Exciting opportunity for a talented Data Scientist - Cheminformatics to join a dynamic organization focused on unlocking the unreachable scientific space. The role offers a competitive salary, development opportunities, and the option to work remotely. The organization has a proven track record of delivering outstanding scientific discoveries.
RESPONSIBILITIES:
Take a leadership role in the chemical intelligence team to deliver solutions for retrosynthesis, reaction conditions prediction, and molecular properties predictions.
Design, test, and implement algorithms for chemical exploration and synthesis strategies.
Process, structure, and analyze chemical and experimental data to support the development of these strategies.
Develop and implement R&D algorithms into software products.
Present data and recommendations to internal teams and external stakeholders.
Desired Skills and Attributes:
Experience in the development & deployment of large-scale ML algorithms.
Experience working under Agile/Scrum-based project management.
Experience analyzing large structured and unstructured datasets.
Familiarity with database tools such as RDBMS (e.g., MySQL) or No-SQL (e.g., MongoDB).
Ability and eagerness to familiarize yourself with novel techniques based on project needs.
Requirements:
Knowledge of cheminformatics, retrosynthesis, or drug discovery.
Strong proficiency with ML toolkits (e.g., Pytorch, TensorFlow, Scikit-Learn) and deployment of software on high-throughput compute servers.
MSc/PhD in natural sciences, mathematics, or engineering with 2+ years of industry experience.
Keen interest in chemistry and a willingness to learn chemical concepts quickly.
Experience leading interdisciplinary teams to deliver results under tight deadlines, preferably using Agile/Scrum-based project management.
Excellent oral and written communication & presentation skills (English fluency).