Pharma R&D AI Trainer & Digital Workspace Architect

Obsidian

Houston (TX)

Hybrid

USD 12,834 - 16,182

Full time

14 days+

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Benefits offered by this job

Competitive pay based on task quality
Performance bonuses for top performers
Potential transition to hourly compensation

Job summary

Obsidian is seeking experienced professionals to build realistic enterprise environments for AI training on Project Atlas. You will leverage your expertise from pharma and biotech to create high-fidelity environments simulating regulated enterprise workflows.

Ideal candidates hold a PhD or equivalent with at least 3 years of industry experience, particularly in drug discovery, clinical development, or regulatory affairs, and are proficient in tools such as Medidata Rave and Schrödinger Suite.

Qualifications

  • PhD / MD / PharmD or MS with deep experience; industry fellowship training a plus.
  • 3+ years of full‑time experience at a Fortune 500 pharma / biotech or top academic / translational research center.
  • Background in target ID, drug discovery, preclinical research, biotech R&D, clinical development, or regulatory affairs.

Responsibilities

  • Build a realistic digital workspace centered on daily used documents.
  • Design multi-step tasks that reflect real workflows.
  • Collaborate with pharma and biotech experts to refine tasks.

Skills

Analytical thinking
Writing skills
Knowledge of drug discovery

Education

PhD / MD / PharmD or MS

Tools

Medidata Rave
Oracle Clinical One
Schrödinger Suite
Benchling

Job description

Obsidian is seeking experienced professionals to build realistic enterprise environments for AI training on Project Atlas. You will leverage your expertise from pharma and biotech to create high-fidelity environments simulating regulated enterprise workflows.

Ideal candidates hold a PhD or equivalent with at least 3 years of industry experience, particularly in drug discovery, clinical development, or regulatory affairs, and are proficient in tools such as Medidata Rave and Schrödinger Suite.

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