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MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world's leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.
Job Location: Helios (Biopolis)
Job Summary
The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.
Roles and Responsibilities
Desired Skills and Competencies
This position is based in Singapore.
We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.
Job ID: 147291001
Skills:
data wrangling , Machine Learning, Python, Sql, feature development, Optimization, Statistical Modeling, exploratory analysis
Skills:
Java, Machine Learning, Neural Networks, Decision Trees, Microsoft Azure, Python, Logistic Regression, AWS, heuristic models, model optimization techniques, cloud platforms, Ai, hyper-parameter tuning, predictive modelling algorithms, R, model validation, ETL processes, dynamic simulation models, digital twins, feature selection
Skills:
Machine Learning, Hadoop, Sql, Deep Learning, Tensorflow, Pytorch, Gcp, Spark, Azure, Python, AWS, Generative AI, RAG system, prompting engineering, cloud-based AI deployment, distributed computing frameworks, reinforcement learning, LLM fine-tune evaluation, Agentic AI MCP, cloud data platforms, AIML GenAI frameworks
Skills:
regression models , Machine Learning, Natural Language Processing, Python, Generative AI, R, Cloud techniques, Classification models, Cluster models
Skills:
Github, Machine Learning, Hadoop, Power Bi, Sql, Hive, Gcp, Bitbucket, Spark, Statistical Modelling, Gitlab, Databricks, Azure, Python, AWS, Airflow, Generative AI, LLMs, MLflow
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