Biophysics Scientist (Biotech)

TL;DR

Biophysics Scientist (Biotech): Reviewing and interpreting high-throughput binding kinetics data from automated lab systems with an accent on SPR/BLI assay quality control and customer-facing scientific communication. Focus on building data analysis pipelines, troubleshooting experimental artifacts, and bridging the gap between AI-driven protein design and physical wet-lab results.

Location: Preference for Lausanne, Switzerland; remote or hybrid options available for the right candidate.

Company

hirify.global is a fast-growing biotech company building an automated lab infrastructure that enables AI agents to execute and iterate on complex biological experiments.

What you will do

• Review and validate high-throughput binding data from SPR and BLI runs to ensure accuracy and reliability.
• Judge curve quality, identify artifacts, and determine whether samples require re-running.
• Communicate complex experimental results and data interpretations directly to customers, including biophysicists and ML researchers.
• Develop and maintain scripts in Python or R to automate data analysis and identify systematic patterns across large batches.
• Collaborate with software teams to translate manual review insights into concrete requirements for pipeline improvements.
• Analyze data from additional assays including thermostability, expression, and enzyme activity.

Requirements

• MSc or PhD in biochemistry, biophysics, or a related field.
• 3+ years of hands-on experience with binding kinetics.
• Deep expertise in SPR and BLI platforms such as Biacore, Carterra, Octet, or Gator.
• Strong data analysis skills using Python or R to process and visualize large datasets.
• Ability to work independently in a fast-paced startup environment with shifting priorities.
• Comfortable explaining complex scientific concepts to diverse audiences and managing customer expectations.

Nice to have

• Familiarity with other biophysical or functional assays like DSF, HPLC, or plate-based activity assays.
• Experience using AI-assisted coding tools to accelerate data analysis and database querying.

Culture & Benefits

• Opportunity to work with a massive volume of binding data across diverse AI-designed proteins.
• Fast-paced, deadline-driven environment focused on shipping results to biopharma and AI lab partners.
• Collaborative culture working at the intersection of hardware, software, and wet-lab biology.
• High-impact role influencing the development of automated lab infrastructure.