AI Research Scientist

• Investigate the capabilities, limitations, and training methods of frontier AI systems
• Formulate research questions that inform AI products, platforms, and technical strategy
• Explore synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation
• Stay current with advances in machine learning and identify opportunities for technical contributions
• Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks
• Train, test, and evaluate models using modern AI and machine learning tools
• Analyze experimental results and develop evidence-based conclusions
• Establish practices for data quality, reproducibility, experimental design, and evaluation
• Iterate from research hypotheses to validated technical insights
• Collaborate with Research, Engineering, Product, and Operations teams to translate findings into practical applications
• Communicate technical findings to specialized and cross-functional audiences
• Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate
• Mentor engineers and researchers and contribute to technical discussions and peer review

Staff Research Engineer – AI & Machine Learning

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role Overview
We are looking for experienced Life Sciences researchers and subject-matter experts to create advanced scientific reasoning tasks for an AI evaluation benchmark focused on biology and related disciplines.
This is a non-coding research role. The work centers on designing rigorous, self-contained scientific problems based on realistic experiments, biological data, figures, sequences, structures, literature-style evidence, and research scenarios. The goal is to create tasks that test whether AI systems can genuinely interpret evidence, reason scientifically, and synthesize information, rather than simply recall facts.
Relevant backgrounds include Molecular Biology, Genetics & Genomics, Cell Biology, Biochemistry, Neuroscience, Microbiology, Immunology, Evolutionary Biology, Ecology, Structural Biology, Biophysics, Developmental Biology, Cancer Biology, Pharmacology, and related fields.

CONTRACT: Contractor assignment, 6 weeks
COMMITMENT: Hourly, up to 40h/week
LOCATIONS: Remote - Argentina, Bangladesh, Brazil, Colombia, Egypt, Nigeria , Ghana, India, Indonesia, Turkey, Vietnam, Kenya, Pakistan, Chile, Peru, Sri Lanka, Saudi Arabia, Nepal, Mexico
PROCESS: Application form -> 60 min online test (analyzing biochemical measurements and distinguishing among mechanistic defects in enzyme variants)

Key Responsibilities

- Design challenging life-sciences reasoning problems for AI evaluation. 

- Create tasks based on realistic experiments, biological datasets, figures, sequences, structures, and scientific evidence. 

- Write questions with clear, objectively defensible answers. 

- Develop rigorous expert reference answers explaining the required scientific reasoning. 

- Ensure tasks test interpretation and synthesis, not simple factual recall. 

- Validate biological claims, calculations, assumptions, and conclusions. 

- Identify ambiguity, alternative valid interpretations, and poorly constrained questions. 

- Build tasks that meaningfully differentiate advanced AI models based on scientific reasoning ability. 

- Incorporate reviewer feedback while maintaining high quality and throughput. 

- Document tasks clearly and reproducibly where applicable.

AI Research Scientist jobs in Ghana

Staff Research Engineer – AI & Machine Learning

Life Sciences Researcher (AI Evaluation)