Head of QC & Analytics

The Biopôle; Schweiz; Vor Ort; CHF 100.000 - 130.000; Vollzeit

Zusammenfassung

A leading biotechnology company in Switzerland is seeking a Head of QC & Analytics to ensure quality control and data integrity for protein assays. This role entails defining QC systems, enhancing data workflows, and collaborating with software teams to automate high-throughput processes. Candidates should have a degree in a relevant field and 6+ years of experience in analytical development or quality control, with strong programming skills in Python or R.

Qualifikationen

• 6+ years of experience in protein science, analytical development, or QC.
• Strong programming skills in Python and/or R.
• Experience with data interpretation in analytical development.

Aufgaben

• Own quality control and data integrity across protein assays.
• Define QC systems and improve data workflows.
• Collaborate with software teams and automate processes for high-throughput experimentation.

Kenntnisse

Experience with BLI/SPR assays

Programming skills in Python

Programming skills in R

Ausbildung

Degree in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or related field

Jobbeschreibung

Adaptyv is building an automated lab that enables AI agents to run biology experiments. Its platform combines a deep software + hardware stack, API‑controllable lab instruments, and AI systems to accelerate assay development and support over 50 companies, from biopharmas to techbio startups.

About the role

The Head of QC & Analytics will own quality control and data integrity across protein assays, ensuring robust analytical readouts and reliable data pipelines at scale. This hands‑on leadership role involves defining QC systems, improving data workflows, collaborating with software teams, and automating processes for high‑throughput experimentation.

Key requirements

• Degree in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or related field
• 6+ years in protein science, analytical development, or QC
• Experience with BLI/SPR assays and data interpretation
• Strong programming skills in Python and/or R