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