Remote Drug Discovery Scientist — AI Research & Evaluation

Synthires; United States; Remote; USD 83,000 - 124,000; Full time

Benefits offered by this job

Fully remote

20 h/w minimum

40 h/w maximum

Claude Max subscription reimbursed

Job summary

Synthires is seeking experienced Drug Discovery Scientists to contribute to an AI research and evaluation project in pharmaceutical R&D. You will design realistic, evidence-driven drug discovery problems requiring AI models to reason through incomplete or indirect scientific data.

You will create research prompts, build data rooms from real source-grounded information, develop grading rubrics, and validate tasks for reproducibility, rigor, and defensibility while working remotely for at least 20

Qualifications

• Strong understanding of drug discovery research methodologies and scientific evidence evaluation.
• Ability to construct complex scientific problems with defensible conclusions.
• Strong analytical and critical-thinking skills.
• Ability to evaluate scientific reasoning quality, not simply final answers.
• Strong scientific writing and documentation skills.
• Comfortable working independently in a remote research environment.
• Ability to commit at least 20 hours per week.

Responsibilities

• Design challenging, realistic drug discovery research problems based on authentic scientific workflows.
• Develop research scenarios where the correct conclusion must be derived from multiple pieces of evidence rather than directly stated.
• Build comprehensive data rooms using real, source-grounded scientific data and documentation.
• Ensure every decisive scientific value and piece of evidence can be traced back to a reliable source.
• Create detailed grading documents and evaluation rubrics that assess scientific reasoning and substantive conclusions.
• Evaluate AI-generated research outputs for scientific accuracy, logical consistency, and defensibility.
• Run verification and calibration processes to ensure tasks are reproducible, appropriately difficult, and objectively scorable.
• Identify weaknesses in task design, evidence, or evaluation criteria and revise them accordingly.
• Provide expert judgment on scientific questions, task difficulty, and the quality of AI reasoning.
• Collaborate with project reviewers and other domain experts to refine research tasks.

Skills

Mechanistic enzymology

Structure-guided peptide design

Structure-guided antibody design

Fragment-based drug discovery

Structure-based medicinal chemistry

Drug discovery methodologies

Scientific evidence evaluation

Analytical thinking

Critical thinking

Scientific writing

Education

PhD or equivalent industry experience

Tools

Open-source tooling

Computational workflows

Job description

Synthires is seeking experienced Drug Discovery Scientists to contribute to an AI research and evaluation project in pharmaceutical R&D. You will design realistic, evidence-driven drug discovery problems requiring AI models to reason through incomplete or indirect scientific data.

You will create research prompts, build data rooms from real source-grounded information, develop grading rubrics, and validate tasks for reproducibility, rigor, and defensibility while working remotely for at least 20