Senior Computational Biologist - Cheminformatics

Placements24; East End (United States Virgin Islands); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote-first culture

Healthcare benefits

Professional development

Job summary

Placements24 seeks a Senior Computational Biologist with Cheminformatics expertise to join a remote-first research team focused on accelerating drug discovery. You will develop computational tools to analyze chemical structures, predict properties, and identify promising candidates, collaborating with cross-disciplinary scientists in a flexible, globally distributed environment.

The role emphasizes applying ML to chemical data, integrating diverse omics and assay information, and driving

Qualifications

• PhD in Cheminformatics, Computational Chemistry, Computer Science, or related quantitative field.
• 6+ years of professional cheminformatics and computational drug discovery experience.
• Proficiency in Python or R and RDKit/OpenEye toolkits.
• Strong ML experience with chemical data (QSAR, classification, regression).

Responsibilities

• Develop and implement cheminformatics tools and workflows for large chemical and biological datasets.
• Apply machine learning and statistical modeling to predict molecular properties and ADMET.
• Design and execute virtual screening campaigns to identify lead compounds.
• Integrate diverse data sources to support early drug discovery efforts.
• Collaborate with medicinal chemists, biologists, and pharmacologists to guide compound design and validation.
• Stay abreast of advances in cheminformatics and computational chemistry.

Skills

Python

R

ML

QSAR

Chemoinformatics

Education

PhD in Cheminformatics/Computational Chemistry

Tools

RDKit

OpenEye

Job description

About the Role

Our client is seeking a highly motivated Senior Computational Biologist with a specialization in Cheminformatics to join their innovative research team in Welkom . This role is critical for integrating biological and chemical data to accelerate drug discovery and development. You will be responsible for developing and applying computational tools and models to analyze chemical structures, predict molecular properties, and identify potential drug candidates. The ideal candidate will possess strong expertise in cheminformatics, machine learning, and computational modeling, coupled with a deep understanding of biological systems and a passion for leveraging data to drive scientific breakthroughs in a remote-first research setting.

Key Responsibilities

• Develop and implement cheminformatics tools and workflows for the analysis of large chemical and biological datasets.
• Apply machine learning and statistical modeling techniques to predict molecular properties, ADMET profiles, and target binding affinity.
• Design and execute virtual screening campaigns to identify novel lead compounds.
• Integrate diverse data sources, including chemical structures, biological assays, and omics data, to support drug discovery efforts.
• Collaborate with medicinal chemists, biologists, and pharmacologists to guide compound design and experimental validation.
• Stay abreast of the latest advancements in cheminformatics, computational chemistry, and related fields.

Requirements

• Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, or a related quantitative field.
• Minimum of 6 years of professional experience in cheminformatics and computational drug discovery.
• Proficiency in programming languages such as Python or R, and experience with cheminformatics toolkits (e.g., RDKit, OpenEye).
• Strong experience in applying machine learning techniques to chemical data (e.g., QSAR, classification, regression).
• Solid understanding of chemical structures, molecular representations, and relevant algorithms.
• Excellent communication skills and the ability to work effectively in a remote, collaborative environment.

Benefits

• Competitive salary and bonus structure, reflecting seniority and expertise.
• Opportunity to work on cutting-edge drug discovery projects from a remote location.
• Comprehensive health, dental, and vision insurance benefits.
• Allowance for professional development, including online courses and conferences.
• Access to advanced computational resources and software licenses.