Data Scientist – Molecular Diagnostics

Are you looking for a long-term opportunity with a stable and innovative employer? At Sii, we offer an environment where you can grow professionally and develop your skills while enjoying the benefits of stable, long-term employment. We are currently seeking a Data Scientist for an exciting project with one of our prominent clients in the life sciences sector. This client is a global leader in molecular diagnostics, known for its groundbreaking work in next-generation sequencing, RNA sequencing, precision medicine, and genetic testing. Their innovations drive advances in healthcare, helping to improve diagnostics and treatments worldwide. The project begins in March or April and offers 100% remote work. Ready to take the next step in your career? Apply today and be part of something transformative!

Your tasks

• Designing, implementing, and optimizing machine learning models to solve complex business problems using technologies like Azure Machine Learning and sklearn
• Working with large datasets to perform data processing, feature engineering, and model deployment using tools such as Azure Databricks and MLflow
• Collaborating closely with business stakeholders to identify key insights and translate them into actionable solutions, leveraging PowerBI for visualizations
• Developing end-to-end analytical pipelines using modern cloud-based tools like Azure AI Studio and Azure DevOps, ensuring scalability and efficiency
• Continuously enhancing models by incorporating advanced analytics and machine learning techniques, ensuring the highest quality and performance with technologies like OpenAI and VS Code

• 3+ years of hands-on experience in data science and/or advanced analytics projects, with expertise in machine learning techniques
• Proficiency in R and Python, along with experience in common machine learning libraries like sklearn, Keras/Tensorflow, and statsmodels
• Experience with Azure Databricks for data processing and machine learning model deployment, and proficiency in Power BI for data visualization
• A strong foundation in statistics and time-series analysis, including Bayesian inference, ARIMA, and MCMC
• Fluency in English, both spoken and written, for effective communication in an international, remote team environment
• Residency in Poland is required

Nice-to-have requirements

• Experience with Large Language Models (LLMs) and their pipelines
• Knowledge of ETL processes and working with big data ecosystems
• Experience with Spark programming or managing the model lifecycle using tools like MLflow