Careers

Join us in accelerating discovery.

OPEN POSITIONS · 1

Open positions

  • Data Scientist – GenAI & Product Building

    • On-site
    • Full-Time
    • Trieste (Italy)
OPEN POSITION

Data Scientist – GenAI & Product Building

Location
Trieste (Italy)
Work mode
On-site
Type
Full-Time

Company Description

aixelerate drives the acceleration of scientific research. Our platform combines AI-driven data analysis with human expert validation to deliver highly robust, publication-grade results. By leveraging advanced technology and real-world expertise, we empower researchers to achieve reliable outcomes rapidly. Our mission is to optimize the efficiency and accuracy of scientific research efforts.

Role Description

We are looking for a Data Scientist with strong product sensibility to join a highly experienced team (each member with 12+ years of experience) working on an agentic web platform for scientific research.

This role goes beyond building models or running analyses. You will help design and build AI-powered tools and agents that are actually used by biomedical scientists. That means combining strong data science skills with clear thinking about users, workflows, and usability.

You will work at the intersection of data science, AI systems, and product, contributing directly to a user-facing platform that automates and augments the analysis of complex biological datasets.

Who You Are

  • A sharp critical thinker with a proactive mindset, able to own priorities and drive outcomes in a fast-moving environment.
  • A pragmatic problem-solver with a strong “get things done” attitude.
  • Curious, adaptable, and comfortable learning fast in unfamiliar domains.
  • Product-oriented: you naturally think about who the user is, what they need, and how your work will be used in practice.
  • Comfortable engaging directly with users, asking good questions, and refining solutions based on feedback.
  • You care about clarity, usability, and polish, not just technical correctness.

Technical skills

  • Strong Python programming skills, with solid foundations in statistics and machine learning.
  • Proficiency in data science, data analysis, and data visualization techniques.
  • Ability to design clear, intuitive visualizations and outputs that help users understand complex results.
  • Product-building mindset: comfortable contributing to a production web application (e.g. fixing a small bug, improving an interaction, writing a unit test).
  • Familiarity with version control tools (e.g. Git).
  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field.

Product & UX Sensibility (Strongly Valued)

  • Good taste for simple, usable, and well-structured UI, even without a design background.
  • Ability to reason about UX trade-offs, information hierarchy, and cognitive load.
  • Experience translating ambiguous user needs into concrete product or feature decisions.
  • Habit of thinking in terms of end-to-end user workflows, not isolated analyses.
  • Willingness to prototype quickly, test ideas with users, and iterate.

Nice to Have

  • Experience with biological datasets (e.g. OMICS).
  • Familiarity with the academic research process and scientific publications.
  • Experience running or participating in user interviews, usability testing, or product discovery.
  • Previous work on user-facing tools, dashboards, or platforms used by non-technical users.
  • Side projects or open-source contributions where you owned both the data logic and the user experience.

What You Will Do

  • Rapidly prototype, iterate, and engage with biomedical scientists and researchers to understand real needs.
  • Design and develop AI agents and tools for automated analysis of complex biological datasets.
  • Build predictive models, apply advanced statistical analysis, and create clear, intuitive visual outputs.
  • Contribute directly to an agentic web platform, bridging data science, AI systems, and product functionality.
  • Work daily with experts in AI, biology, management, and platform engineering, learning and contributing across disciplines.

What we offer

  • Flexible, dynamic, and international work environment with strong autonomy.
  • A rare opportunity to join a startup within its first 10 employees, enabling rapid professional growth alongside the company.
  • A friendly but highly focused, meritocratic, and impact-driven culture.