Project Data Scientist

🔥 36 minutes ago

🇮🇪 Ireland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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Deciphex

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Deciphex is a leading company revolutionizing the field of pathology by digitally networking pathologists globally and leveraging artificial intelligence to enhance the efficiency and quality of pathology reporting. Pathology is crucial to both healthcare delivery and drug development, and Deciphex addresses the growing demand-supply gap in this field by using digital pathology for workload balancing and AI for accelerating processes. The company specializes in providing digital pathology platforms, like Diagnexia and Patholytix, that support both clinical and research pathology. Deciphex enables on-demand remote consultations with subspecialty pathologists, accelerating diagnostic turnaround times and enhancing patient care. Their platforms are trusted by leading CROs and pharmaceutical companies, making Deciphex a pivotal entity in digital pathology and AI-driven solutions.

📋 Description

• Support Deciphex’s technical and scientific delivery across BIGPICTURE and VICT3R • Curate, characterise, and analyse large preclinical and translational pathology datasets, including whole-slide images, structured study data, annotations, and metadata • Contribute to the VICT3R whole-slide imaging data model, metadata schemas, annotation standards, controlled terminology, and linkage to SEND domains • Characterise control datasets through descriptive and statistical analysis, including trend assessment and detection of confounders and batch effects • Support interoperability between Patholytix and BIGPICTURE infrastructure through data mappings, requirements, specifications, and gateway testing • Develop and maintain reproducible data-processing pipelines, quality-control routines, and validation workflows • Support evaluation of downstream pathology AI models through performance characterisation, failure analysis, and evidence packages • Support onboarding of non-clinical whole-slide images and metadata, including preparation, validation, transfer, and troubleshooting • Produce technical analyses, documentation, data deliverables, and progress reporting according to consortium milestones • Collaborate with pathologists, AI, software, product, and project teams to translate requirements into reliable datasets and analytical outputs • Apply data-quality, traceability, GDPR, and GLP-aligned handling practices

🎯 Requirements

• Advanced degree in data science, bioinformatics, computational biology, biomedical science, biostatistics, statistics, computer science, or a related quantitative field, or equivalent applied experience • Proficiency in statistical computing and data manipulation using one or more relevant languages and tools • Experience applying data science or machine learning to biomedical imaging, life-science, or other complex scientific datasets • Experience analysing and evaluating machine-learning model outputs, including performance characterisation, error analysis, and interpretation of results in a scientific or biomedical context • Experience curating, integrating, quality-controlling, and documenting datasets and associated structured metadata • Strong grounding in applied statistics, including exploratory analysis, experimental design, identification of confounders and batch effects, and selection of meaningful performance measures • Ability to translate scientific and project requirements into well-defined datasets, analytical workflows, quality-control checks, and clear evidence-based outputs • Experience developing reproducible analytical workflows using version control, testing, environment and configuration management, data provenance, and technical documentation • Excellent written and verbal communication in English • Ability to produce clear technical documentation and communicate data issues to specialist and non-specialist stakeholders • Ability to work effectively across multidisciplinary and multi-organisation teams while managing competing scientific and delivery priorities • Understanding of preclinical toxicology study design, treatment and control groups, endpoints, and histopathology workflows • Familiarity with non-clinical data standards and regulated research environments, including SEND/CDISC terminology, GLP principles, or regulatory-grade whole-slide image management • Familiarity with whole-slide imaging, digital pathology platforms, image formats, and image-data management • Prior experience contributing to EU-funded consortia or other multi-organisation scientific partnerships • Understanding of biomedical data governance, including data integrity, traceability, responsible data handling, and GDPR principles • Ability to read and interpret scientific publications, technical standards, data specifications, and relevant regulatory guidance • Eligibility to work in Ireland; the employer cannot offer Irish work permits or visa sponsorship

🏖️ Benefits

• Healthcare benefits • Competitive annual leave • Opportunity to contribute to better patient outcomes • Opportunity to work alongside a world-class high-performing team in a hyper-growth startup environment • Opportunity to work on exciting, challenging, and unique projects • Regular performance feedback • Significant career growth opportunities • Highly collaborative and supportive multicultural team