Senior AI Research Engineer

The Petroni lab at EMBL Rome is seeking a Senior AI Research Engineer to join our team focused on advancing AI-driven scientific discovery. You will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for biology. Our overarching goal is to research and develop AI agents that collaborate with researchers throughout the discovery journey by understanding multi-modal and multi-omics data conducting literature research and brainstorming hypotheses and ideas ultimately accelerating scientific breakthroughs.

This role offers an exciting opportunity to work at the forefront of AI and bioinformatics.

Your role
Work closely with researchers and cross-functional partners spanning multiple teams and disciplines to define technical goals and lead implementation

Collaborate with postdocs PhD students research scientists and engineers to design and implement state-of-the-art AI algorithms and models for scientific discovery

Design and conduct thorough evaluations of AI models on real-world biological data identifying limitations and proposing improvements to enhance their performance and robustness

Effectively communicate complex features and systems in detail to diverse stakeholders

Publish research results and contribute to the scientific community

Minimum Qualifications

5 years of industry or lab experience or advanced degree with equivalent experience

Experience building systems based on machine learning and / or deep learning methods

Proficiency in programming languages such as Python C or similar

Interest in collaborative projects within a large scientific organization

Ability to work independently and in teams at the interface between life sciences and computer science

Excellent communication and presentation skills high motivation and fluency in English

Preferred Qualifications

Ph.D. in computer science computer engineering bioinformatics computational biology or related fields

Proven track record of achieving significant results as demonstrated by grants fellowships patents and publications at leading workshops journals or conferences in Machine Learning (NeurIPS ICML ICLR) Natural Language Processing (ACL EMNLP TACL) or Bioinformatics (Nature PNAS Cell).

Experience solving complex problems and comparing alternative solutions tradeoffs and diverse points of view to determine a path forward

Experience manipulating and analyzing complex large-scale high-dimensional data from varying sources

Contract length : 3 years renewable to 9 years
Salary :
Grade 7 (monthly salary starting at 3.84637 after tax and before 1205% EMBL social security deductions) other paid benefits based on personal circumstances

Why join us
EMBL is curiosity-driven community-oriented and international. As an inclusive equal opportunity employer we believe that diversity enables us to collaborate more effectively and be innovative in our approaches. We are therefore committed to creating an inclusive and flexible culture - one where everyone can realise our full potential and make a positive contribution to our organization.

We encourage applications from individuals who can complement our existing team we believe that success is built on having teams whose backgrounds and personal experiences reflect the diversity of the populations that our science serves. We actively encourage applications from all genders and cultures ethnic groups and all demographics to help us avoid perpetuating biases and oversights at this transformational point in our people strategy.

Enjoy lots of benefits :
Financial incentives :
Salary free of income tax Monthly family child and non-resident allowances annual salary review pension scheme death benefit long-term care accident-at-work and unemployment insurances

Flexible working arrangements
Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

Generous time off :
30 days annual leave per year in addition to public holidays

Relocation package including installation grant (if applicable)

Campus life :
Free shuttle bus (select sites) on-site library subsidised on-site gym and cafeteria casual dress code…