Computational Biology & Cheminformatics Expert - vaga remota

A empresa micro1 está com uma vaga aberta de Computational Biology & Cheminformatics Expert. A posição fica na área de TI e programação e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

As principais ferramentas citadas no anúncio são: Python, Kubernetes. O currículo precisa mostrar exemplos concretos exatamente dessas habilidades.

A empresa publicou a remuneração: $80 - $110 por hora. O anúncio não impõe condição nenhuma de horário.

Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.

Role Title: Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll 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

* Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.

* Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.

* Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.

* Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.

* Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.

* Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.

* Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.

Preferred Qualifications

* Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.

* Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.

* Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.

* Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.

* Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.

* Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.

* Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Originally posted on Himalayas