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 Machine Learning Specialist to join our dynamically growing multidisciplinary AI Drug Discovery Team. The successful candidate will work with the latest deep learning technology in a team of highly qualified specialists in the field of drug discovery.
Join us at Selvita, where these values guide our mission to advance drug discovery to the clinical stage of drug development.
Key responsibilities:
- Design and implementation of state-of-the-art machine learning models to tackle complex challenges in the field of computational chemistry and bioinformatics.
- Interact with other teams in Selvita to understand their workflows and where the introduction of artificial intelligence and automation would be helpful.
- Keep up to date with the academic literature to find new models and procedures to apply to computational chemistry and bioinformatics.
- Preparation and processing of data required for model training and validation.
- Integrating trained artificial intelligence methods in existing workflows.
- Develop new workflows that contribute to the projects by improving speed and accuracy.
- Implement AI/ML models on high-performance computers with GPU acceleration.
Fields of applications:
- ML powered high throughput virtual screening to assess compounds’ activity.
- Creation of embeddings and explorable subspaces for molecules.
- AI informed chemical space exploration.
- Chemical reactions prediction and retrosynthesis.
- Generative methods for drug design and optimization.
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 building, training and validating machine learning models.
- Advanced programming skills in Python (knowledge of other languages is appreciated)
- Experience with GPU acceleration for AI.
- Work in a Linux/Unix environment.
- Fluent professional and scientific English.
Additional skills (optional):
- Basic knowledge of organic chemistry or biology.
- Basic knowledge of KNIME or other low-code protocols.
- Experience with distributed computing, docker and kubernetes.
- Research experience in structure- or ligand-based drug design, identification and characterization of biological targets.
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.
- English & Polish language courses.
- Support & incentive bonus for completing Ph.D.
- Support in the legalization process and relocation package.
- Various sports and engagement initiatives.
- On-site subsidized kindergarten.
