Python Developer

About project

Main tasks:

• Supporting existing ETL pipeline written in Python using Postgres database.
• Exploring, understanding, efficiently loading new chemical datasets into the database.
• Writing computationally efficient chemoinformatics related ETL routines for data normalization, standardization, etc.
• Consolidation of different data sources into common schema.
• Ease of mining and search for chemists within very diverse and scattered internal data.
• Preparation of standardized data for building Machine Learning models.
• Working on data update automatization.

Additional tasks:

• Providing help to stakeholders with code optimization in terms of performance, profiling, parallelization.
• Working on ML Model training solution that continuously retrains models based on database updates.

Team: 3 people, including 2 other Python Developers / ML Engineers + 3 people in parallel team + stakeholders.

Points of growth:

• Work within very interesting chemistry related domain.
• Occasional possibility to publish scientific papers.

Required experience

• 3+ years of experience with Python: OOP, multiprocessing.
• Proficiency with RDBMS: Database Design, good knowledge of SQL.
• Proficiency with Git.

Would be a plus:

• Experience with Chemical Informatics: RDKit.
• Understanding of smiles, smarts, smirks, SDF, RDF formats.

We offer

• Flexible work schedule.
• The ability to work remotely.
• Opportunities for professional growth.
• Medical insurance.
• Relocation bonus for candidates when moving.