HRER2026/326-155 DATA SCIENTIST - TECHCONNECT

Euraxess; Madrid; On-site; EUR 35,000 - 60,000; Full time

Job summary

The MEDAL lab at the CTB, Universidad Politécnica de Madrid, invites applications for a data scientist with a PhD to study AI impact on professions and medical sector data pipelines. The role involves analyzing AI applications, evaluating services in data science workflows, and managing data in R and Python.

Candidates should have strong statistics, ML experience, and publications; collaboration in international environments is expected. Starting date 16 Jul 2026, permanent, full-time.

Qualifications

• PhD in a science-related discipline.
• Statistical modeling: ANOVA, hurdle and zero-inflated models, logistic regression, GLMs/GLMMs, GAMs, Bayesian analysis.
• Data science and ML: CNNs and predictive models, dimensionality reduction (PCA, PCoA, RDA) and PERMANOVA.
• Software and Programming: Solid skills in R, Python, Bash, SQL, Git, and Docker. Analysis and handling of complex datasets.
• Project management, strong cross-team communication skills, participation as an author in scientific publications, and collaboration in international environments.

Responsibilities

• Analysis of the impact of AI technology on different professions
• Analysis of case studies of AI applications in the medical field
• Evaluation of services carried out in the data science pipeline in the medical sector
• Data management in R and Python in the medical sector and its impact on professions

Skills

R

Python

Bash

SQL

Git

Docker

Education

PhD or equivalent

Tools

Docker

Git

SQL

Job description

Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 29 Jul 2026 - 23:00 (Africa/Abidjan) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 16 Jul 2026 Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

• Analysis of the impact of AI technology on different professions
• Analysis of case studies of AI applications in the medical field
• Evaluation of services carried out in the data science pipeline in the medical sector
• Data management in R and Python in the medical sector and its impact on professions

Where to apply

E-mail [e-mail]

Requirements

Research Field Other Education Level PhD or equivalent

• PhD in a discipline related to sciences.
• Statistical Modeling: Good knowledge of ANOVA, hurdle and zero-inflated models, logistic regression, GLMs/GLMMs, GAMs, Bayesian analysis.
• Data Science and ML: Experience applying CNNs and predictive models, dimensionality reduction (PCA, PCoA, RDA) and PERMANOVA.
• Software and Programming: Solid skills in R, Python, Bash, SQL, Git, and Docker. Analysis and handling of complex datasets.
• Project management, strong cross-team communication skills, participation as an author in scientific publications, and collaboration in international environments.

Languages SPANISH Level Excellent

Languages ENGLISH Level Excellent

Research Field Computer science » Other Years of Research Experience 4 - 10

Additional Information

The selected candidate will join the MEDAL lab at the CTB

Selection process

• PhD in a discipline related to sciences: 0 - 2
• Experience in the areas mentioned in the SKILLS-QUALIFICATIONS section: 0 - 10
• Experience in international project management and leadership : 0 - 2
• Academic experience: teaching, publishing articles, participating in conferences: 0 - 4
• Personal interview: 0 - 2

Additional comments

This action is financed with the funds form the project TECHCONNECT, Grant agreement ID: 101177251, call HORIZON-CL2-2024-TRANSFORMATIONS-01.

Only applications that send a copy of the required degrees (PhD, master, degree) to the email: [e-mail] , indicating in the subject the reference: "DATA SCIENTIST - TECHCONNECT" will be evaluated. Those candidates that DO NOT meet the previous requirement will be EXCLUDED from the selection process.