Research Analyst

• Design challenging, realistic agentic scientific workflows across the life sciences.
• Create multi-step computational tasks requiring scientific reasoning and execution.
• Develop realistic datasets, input files, instructions, constraints, and expected deliverables.
• Design workflows requiring agents to inspect data, select methods, execute analyses, troubleshoot issues, and synthesize results.
• Create reproducible expert solutions and objectively verifiable ground truths.
• Develop robust automated or semi-automated grading criteria.
• Ensure tasks evaluate scientific reasoning and execution rather than memorization.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
• Ensure tasks are self-contained and executable in controlled computational environments.
• Maintain high task quality and throughput while incorporating reviewer feedback.
• Work with Python and scientific programming libraries, command-line tools, domain-specific scientific software, scientific datasets, structured input files, packaged dependencies, and reproducible computational resources.

Scientific Python Research Specialist – Life Sciences

• Design novel, challenging tasks in computational genomics and bioinformatics that test advanced AI agent capabilities.
• Develop realistic, multi-step workflows involving biological datasets such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, expression data, and sequence annotations.
• Create tasks requiring scientific judgment, including identifying data artifacts, handling ambiguity, selecting appropriate methods, and revising assumptions based on intermediate results.
• Prepare task specifications, input datasets, expected output schemas, and objectively verifiable ground truths.
• Develop expert reference solutions and reproducible computational workflows using Python, command-line tools, and bioinformatics libraries.
• Validate scientific accuracy, solvability, and challenge level for advanced AI models.
• Design robust grading criteria distinguishing scientifically correct solutions from superficially plausible outputs.
• Ensure deliverables are reproducible, well documented, and suitable for client review.
• Incorporate reviewer feedback while maintaining high standards for quality and throughput.
• Communicate progress, blockers, and scientific or technical requirements to project leads and reviewers.

Research Analyst jobs in Indonesia

Scientific Python Research Specialist – Life Sciences

Bioinformatics Research Specialist, Python – AI