Selvita is a global integrated service provider with laboratories in Poland (Krakow, Poznan, and Wroclaw), Croatia (Zagreb), and offices in Cambridge, UK, as well as the Greater Boston Area and San Francisco Bay Area in the US. Our company is dedicated to delivering comprehensive solutions that support our international clients in drug discovery and drug development.

As one of the largest preclinical contract research organizations in Europe, Selvita is driven by a clear mission: to bridge the gap between early drug discovery and the clinical stage of drug development.

At Selvita, we value partnership, excellence, passion, commitment, and integrity. We build strong, collaborative relationships with our clients and commit to the highest standards of quality. We fuel our pursuit of innovative solutions with enthusiasm, advance drug development with focused dedication, and ensure honesty and transparency in all our work.

We are seeking a skilled AI Scientist / Machine Learning Engineer to join our dynamically growing multidisciplinary AI Team in a newly created role within the company. You will play a pivotal role in shaping our internal AI strategy, driving two key initiatives: Transforming our operational workflows using Large Language Models (LLMs) and expanding our scientific capabilities through Protein Language Models (PLMs).

Join us at Selvita, where these values guide our mission to advance drug discovery to the clinical stage of drug development.

The salary range will be shared and discussed during the first conversation with the recruiter.

Key Responsibilities

• Design and implementation of LLM-based solutions (e.g. RAG pipelines) to automate internal workflows and extract insights from preclinical data.

• Apply and fine-tune state-of-the-art Protein Language Models (e.g. ESM, AlphaFold, ANKH) to support our projects in CAR-T cell therapy.

• Interact with other teams in Selvita to understand their workflows and where the introduction of artificial intelligence and automation would be helpful.

Your Background

• Master / PhD degree, preferably in machine learning, statistics, computer science, cheminformatics, bioinformatics, computational chemistry, physics or a related discipline

• Very good knowledge of modern methods of machine learning, artificial intelligence and neural networks

• At least 3 years of practical experience in machine learning with a focus on LLMs and/or PLMs

• Advanced programming skills in Python (knowledge of other languages is appreciated) with a focus on deep learning frameworks and GPU acceleration for AI

• Work in a Linux/Unix environment

• Proven experience with GitLab and containerization

• Fluent professional and scientific English

Additional skills (optional):

• Background in Bioinformatics or Computational Biology

• Basic knowledge of KNIME or other low-code protocols

Your Benefits Package

• Working in world-class extensive research facilities and modern laboratories.

• Daily cooperation and know-how exchange with scientific experts.

• Additional benefits: a prepaid lunch card, private medical care, subsidized sports card, and office fruit provision.

• Internal Development initiatives including soft & leadership skills training programs.

• Recognition Program.

• Employee Referral Program.

• Support & incentive bonus for completing Ph.D.

• Various sports and engagement initiatives.