We are currently looking for a computational chemist/cheminformatics scientist to join our growing team. This is a great opportunity for a scientist to work with the best researchers in the field to apply state-of-the-art machine learning approaches to accelerate the evaluation and design of molecules at all stages of the discovery process. As a team member of our growing cheminformatics research group, you will:

• Identify and collect ADMET data from various sources.
• Perform necessary data curation to verify the accuracy, consistency, and reproducibility of the collected data.
• Build high-quality and commercial-grade QSAR and QSPR models.
• Automate data science processes and data analyses.
• Communicate well and work with other scientists and software engineers to build our late-stage optimization program.
• Attend and/or present at scientific conferences.
• Perform other related duties as assigned.

Qualifications

• D. in Chemistry, Computational Chemistry, Medicinal Chemistry, or life sciences with 0-5 years of industry and/or post-doctoral experience.
• Strong understanding of the field of cheminformatics both scientifically and its applications in drug discovery.
• Robust understanding of the relationship between data quality, quantity, diversity, statistics, and machine learning model development.
• Coding skills in at least one high-level programming language (Python, R, Java, C++, etc.) is desired.
• Ability to communicate and demonstrate a positive attitude while interacting with scientists from diverse disciplines within cross-functional teams.
• Must be able to multitask and have strong organizational skills.
• Self-motivated with ability to work with minimal supervision.
• Minimal travel required (10%).

Job Location

• Remote home office, with flexible schedule considered with management approval.

Compensation

• Competitive base salary, merit-based bonus, stock option grants, and generous benefits package.