Adaptyv
Default Job Template(m/w/x)
Full-timeOn-siteExperienced
Lausanne
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ADAdaptyv
Head of QC & Analytics(m/w/x)
Lausanne
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Defining quality standards for protein assays and building scalable data integrity systems. 6+ years in protein science with BLI/SPR hands-on experience required. Automated lab environment, Python/R programming.
Requirements
- B.Sc., M.Sc., or Ph.D. in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or related field
- 6+ years in protein science, analytical development, or QC role
- Deep hands-on experience with protein binding assays, BLI or SPR
- Familiarity with developability and biophysical assays
- Strong programming skills in Python and/or R
- Proven experience managing large, multi-condition datasets
- Track record of building or improving QC frameworks, SOPs, and data review processes
- Experience at startup, CRO, or high-throughput foundry
- Familiarity with instrument data formats and APIs (Sartorius Octet, Cytiva Biacore)
- Background in statistical process control or equivalent quality methodologies
- Exposure to AI/ML-driven protein design workflows
- Experience with laboratory informatics platforms (LIMS, ELN)
Tasks
- Define quality standards for data integrity
- Build systems ensuring data quality at scale
- Ensure full confidence in data points delivered
- Own end-to-end quality control for protein assays
- Define acceptance criteria and QC metrics
- Systematically enforce quality standards in production
- Establish SOPs and quality checkpoints
- Lead investigations of out-of-specification results
- Resolve assay failures and systematic deviations
- Validate new methods before production
- Work with software team on data processing pipelines
- Define good data parameters for each assay
- Identify gaps in data review workflows
- Articulate requirements for workflow improvements
- Own scientific logic behind QC rules
- Review pipeline outputs critically
- Provide actionable engineering requirements
- Apply statistical reasoning to assay drift
- Communicate findings to software team
- Identify manual bottlenecks in data review
- Replace manual processes with automation
- Collaborate on embedding QC logic in software
- Drive selection of laboratory informatics tools
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Sartorius Octet
- Cytiva Biacore
- LIMS
- ELN
- BLI
- SPR
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Adaptyv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ADAdaptyv
Head of QC & Analytics(m/w/x)
Lausanne
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Defining quality standards for protein assays and building scalable data integrity systems. 6+ years in protein science with BLI/SPR hands-on experience required. Automated lab environment, Python/R programming.
Requirements
- B.Sc., M.Sc., or Ph.D. in Biochemistry, Analytical Chemistry, Biophysics, Bioengineering, or related field
- 6+ years in protein science, analytical development, or QC role
- Deep hands-on experience with protein binding assays, BLI or SPR
- Familiarity with developability and biophysical assays
- Strong programming skills in Python and/or R
- Proven experience managing large, multi-condition datasets
- Track record of building or improving QC frameworks, SOPs, and data review processes
- Experience at startup, CRO, or high-throughput foundry
- Familiarity with instrument data formats and APIs (Sartorius Octet, Cytiva Biacore)
- Background in statistical process control or equivalent quality methodologies
- Exposure to AI/ML-driven protein design workflows
- Experience with laboratory informatics platforms (LIMS, ELN)
Tasks
- Define quality standards for data integrity
- Build systems ensuring data quality at scale
- Ensure full confidence in data points delivered
- Own end-to-end quality control for protein assays
- Define acceptance criteria and QC metrics
- Systematically enforce quality standards in production
- Establish SOPs and quality checkpoints
- Lead investigations of out-of-specification results
- Resolve assay failures and systematic deviations
- Validate new methods before production
- Work with software team on data processing pipelines
- Define good data parameters for each assay
- Identify gaps in data review workflows
- Articulate requirements for workflow improvements
- Own scientific logic behind QC rules
- Review pipeline outputs critically
- Provide actionable engineering requirements
- Apply statistical reasoning to assay drift
- Communicate findings to software team
- Identify manual bottlenecks in data review
- Replace manual processes with automation
- Collaborate on embedding QC logic in software
- Drive selection of laboratory informatics tools
Work Experience
- 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- Sartorius Octet
- Cytiva Biacore
- LIMS
- ELN
- BLI
- SPR
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Adaptyv and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Adaptyv
Industry
Science
Description
The company builds advanced molecular biology workflows, assay automation, and software infrastructure for protein design.
Not a perfect match?
- Adaptyv
Default Job Template(m/w/x)
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