatics and technical infrastructure concepts for researchers, clinicians, and IT professionals; Proficiency in English; Scientific Rigor: A curious, detail-oriented professional who maintains high scientific standards while managing complex data analysis; Commercial Mindset: The ability to balance scientific accuracy with pragmatic sales decisions and translate features into customer benefits; Self-Organization: A structured thinker with strong prioritization and project management skills, comfortable in a fast-paced environment; Global Mobility: Available and willing to undertake international business travel to support our global customer base in the APAC region

Nice to have

Previous background in a bioinformatics software company or experience in DevOps/SysAdmin roles; Familiarity with working in regulated environments, such as IVDR, CLIA/CAP, or similar standards; Proven experience in multicultural environments and/or supporting international customers in a scale-up setting; Fluency in other languages (e.g. Mandarin, Japanese or Korean)

Benefits

A position in a fascinating healthcare growth domain, at the cutting edge of technology and research; A competitive compensation package tailored to your unique expertise and professional background; A remote work environment that promotes a healthy work-life balance; Endless learning opportunities, while transferring new technologies from academics to clinical practice all over the world