Python разработчик

EPAM Systems provides software engineering and IT consulting services, delivering innovative digital solutions to global industry leaders across various sectors.

• Design and develop software solutions for drug discovery and chemical data analysis;
• Build and maintain computational pipelines for processing molecular and experimental data;
• Implement algorithms for virtual screening, QSAR/SAR modeling, and molecular descriptor calculation;
• Work with chemical structure representations such as SMILES, molecular graphs, and fingerprints;
• Integrate and analyze data from chemical databases like ChEMBL and PubChem;
• Apply machine learning techniques to chemical and biological datasets;
• Collaborate with scientists, researchers, and cross-functional engineering teams;
• Ensure code quality, scalability, and reproducibility of computational workflows.

• Strong Python development experience;
• Proven experience in Cheminformatics, Computational Chemistry, or Drug Discovery;
• Experience working with QSAR/SAR models, virtual screening, or molecular modeling;
• Understanding of chemical structure representation and similarity search;
• Experience working with chemical databases such as ChEMBL and PubChem;
• Solid knowledge of data analysis and statistical modeling;
• Experience applying Machine Learning techniques in scientific contexts;
• Familiarity with tools such as RDKit or similar cheminformatics libraries;
• Ability to work in an R&D-oriented environment;
• Nice to have: experience with molecular dynamics simulations, knowledge of quantum mechanics modeling, experience with cloud environments (AWS, Azure, or GCP), experience deploying ML models into production, background in Pharmaceutical or Biotechnology industry.

• Opportunity to work abroad for up to two months per year;
• Relocation opportunities within offices in 55+ countries;
• Corporate and social events;
• Leadership development, career advising, soft skills and well-being programs;
• Certifications, including GCP, Azure and AWS;
• Unlimited access to LinkedIn Learning and Udemy;
• Free English classes with certified teachers;
• Discounts in local language schools, including online courses for the Kazakh language;
• Participation in the Employee Stock Purchase Plan;
• Monetary bonuses for engaging in the referral program;
• Medical and family care package;
• Six trust days per year;
• Coverage of psychology sessions;
• Benefits package including sports activities and discounts in stores and services;
• Housing support program with preferential mortgage access via Otbasy Bank.