Head of QC & Analytics

Adaptyv seeks a Head of QC & Analytics in Lausanne to lead quality and data integrity for its automated lab foundry, blending protein biochemistry with engineering to automate systems.

This senior leadership position is responsible for ensuring the quality and data integrity of all outputs from the company's automated laboratory. The role combines deep protein biochemistry expertise with engineering skills to automate and enhance operational systems.

Responsibilities

• Manage complete quality control for all protein assays conducted on the platform.
• Set acceptance criteria, control standards, and quality metrics for every assay type.
• Create standard operating procedures and quality checkpoints that integrate into automated workcell workflows.
• Lead investigations into out-of-specification results, assay failures, and systematic deviations.
• Collaborate with assay development scientists to validate new methods before production.
• Work with the software team to specify, review, and improve automated data processing pipelines.
• Define what constitutes 'good data' for each assay type.
• Identify gaps in existing data review workflows and articulate precise requirements for improvements.
• Own the scientific logic behind QC rules, anomaly detection, and data acceptance criteria.
• Review pipeline outputs critically to catch false passes or unnecessary fails.
• Apply statistical reasoning to distinguish real assay drift or instrument variability from noise.
• Systematically identify manual bottlenecks in data review and QC sign-off and replace them with automated solutions.
• Collaborate with software and automation engineers to embed QC logic into workcell control software.
• Drive the selection and implementation of laboratory informatics tools.

Requirements

• B.Sc., M.Sc., or Ph.D. in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or a closely related field.
• 6+ years of experience in a protein science, analytical development, or QC role.
• Deep hands-on experience with protein binding assays, particularly BLI or SPR.
• Familiarity with developability and biophysical assays and their associated data quality challenges.
• Strong programming skills in Python and/or R for data processing, QC automation, and pipeline development.
• Proven experience managing large, multi-condition datasets.
• Track record of building or significantly improving QC frameworks, SOPs, and data review processes.

Nice to have

• Experience at a startup, CRO, or high-throughput foundry.
• Familiarity with instrument data formats and APIs from platforms such as Sartorius Octet, Cytiva Biacore, or equivalent biophysical instruments.
• Background in statistical process control or equivalent quality methodologies applied to analytical data.
• Exposure to AI/ML-driven protein design workflows and the data requirements of model training and benchmarking.
• Experience with laboratory informatics platforms (LIMS, ELN) and data pipeline tooling.

About the company

Adaptyv is building an automated lab that lets AI agents run biology experiments. The company is one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and techbio companies. The company is entering the era of agentic science where AI models can design novel proteins, propose hypotheses, and iterate on experimental results.

• The company is building an automated lab that lets AI agents run biology experiments.
• The company is one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and techbio companies.
• The company is entering the era of agentic science where AI models can design novel proteins, propose hypotheses, and iterate on experimental results.