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Роль описана чётко: здесь сочетаются экспертиза в кинетике связывания, общение с клиентами и анализ данных в перспективной AI-биотех компании. Без зарплаты сложнее оценить условия, а быстрый темп стартапа и работа только на месте подойдут не всем.
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Зарплата не указанаТемп стартапаAI в биотехеПонятные задачиСовременные инструменты
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Текст:
Hirify AI/Оригинал
TL;DR
Binding Kinetics Scientist (SPR/BLI) (Biophysics/AI-driven biotech): Reviewing and interpreting high-throughput SPR, BLI, and other assay data for AI-driven wet-lab experimentation with an accent on curve judgment, fitting, customer communication, and experimental design. Focus on detecting artifacts, analyzing batch-level patterns with Python or R, deciding when to rerun experiments, and improving automated data-processing pipelines.
Location: Lausanne, Switzerland (on-site)
Company
hirify.global is building an automated laboratory that enables AI agents to run biology experiments, combining software, hardware, automated workflows, data-processing pipelines, and AI systems.
What you will do
Review and interpret binding data from SPR and BLI runs, deciding what should be delivered, flagged, or rerun.
Evaluate sensorgrams, fitting quality, kinetic models, mass transport, avidity, baseline drift, and other artifacts.
Review additional assay data, including thermostability, expression, developability, and enzyme activity results.
Explain results and uncertainty to customers, including deliverable walkthroughs and follow-up discussions with scientists and ML researchers.
Design reruns by selecting changes such as orientation, regeneration, concentration series, or switching between BLI and SPR.
Analyze hundreds of results at batch level, identify systematic patterns and outliers, and translate review findings into requirements for the software pipeline.
Requirements
MSc or PhD in biochemistry, biophysics, or a relevant field, plus at least 3 years of hands-on experience with binding kinetics.
Deep hands-on experience with SPR and BLI, including running, troubleshooting, and interpreting data from platforms such as Biacore, Carterra, Octet, or Gator.
Strong fitting judgment, including 1:1 versus bivalent models, steady-state applicability, and the effects of mass transport and avidity.
Strong data-analysis skills with Python or R, including extracting, fitting, plotting, and analyzing hundreds of database results.
Willingness to use AI tools such as Claude Code for analysis scripts, database queries, and dashboards.
Ability to work independently, prioritize work without a predefined queue, learn unfamiliar tools quickly, and operate at startup speed.
Ability to communicate with customer scientists, explain complex topics clearly to both biophysicists and ML researchers, and discuss uncertain results honestly.
Nice to have
Familiarity with other biophysical or functional assays, such as DSF, HPLC, or plate-based activity assays.
Culture & Benefits
On-site work in Lausanne, Switzerland.
Full-time position with an ASAP start date.
Experiments are delivered to paying customers on deadlines, with emphasis on timely, practical answers.
Work closely with production, QC, customer success, and software teams.
Applications are reviewed on a rolling basis.
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