Data Scientist developing statistical and machine learning models for prediction and classification at Minsait. Collaborating on big data insights and data pipeline solutions.
About the role
- Senior Data Scientist at Future Evidence Foundation, developing AI solutions for health and science research. Collaborate within a team to lead innovations in systematic reviews.
Responsibilities
- Reporting to the CTO and responsible for discovering, developing and deploying solutions to accelerate the systematic review workflow.
- Collaborate with the product and engineering team to identify areas for automation and improvement.
- Design and develop state-of-the-art NLP algorithms, optimizing for cost, latency, and accuracy.
- Analyze data and conduct experiments to improve the accuracy and efficiency of model.
- Build and deploy models that can be integrated into production applications.
- Evaluate emerging LLM tools and frameworks to maintain a competitive edge in research automation.
Requirements
- Strong problem-solving skills with a data-driven mindset for complex research challenges.
- Deep hands-on experience developing LLM solutions, including prompt engineering, fine-tuning, and multi-modal API integration from different providers.
- Experience in LLM evaluation and benchmarking, specifically using robust and efficient frameworks to quantify model performance and factual consistency.
- Strong programming skills in Python with experience in deploying ML/LLM models to production applications.
- Experience with NLP techniques and tools for semantic analysis and information extraction.
- Experience in building Retrieval Augmented Generation (RAG) pipelines using vector Databases (e.g. Milvus, Pinecone, or Chroma) and efficient retrieval strategies.
- Experience with data visualization tools and common database technologies.
- Knowledge of medical and/or scientific terminologies and ontologies.
Benefits
- Competitive salaries relevant to your experience level, reviewed twice yearly
- Remote team so you can live and work in Australia or NZ, as long as you can offer at least a 4-hour workday crossover with the AEST time zone
- Work week flexibility - Full time, part time or explore a flexible arrangement with us that best suits you and us
- Gifted time off between Christmas and New Years
- Support for parents with 14 weeks paid primary carers leave and 8 weeks paid leave for partners, available after only 6 months tenure
- Access to wellbeing services & programs to support your wellbeing
- A knowledge allowance and time so you keep learning and developing
- Monthly home allowance to set up and run your home office.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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