Data Scientist with experience in LIMS and Benchling

We are seeking a skilled and motivated Data Scientist with experience in LIMS and Benchling to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will be focused on accelerating the digitalization of biological data and enabling data-driven scientific innovation. The position will support the development of standardized in vitro/in vivo study workflows and the creation of scalable computational pipelines for multimodal data ingestion and harmonization across the research ecosystem. 

Location: EU, UK, Armenia, Kazakhstan, Georgia

Responsibilities:

• Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample-tracking structures, and standardized data schemas. 
• Create and maintain harmonized data storage solutions that ensure consistency across assay types and alignment with internal data standards. 
• Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high-quality, analysis-ready datasets. 
• Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed. 
• Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders. 

What we expect:

• MS or BS in Biology, Computational Biology, Data Science, or a related field. 
• 0-2 years (MS) or 2-3 years (BS) post-graduate working experience in biotech/pharma industry. 
• Familiarity with biological assay data (cell-based assays, plate-based readouts, etc.). 
• Hands-on experience with Benchling, including workflow design, build or assay configuration. 
• Experience with LIMS
• Strong experience developing data pipelines using R or Python 
• English level B2+ or higher  

We Offer:

• Competitive compensation 
• Remote or office work 
• Flexible working hours 
• Healthcare benefits: medical insurance and paid sick leave 
• Continuous education, mentoring, and professional development programs 
• A team with an excellent tech expertise 
• Certifications paid by the company