Senior Research Analyst - Cheminformatics

Placements24

Upington

Hybrid

ZAR 900,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Job summary

Placements24 in Upington, South Africa, seeks a Senior Research Analyst specialized in Cheminformatics to advance drug discovery and materials science through computational chemistry, data analysis, and predictive modeling.

You will manage large chemical datasets, develop tools and databases, collaborate with chemists and biologists, and stay abreast of new methods in cheminformatics while working in a hybrid model that blends on-site collaboration with remote flexibility.

Qualifications

  • Master's or Ph.D. with strong computational focus.
  • Minimum 5 years of cheminformatics experience, preferably in drug discovery or materials science.
  • Proficiency in Python and cheminformatics libraries.
  • Experience in chemical database management and querying.
  • Strong understanding of chemical structures and their relation to activity or material performance.

Responsibilities

  • Develop and implement cheminformatics tools and databases for managing, searching, and analyzing chemical structures and properties.
  • Apply QSAR and molecular modeling to predict activity, toxicity, and properties.
  • Collaborate with medicinal chemists and biologists to support drug discovery through data analysis and tool development.
  • Visualize and communicate complex cheminformatics results to scientific teams.
  • Stay current with cheminformatics advancements and propose new methodologies.

Skills

Python programming
RDKit/OpenBabel
Cheminformatics
Data analysis

Education

Master's or Ph.D. in Chemistry/Cheminformatics/CS

Tools

RDKit
OpenBabel

Job description

About the Role

Our client is seeking a skilled Senior Research Analyst specializing in Cheminformatics to join their dynamic team in Upington . This role is central to applying computational methods to chemical data, aiding in drug discovery and materials science research. You will be responsible for managing, analyzing, and interpreting large chemical datasets, developing predictive models, and collaborating with chemists and biologists to accelerate research programs. This position offers a unique opportunity to work at the intersection of chemistry and computer science within a forward-thinking organization, utilizing a hybrid work model that blends on-site collaboration with remote flexibility.

Key Responsibilities
  • Develop and implement cheminformatics tools and databases for managing, searching, and analyzing chemical structures and properties.
  • Apply computational methods, including QSAR and molecular modeling, to predict compound activity, toxicity, and properties.
  • Collaborate with medicinal chemists and biologists to support drug discovery efforts through data analysis and tool development.
  • Visualize and communicate complex cheminformatics results to scientific teams in an understandable manner.
  • Stay current with the latest advancements in cheminformatics and related fields, proposing new methodologies and technologies to enhance research capabilities.
Requirements
  • Master's or Ph.D. in Chemistry, Cheminformatics, Computer Science, or a related field with a strong computational focus.
  • Minimum of 5 years of experience in cheminformatics, with a significant portion dedicated to drug discovery or materials science.
  • Proficiency in programming languages such as Python , with experience in relevant cheminformatics libraries (e.g., RDKit, OpenBabel).
  • Experience with chemical database management and querying is essential.
  • Strong understanding of chemical structures, properties, and their relationship to biological activity or material performance.
Benefits
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off and holiday schedule.
  • Opportunities for professional development and continuing education.
  • A collaborative and innovative work environment located in Upington .
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