Research Scientist (Remote)

Title:

Research Scientist (Remote) Engagement:

Hourly contract (independent contractor) Rate:

USD 55-104/hour

Job Summary Join our customer’s team as a Biochemist & Biophysicist AI Trainer, where your expertise in molecular and structural biology will directly shape the development of advanced AI models. This role focuses on bridging cutting-edge life sciences with artificial intelligence, ensuring scientific datasets and AI outputs are accurate, relevant, and actionable for research and industrial applications.

Key Responsibilities Collaborate with interdisciplinary teams to design AI training workflows focused on biochemistry, biophysics, and molecular biology. Curate, annotate, and validate large-scale scientific datasets to enhance AI learning and model accuracy. Evaluate AI model performance, providing critical feedback and domain-specific insights for continuous improvement. Develop problem sets, scenarios, and use cases to effectively train and test AI systems in life sciences. Document training methodologies and communicate findings to both technical and non-technical stakeholders. Stay updated on computational methods, AI advancements, and emerging trends in biochemistry and biophysics. Mentor internal contributors and facilitate knowledge transfer on best practices for scientific AI model training.

Required Skills and Qualifications Advanced degree (Master’s or PhD) in Biochemistry, Biophysics, or a closely related field. Proven expertise in molecular biology, structural biology, or physical biochemistry. Experience in data curation, annotation, and analysis within scientific research contexts. Strong written and verbal communication skills with the ability to report scientific findings clearly. Proficiency with computational tools and familiarity with AI or machine learning concepts. Ability to work autonomously in a fully remote environment. Collaborative mindset with meticulous attention to detail.

Preferred Qualifications Hands-on experience with AI training, large language models (LLMs), or natural language processing in life sciences. Background in interdisciplinary project management or scientific communication. Prior experience mentoring or teaching in academic or industry settings.

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