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Роль четко определена и дает возможность самостоятельно развивать платформы в быстрорастущей сфере AI-биотеха, но зарплата не указана, а от вас ждут высокой самостоятельности и быстрого темпа.
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Зарплата не указанаТемп стартапаЧеткая зона ответственностиСовременные методыAI-биотех
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Display Platform Scientist (Molecular Biology/Protein Engineering): Building high-diversity libraries and running display-based selection campaigns for AI-driven protein experimentation with an accent on library construction, platform choice, sequencing analysis, and experimental validation. Focus on establishing display systems hands-on, diagnosing selection failures, analyzing NGS data, and converting successful protocols into automated workflows.
Location: Lausanne, Switzerland (on-site)
Company
hirify.global is building an automated laboratory that enables AI agents to design and run biology experiments, combining software, hardware, automation, data pipelines, and AI systems for biotech and biopharma research.
What you will do
Build high-diversity libraries using oligo pools, combinatorial assembly, and barcoding.
Run display-based selections end to end and determine whether enrichment reflects real binders or fast-growing artifacts.
Select and establish the appropriate platform for each campaign, including phage, ribosome, mRNA, yeast, or cell-free display.
Analyze sequencing data independently using NGS and sufficient Python or R.
Transfer robust protocols to the automation team so they can be run without manual intervention.
Close the experimental loop through expression and BLI or SPR measurements performed with the adjacent team.
Requirements
MSc or PhD in molecular biology, protein engineering, or a relevant field, plus 3+ years of hands-on experience running display and selection.
Experience setting up a display platform rather than only using one, including building the library, establishing selection, and producing binders validated in an independent assay. Managing outsourced CRO campaigns does not meet this requirement.
Depth in at least one display format and working literacy across other display formats.
Experience with high-diversity cloning and understanding of where bias enters a pool and its downstream effects.
Routine use of NGS and experience with FACS if applicable.
Enough Python or R to analyze personal experimental data independently.
Serious use of AI tools, including the judgment to verify their output.
Ability to prioritize work independently, decide what to build, execute it, and communicate findings.
Ability to work at startup speed against customer deadlines and a preference for protocols that can be automated rather than kept manual.
Culture & Benefits
Full-time, on-site work in Lausanne, Switzerland.
Start date: ASAP.
Work in a rapidly growing biotech company serving biopharmas, frontier AI labs, and techbio companies.
Build-oriented environment focused on generating data, establishing practical platforms, and automating successful protocols.
Applications are reviewed on a rolling basis.
Hiring process
Applications are reviewed on a rolling basis.
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