Biological / Chemistry Subject Matter Exper (Master/Phd)

buscojobs Brasil; Paraná; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A global data engineering leader is seeking a Subject Matter Expert in Biological and Biomedical Sciences/Chemistry in Brazil. The role involves developing scientifically accurate datasets, producing high-quality scientific content, and validating AI-generated outputs. Candidates should have an advanced degree in a relevant field and strong expertise in laboratory research and scientific writing. This position offers the opportunity to contribute to the training of AI systems in life sciences and chemical sciences.

Qualificações

• 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.

Responsabilidades

• Develop scientifically accurate datasets in Molecular Biology, Biochemistry, and Genetics.
• Produce high-quality scientific content including research abstracts and technical white papers.
• Validate AI-generated outputs for accuracy and compliance with scientific standards.
• Collaborate with AI engineers and data scientists to optimize model reasoning.

Descrição da oferta de emprego

Overview

Biological / Chemistry Subject Matter Expert (Master/PhD)

Job Title: Biological & Biomedical Sciences / Chemistry Subject Matter Expert – AI Training & Content Development

About Innodata: Innodata (NASDAQ: INOD) is a global leader in data engineering and AI-powered technology solutions, trusted by 2,000+ enterprise customers worldwide, including 4 of the top 5 global technology companies. With operations in 13 cities and a workforce of over 5,000 experts across the United States, Canada, the UK, the Philippines, India, Sri Lanka, Israel, and Germany, Innodata leads in artificial intelligence (AI), natural language processing (NLP), and large language model (LLM) innovation.

We combine cutting-edge ML/AI technologies, deep scientific expertise, and high-security infrastructure to deliver next-generation solutions for industries spanning pharma, life sciences, healthcare, technology, finance, and law.

About the Role: We are seeking Subject Matter Experts (SMEs) in Biological & Biomedical Sciences and Chemistry to join our AI/ML model training and content development team. You will curate, validate, and create domain-specific content that improves AI reasoning, knowledge representation, and performance in life sciences and chemical sciences. You will contribute to training of advanced LLMs and scientific AI systems by developing datasets, reviewing model outputs, and ensuring alignment with scientific accuracy, regulatory compliance, and ethical standards.

Key Responsibilities

• Develop scientifically accurate, domain-rich datasets in:
• Molecular Biology, Biochemistry, and Genetics
• Pharmacology and Biomedical Engineering
• Cell and Developmental Biology, Immunology, Microbiology
• Biotechnology, Toxicology, and Chemical Engineering
• Produce high-quality scientific content, including research abstracts and technical white papers; standard operating procedures (SOPs); analytical chemistry workflows and chemical reaction mechanisms; biomedical case studies, drug development datasets, and molecular pathway analyses
• 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

Additional Information: Selected candidates must complete an English Language Assessment. This is a mandatory and non-billable step.