Computational Life Sciences Expert | $35/hr Remote

Crossing Hurdles; Brasil; Vor Ort; BRL 150.000 - 210.000; Vollzeit

Zusammenfassung

Crossing Hurdles is seeking a highly skilled researcher to design and implement agentic workflows for life sciences problems. The role centers on multi‑step computational analyses and robust data handling to produce reproducible results.

The ideal candidate holds a PhD or equivalent research track and demonstrates strong Python programming, data validation, and capability to validate both reasoning and outputs across complex datasets.

Qualifikationen

• PhD, postdoctoral, or equivalent research experience in life sciences with computational and scientific‑programming experience.
• Strong programming experience, particularly in Python.
• Experience performing multi‑step computational scientific analyses.
• Ability to independently validate both scientific reasoning and computational outputs.
• Experience working with scientific datasets, computational tools, and reproducible research workflows.

Aufgaben

• Design challenging, realistic agentic scientific workflows across the life sciences.
• Create multi-step computational scientific tasks requiring AI agents to inspect data, select methods, execute analyses, troubleshoot problems, and synthesize results.
• Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
• Create reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria.

Kenntnisse

Computational analysis

Data validation

Reproducible workflows

Scientific programming

Ausbildung

PhD or postdoctoral experience in life sciences

Tools

Python

Jobbeschreibung

Commitment:

Full-time (40 hours/week), with at least 4 hours overlap during PST business hours

Role Responsibilities

• Design challenging, realistic agentic scientific workflows across the life sciences.
• Create multi-step computational scientific tasks requiring AI agents to inspect data, select methods, execute analyses, troubleshoot problems, and synthesize results.
• Develop realistic input files, scientific datasets, instructions, constraints, and expected deliverables.
• Create reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria.

Requirements

• Ph.D., postdoctoral, or equivalent research experience in the life sciences, with strong demonstrated computational and scientific-programming experience.
• Strong scientific programming experience, particularly in Python.
• Experience performing multi-step computational scientific analyses.
• Ability to independently validate both scientific reasoning and computational outputs.
• Experience working with scientific datasets, computational tools, and reproducible research workflows.