远程工作雷达

AI数据科学家

AI Data Scientist

AI限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Deciphex
薪资未公开
工作地点Ireland
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Ireland 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠约 2 小时,需偶尔早起或晚睡。

地点
在家办公,爱尔兰
工作资格
很抱歉,我们无法提供爱尔兰的工作许可或签证担保。
职位简介
在Deciphex的Research Pathology部门担任高级AI数据科学家,您将领导支持AI在毒理病理学和转化研究中开发与验证的高级数据科学研究。您将在组织病理学、计算病理学和机器学习的交叉领域工作,将复杂的科学问题转化为严谨的数据集、实验、基准框架和合格的分析证据。
与病理学家、AI研究人员、软件工程师和产品团队紧密合作,您将确保模型开发基于真实的组织形态、诊断推理和未满足的研究需求。您还将支持转化研究活动,包括生物标志物发现、免疫组化定量和基于组织的终点特征分析,并帮助将探索性研究转化为可重复的方法、科学论文、证据包和未来的产品功能。
您将在病理学基础模型研究中发挥主导作用,设计训练实验,开发与实践相关的基准,并将探索性研究转化为可重复的方法和下游病理学应用。
主要职责

  • 整理、表征和分析大型非临床和转化病理学数据集,包括全切片图像、结构化研究数据、注释和相关元数据
  • 领导在毒理病理学和转化研究应用中的高级数据科学和机器学习研究的设计与执行
  • 设计并开展病理学基础模型训练实验,包括数据整理研究、训练方案消融、微调以及对下游病理学应用中学习表示的评估
  • 通过性能表征、混杂因素分析和适合监管审查的证据包来验证下游病理学AI模型
  • 构建基准数据集和与实践相关的评估任务,用于基础模型和下游模型,包括在没有公开标准的情况下基于全切片病理学使用的非临床基准
  • 开发并标准化数据处理流程和验证程序,以支持模型开发、基准测试和部署
  • 支持转化研究应用,包括生物标志物发现、IHC定量和组织基线终点特征分析
查看英文原文

Location
Work from home in Ireland.
Eligibility to work
Unfortunately we cannot offer Irish work permits or Visa sponsorship.
About this Role
As a Senior AI Data Scientist in Research Pathology at Deciphex, you will lead advanced data-science research supporting the development and validation of AI for toxicologic pathology and translational research. Working at the interface of histopathology, computational pathology, and machine learning, you will translate complex scientific questions into rigorous datasets, experiments, benchmarking frameworks, and qualified analytical evidence.
Working closely with pathologists, AI researchers, software engineers, and product teams, you will ensure that model development is grounded in real tissue morphology, diagnostic reasoning, and unmet research needs. You will also support translational research activities, including biomarker discovery, IHC quantification, and tissue-based endpoint characterisation, and help convert exploratory research into reproducible methods, scientific publications, evidence packages, and future product capabilities.
You will play a leading role in pathology foundation-model research, designing training experiments, developing practice-relevant benchmarks, and translating exploratory research into reproducible methods and downstream pathology applications.
Key Responsibilities

  • Curate, characterise, and analyse large preclinical and translational pathology datasets, including whole-slide images, structured study data, annotations, and associated metadata
  • Lead the design and execution of advanced data-science and machine-learning research across toxicologic pathology and translational research applications
  • Design and conduct pathology foundation-model training experiments, including data-curation studies, training-recipe ablations, fine-tuning, and evaluation of learned representations for downstream pathology applications
  • Validate downstream pathology AI models through performance characterisation, confounder analysis, and evidence packages suitable for regulatory scrutiny
  • Build benchmarking datasets and practice-relevant evaluation tasks for foundation and downstream models, including non-clinical benchmarks grounded in whole-slide pathology use where no public standard exists
  • Develop and standardise data-processing pipelines and validation routines that support model development, benchmarking, and deployment
  • Support translational research applications, including biomarker discovery, IHC quantification, and tissue-based endpoint characterisation
  • Work directly with pathologists to ground datasets and model outputs in real morphological findings, lesion terminology, and diagnostic reasoning
  • Collaborate with the AI, software, and product teams to align research outputs with Deciphex's scientific and product roadmap

Required Skills and Experience

  • PhD in data science, bioinformatics, computational biology, biomedical science, statistics, computer science, or a related quantitative field (equivalent research experience may also be considered)
  • Strong proficiency in Python and relevant machine-learning and scientific-computing frameworks, such as PyTorch and scikit-learn.
  • Experience curating, integrating, and quality-controlling large imaging datasets and associated structured metadata
  • Demonstrable experience applying data science and machine learning to digital pathology, biomedical imaging, or complex biomedical datasets
  • Strong grounding in applied statistics and model validation, including experimental design and selection of clinically or operationally meaningful performance measures
  • Experience designing and conducting deep-learning experiments, including model training, evaluation, ablation studies, and systematic comparison of modelling approaches
  • Ability to translate scientific questions into well-defined datasets, analytical plans, validation strategies, and clear evidence-based conclusions
  • Experience developing reproducible analytical workflows using appropriate practices for version control, testing, environment and configuration management, provenance, and technical documentation
  • Ability to read and critically interpret scientific publications, technical standards, and relevant regulatory guidance
  • Excellent written and verbal communication in English, including the ability to produce clear technical and scientific documentation for specialist and non-specialist audiences
  • Demonstrated ability to work effectively across multidisciplinary and multi-organisation teams, managing competing scientific and delivery priorities

Desirable Skills and Experience

  • Working knowledge of histopathology, including tissue morphology, pathological findings and terminology, and the ability to discuss datasets and model outputs fluently with pathologists
  • Understanding of preclinical toxicology study design, treatment and control groups, endpoints, and histopathology workflows
  • Experience with whole-slide imaging, digital pathology platforms, image formats, annotation workflows, and large-scale image-data management
  • Experience with pathology foundation models, self-supervised learning, Vision Transformers, representation learning, model fine-tuning, or knowledge distillation
  • Experience training and evaluating deep-learning models using GPU, HPC, cloud, or distributed-computing infrastructure
  • Experience with translational pathology applications, such as biomarker discovery, IHC or multiplex-image analysis, tissue segmentation, and tissue-based endpoint characterisation
  • Experience collaborating with software engineers to translate research models and analytical workflows into maintainable, tested, and product-ready implementations
  • A record of peer-reviewed publication, conference presentation, or substantive delivery of applied AI research

About the Company
Through the work that we do, the team at Deciphex helps pharma to accelerate the process of essential drug development and helps patients to get timely and accurate diagnosis.
Founded in Dublin in 2017, Deciphex has scaled rapidly to a team of over 230 people and counting who are providing software solutions to address the pathology gap in research pathology and clinical areas. We have offices in Dublin, Exeter, Oxford, Toronto and Chicago and are expanding our team throughout the world.
We are software developers, clinical specialists, AI engineers, operations professionals and so much more, all working as one team to support our customers and patients. Our team culture is built on trust. We give our team the space they need to deliver results and the environment to ensure they can enjoy doing it.
We are looking for highly motivated individuals who are excited to take on challenges and value making a difference in their day-to-day work. This is a unique opportunity to make a difference in the emerging Digital Pathology field.
Read more about Deciphex here and more about our incredible team on our Careers Page here
What are the benefits of working with Deciphex?

  • Healthcare benefits
  • Competitive annual leave
  • A true sense of meaning in your work by contributing to better patient outcomes.
  • The opportunity to work alongside a world-class high performing team in a hyper-growth startup environment.
  • A chance to work on exciting,challenging and unique projects.
  • Regular performance feedback and significant career growth opportunities.
  • A highly collaborative and supportive multi cultural team.

Deciphex is an equal opportunities employer and we are committed to the principle of equality. All qualified applicants will be considered for employment without regard to age, race, religious beliefs, political views, gender identity, affectional or sexual orientation, national origin, family or marital status (including pregnancy), disability, membership of the travelling community or any other classification protected by applicable law.
A copy of our Privacy Policy can be viewed here
Originally posted on Himalayas

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DeciphexIrelandFull Time今天
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