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Up Directory CCL 20.12.18 Machine Learning Specialist SELVITA
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Date: Fri Dec 18 09:19:48 2020
Subject: 20.12.18 Machine Learning Specialist SELVITA
Selvita is a global integrated drug discovery partner for the pharmaceutical and biotechnology 
industries with offices in Cambridge, UK, Greater Boston Area, San Francisco Bay Area, as well as, 
Krakow and Poznan, Poland. The company offers drug discovery support at every stage of the early 
discovery phase up to the preclinical research phase.

Due to constant development, currently, we are seeking candidates for the position 
in the Machine Learning Team. 

Machine Learning Specialist will be responsible for designing and building machine learning models 
to develop best-in-class deep neural networks to generate focused chemical libraries. It will work 
with the latest Deep Learning technology in a team of highly qualified specialists in the field 
of drug discovery within a department of computational chemistry.



- Propose an appropriate method and design a machine learning architecture adapted to the task
- Build the proposed models using one of the available machine learning environments
- Preparation and processing of data required for training the model(s)
- Training the models to meet the required validation criteria
- Proposing and implementing modifications improving the efficiency of the developed models
- Integration of finalized models in a tool to generate focused chemical libraries
- Introduction of the information system concept. integrating trained artificial intelligence 
methods as well as designing and writing the user interface
- Using appropriate programming skills to implement the AI models using high-performance 
- Use of GPU acceleration for AI
- Reporting results to supervisors

Main requirements:
- Master's / PhD degree, preferably in machine learning, computational chemistry, computer vision, 
computer science, cheminformatics 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
- Programming in Python or any other appropriate programming language (advanced or better)
- Experience with GPU acceleration for AI
- Work in the Unix environment

Additional skills (optional):
- Basic knowledge of organic chemistry
- Statistics
- Research experience in the following areas: structure or ligand based drug design, identification 
and characterization of biological targets

Each candidate should provide a list of machine learning environments/programs/libraries they know, 
along with a self-assessment of proficiency in each tool on a basic, advanced, and expert scale.


- Extensive research facilities and modern laboratories
- Daily cooperation and know-how exchange with an experienced research team
- Long-term cooperation based on stable employment conditions
- Competitive basic salary & bonus opportunities
- Training program enabling scientific development (Peer to Peer Academy, scientific lectures, participation in conferences)
- Soft skills trainings & language courses (English & Polish)
- Support in relocation and legalization procedures
- Private medical care and the possibility to participate in life insurance program
- On-site, subsidized kindergarten
- Lunch benefits & fruits in the office
- Multisport card and on-site fitness & spa facility
- Possibility to participate in sports activities (football, volleyball)
APPLY HERE:,ja,159
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