Remote Research Scientist - Cheminformatics

Placements24; Queenstown; Hybrid; NZD 140,000 - 190,000; Full time

Benefits offered by this job

Fully remote work

Competitive compensation

Professional development

Flexible schedule

Job summary

Placements24 is seeking a highly motivated Remote Research Scientist with Cheminformatics expertise to join a drug discovery team. You will apply computational approaches to analyze chemical data and support lead optimization from a fully remote location.

The role emphasizes collaboration with medicinal chemists and biologists, building predictive models, and managing chemical databases. A PhD or MS with 5+ years in cheminformatics is required.

Qualifications

• PhD or MS in Cheminformatics/Computational Chemistry or related field.
• Minimum 5 years of cheminformatics experience in drug discovery.
• Proficiency with RDKit and OpenEye; Python programming.
• Strong communication for remote collaboration.

Responsibilities

• Develop cheminformatics methods for large chemical libraries and SAR.
• Design virtual screening campaigns to identify hits.
• Build predictive models for properties, ADMET, and activity.
• Collaborate with medicinal chemists and biologists.
• Curate and manage chemical databases ensuring data integrity.
• Stay updated on cheminformatics and ML advances.

Skills

Python programming

RDKit

OpenEye

QSAR / ML for chemicals

Education

PhD in Cheminformatics

MS in Chemistry or related field

Tools

RDKit

OpenEye

Molecular modeling software

Job description

About the Role

Our client is seeking a highly motivated Remote Research Scientist with expertise in Cheminformatics to join their innovative drug discovery team. This role is fully remote, allowing you to contribute from anywhere. You will be instrumental in applying computational approaches to analyze chemical data, support lead optimization, and identify promising drug candidates. Working in a highly collaborative virtual environment, you will leverage advanced cheminformatics tools and databases to drive research forward and accelerate the drug development pipeline. The ideal candidate will have a strong computational background, a deep understanding of chemistry, and a passion for applying data science to solve complex biological and medicinal chemistry problems.

Key Responsibilities

• Develop and apply cheminformatics methods to analyze large chemical libraries and structure-activity relationships (SAR).
• Design and implement virtual screening campaigns to identify novel hit compounds.
• Build predictive models for physicochemical properties, ADMET, and biological activity.
• Collaborate closely with medicinal chemists and biologists to guide compound design and selection.
• Curate and manage chemical databases, ensuring data integrity and accessibility.
• Stay current with the latest advancements in cheminformatics, computational chemistry, and machine learning relevant to drug discovery.

Requirements

• Ph.D. or Master's degree in Cheminformatics, Computational Chemistry, Medicinal Chemistry, or a related field.
• Minimum of 5 years of experience in cheminformatics , with a focus on drug discovery applications.
• Proficiency in cheminformatics toolkits (e.g., RDKit, OpenEye) and programming languages (Python).
• Experience with molecular modeling, QSAR, and machine learning techniques for chemical data.
• Strong understanding of organic chemistry principles and drug discovery processes.
• Excellent communication and collaboration skills, essential for a remote role.

Benefits

• Competitive salary and comprehensive benefits package.
• Fully remote work arrangement, offering maximum flexibility.
• Opportunity to work on cutting-edge drug discovery projects.
• Generous paid time off and professional development opportunities.
• A dynamic and collaborative virtual team culture focused on innovation.