Computational Biology & Cheminformatics Expert

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This is a fully remote position open to candidates based in Canada.

Pay: $80$110/hr

Role Title: Computational Biology & Cheminformatics Expert

Role Type: Contractor

Location: Remote

We are engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customers computational drug discovery this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required your domain knowledge is what matters.

Scope of Work

1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology bioinformatics and cheminformatics methods.
2. Curate annotate and validate chemical and biological datasets (e.g. ChEMBL PubChem DrugBank) to support AI-driven discovery platforms.
3. Evaluate compound-target interactions ADMET properties and lead optimization strategies by integrating chemical biological and clinical data sources.
4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR) medicinal chemistry approaches and experimental design considerations.
5. Build and implement code-based benchmark tasks (e.g. terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
6. Develop reproducible environments (e.g. using Docker) and automated testing pipelines to ensure task correctness and solvability.
7. Assess and review AI-generated outputs for scientific rigor accuracy and practical relevance delivering detailed written feedback and recommendations.

Preferred Qualifications

1. Advanced expertise in Computational Biology Cheminformatics Medicinal Chemistry Biochemistry or related fields; advanced degree (PhD MSc PharmD) highly valued but not strictly required.
2. Strong coding proficiency in Python (beyond analysis scripts) with hands-on experience building tools pipelines or testable code; familiarity with Git GitHub and Docker.
3. Extensive experience with cheminformatics toolkits and platforms such as RDKit KNIME Schrödinger OpenEye or MOE.
4. Proven track record in small-molecule drug discovery SAR/QSAR evaluation ADMET prediction or virtual screening workflows.
5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.