Bioinformatics Scientist (Drug Discovery & AI Training)
Gramian Consulting Group
$0-$0 / yr
Salary
argentina
Region
ASAP
Start Date
About Gramian Consulting Group
Gramian Consultancy brings together the perspective of a software engineer, the knowledge of a technical recruiter, and the vision of a business builder. This unique experience is our signature advantage to delivering top quality services in the domain of recruiting, staff augmentation, and outsourcing.
About this Role.
About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role Overview
We are looking for an experienced Bioinformatics Scientist to support a scientific project focused on improving how advanced AI systems understand biological, chemical, and drug-discovery data.
You will analyse and validate complex datasets, review AI-generated scientific content, and contribute expert insights across bioinformatics, medicinal chemistry, cheminformatics, and molecular analysis. Previous AI experience is not required.
CONTRACT: Freelance contractor, paid per completed task
COMMITMENT: Flexible, based on available tasks and project demand
LOCATIONS: Fully remote - GLOBAL
PROCESS: Application review, technical assessment, and onboarding
HOURLY RATE: 90-120/h
Responsibilities
Analyse biological, chemical, and clinical datasets relevant to drug discovery.
Curate, annotate, and validate scientific data.
Evaluate AI-generated outputs for accuracy, relevance, and reliability.
Interpret findings from omics, cheminformatics, and molecular datasets.
Develop scientific content and realistic medicinal chemistry scenarios.
Provide input on experimental design and data interpretation.
Identify data-quality issues, inconsistencies, and unsupported conclusions.
Deliver structured feedback and recommendations to improve AI outputs.
Requirements
Advanced degree in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related field.
Experience analysing large-scale biological, omics, or cheminformatics datasets.
Strong knowledge of medicinal chemistry, structure–activity relationships, or drug-design principles.
Proficiency with bioinformatics or cheminformatics tools and programming languages such as Python, R, RDKit, or KNIME.
Experience interpreting scientific literature and communicating technical findings clearly.