Research Software Engineer (Bioinformatics/Ml)
Pubblicato il 01-10-2026 - Human Technopole in Milano
Build the science that shapes the future of human health.Application closing date: 10.10.2026Join a place where ambitious science thrivesHuman Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health.Within this mission, the Glastonbury Group uses machine learning applied to large-scale digital pathology and spatial transcriptomics datasets generated in-house to understand the molecular basis of specific pathologies and the genetic basis of multiple, complex diseases.We are seeking an ambitious Software engineer with expertise in machine learning, reproducible code, computational imaging and bioinformatics/computational biology workflows related to genomics. The successful candidate will work at the interface of machine learning, pathology and genomics to help enable and accelerate the work of team members in the group (postdocs, PhD students).You will work with the principal investigator and team to develop and productionise commonly used computational workflows and to harmonise tool/software usage across the lab. You will maintain code (GitHub/Gitlab) used across the lab, be responsible for spotting usage patterns in different projects, harmonising them into a common software stack and offering solutions that can be used in different contexts. The candidate will have the ability to work on several different digital pathology and spatial transcriptomics projects taking place in the group.Grow Your SkillsYou will enhance your scientific and professional skills by working with a range of different data modalities and across a range of scientific projects:Large-scale whole slide imaging (WSI) histology datasets (H&E,
IHC)Spatial transcriptomicsHuman genetics data (WGS)Text based pathology reportsCutting edge ML approaches in self-supervised learning, foundation models, etc.Be part of a wider AI community, specifically the multimodal AI flagship project taking place at HTHuman Technopole also supports career development through training, mentoring and dedicated learning opportunities.Essential SkillsMSc in machine learning / computer science or a related discipline.At least 3 years in the role or similar one.Strong programming and data handling skills (e.G. git, HPC environments, etc)Fluency in EnglishPreferred SkillsPhD in relevant fieldStrong software engineering skillsMachine learning experience applied to spatial transcriptomics and/or digital pathology datasetsA genuine interest in biology and solving biological problems or willingness to learnWhy Human TechnopoleHT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may vantaggi from attractive tax benefits. We promote work-life balance and provide parental support initiatives.We strongly encourage applications from candidates belonging to protected categories (L. 68/99).This is a 4-year contract offered under CCNL Chimico Farmaceutico, Level B2Salary: €46.000 - € 50.000,00 depending on the candidate’ seniority.The position is based in Milan, Italy, within our vibrant international campus.The Foundation reserves the right, at its sole discretion, to extend, suspend, modify, revoke, or cancel this job posting without giving rise to any rights or claims whatsoever in favor of the candidates; the Foundation reserves, however, the right not to proceed with the awarding of the above-described assignment due to the effect of supervening regulatory provisions and/or obstructive circumstances.#J-18808-Ljbffr