Scientific Content Developer

We are seeking a Scientific Content Developer to join our AI/ML model training and content development team.

• Develop scientifically accurate, domain-rich datasets in Molecular Biology, Biochemistry, Genetics, Pharmacology, Biomedical Engineering Chemistry (Organic, Inorganic, Physical, Analytical, Computational) Cell and Developmental Biology, Immunology, Microbiology Biotechnology, Toxicology, and Chemical Engineering

The ideal candidate will have a strong background in laboratory research, computational modeling, bioinformatics, or chemical analysis and experience in scientific writing, peer-reviewed publication, or technical documentation.

Key Responsibilities:

• Curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences and chemical sciences.
• Produce high-quality scientific content, including Research abstracts and technical white papers Experimental design summaries Standard operating procedures (SOPs) Analytical chemistry workflows and chemical reaction mechanisms Biomedical case studies, drug development datasets, and molecular pathway analyses

AI Model Evaluation & Data Refinement:

• Validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards.
• Identify and correct conceptual errors, dataset biases, or incomplete knowledge representations.
• Contribute to knowledge graph development and ontology engineering for biological and chemical datasets.

Cross-Disciplinary Collaboration:

• Collaborate with AI engineers, data scientists, and computational chemists to optimize model reasoning.
• Support the creation of adversarial testing datasets for LLMs in biomedical and chemical domains.
• Participate in R&D discussions to enhance AI performance in drug discovery, materials science, and biomedical research applications.

Eligibility Criteria:

• Advanced degree required: Master's, PhD, or equivalent in Biology, Biomedical Sciences, Chemistry, Biochemistry, Molecular Biology, Chemical Engineering, or a related field.
• Strong expertise in laboratory research, computational modeling, bioinformatics, or chemical analysis.
• Proven experience in scientific writing, peer-reviewed publication, or technical documentation.
• Familiarity with regulatory frameworks, laboratory safety, and ethical research guidelines.
• Preferred experience with Computational chemistry, cheminformatics, or molecular modeling software Bioinformatics pipelines, omics data analysis, and high-throughput screening methodologies.

This role is ideal for individuals who are passionate about contributing to cutting-edge AI technology and improving AI performance in life sciences and chemical sciences.

Required Skills and Qualifications:

• Master's or PhD degree in Biology, Biomedical Sciences, Chemistry, Biochemistry, Molecular Biology, Chemical Engineering, or a related field.
• Expertise in laboratory research, computational modeling, bioinformatics, or chemical analysis.
• Strong experience in scientific writing, peer-reviewed publication, or technical documentation.

Benefits include:

• A dynamic work environment with opportunities for professional growth and development.
• Collaborative team atmosphere with experienced professionals in AI and life sciences.
• Competitive compensation and benefits package.

This role offers a unique opportunity to contribute to the advancement of AI technology and improve AI performance in life sciences and chemical sciences. If you are passionate about scientific content development and want to be part of a dynamic team, apply today