Seeking a Molecular Biology Engineer to help develop recombinant mammalian cell lines, focusing on expression and characterization of proteins in a cross-functional environment.
Compensation
Switzerland - Plan-les-Ouates - STELLAR – Route de la Galaise 36
Responsibilities
Project analysis and documentation
Design and ordering of optimized nucleotide transgene sequences
Preparation of expression vectors
Quality control analyses: PCR amplification, amplicon sequencing (Sanger and NGS)
Mycoplasma testing
Requirements
First professional experience
Nice to have: NGS data analysis
Nice to have: Programming for automation bioinformatics tools
Assist in mammalian cell line development and protein production, generating and characterizing cell lines for internal research and customer programs.
Responsibilities
Own and drive workflows using mammalian cell culture, primarily working with suspension HEK and suspension CHO
Generate stable cell lines via transfection (ie electroporation) and selection and serve as the primary technical owner of many genetically distinct cell lines
Handle protein production workflows at different scales - deep well plates and shake flasks, potentially including small scale bioreactors such as the Ambr system
Execute downstream readouts such as cell counting, metabolite measurements, Octet BLI, flow cytometry
Perform single cell isolation using methods such as FACS, cell deposition, or Beacon
Requirements
Bachelor's degree in Biology, Bioengineering, Biotechnology, or a related field
The Senior Research Associate supports and executes nonclinical bioanalytical activities to generate high-quality, reliable data in GLP and non-GLP environments. This role encompasses sample processing, assay execution, data analysis, documentation, and training of other analysts in support of nonclinical research and development programs.
Responsibilities
Nonclinical bioanalytical activities in GLP and non-GLP environment
Extract protein, DNA, and/or RNA from necropsied animal tissue
Run ddPCR, qPCR, ELISA, MSD, Western blot, and related analyses on tissue extracts
Perform nonclinical sample analysis
Support efforts toward automated liquid handling and data analysis
The Vice President, Gene Editing Core leads a highly cross-functional team applying state-of-the-art genomic and molecular biology tools to advance genome editing therapies. This role oversees the planning, execution, and delivery of projects to support early research and development studies.
Compensation
The base salary for this position is expected to range between $327,100.00 - $399,900.00 USD per year.
Responsibilities
Creates and leads vision of genomics innovation to support research in developing gene-editing therapies
Collaborates across Platform Innovation and Delivery Innovation to advance novel nucleases, insertion strategies, new technologies, and delivery advancements
Supports Screening efforts generating data in support of advancing the pipeline programs and platform improvements including guide RNA, messenger RNA, and delivery optimization
Oversees NGS production efforts, running AMP-seq, off-target discovery, off-target confirmation, and structural variant analysis
Partners with computational biology, software engineering, and automation on data analysis, data capture, and workflow optimization
Drive day-to-day execution for Verily's flagship population health intelligence platform, focusing on commercializing predictive analytics and accelerating transition into a high-margin data insights business.
Compensation
$140,500 - $210,500 + bonus + equity + benefits
Responsibilities
Drive Commercial Product Strategy: Translate complex pharma and biosecurity workflows into clear product requirements and user stories for high-value predictive analytics, forecasting, and variant horizon-scanning tools.
Scale Molecular Diagnostic Pipelines: Serve as the core translation layer for engineering and computational biology teams to scale routine digital PCR (ddPCR), amplicon sequencing, and next-generation metagenomic sequencing (mNGS) workflows.
Champion Technical Agile Execution: Run daily Scrum ceremonies and own JIRA/Confluence roadmapping from design to production-grade deployment for dedicated software and computational biology squads.
Facilitate Ecosystem Integration: Coordinate data integration frameworks across broader public health endpoints and centralized data marketplaces to achieve continuous product parity.
Manage Data Governance & IP: Collaborate with clinical, legal, and academic stakeholders to safely navigate complex technical sample transfer protocols, intellectual property, and data licensing guidelines.