Informacje o stanowisku

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology
• Exposure and hands on experience in the development of modern cloud data solutions
• Ability to deliver proof of concept solutions and chance to experiment with different technologies
• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists and stakeholders from different business domains  

• 3+ years with hands-on experience with data science and/or advanced analytics projects.
• Master degree in a quantitative field (e.g. physics, mathematics, computer science, bioinformatics).
• Expert knowledge on supervised and unsupervised machine learning techniques.
• Well-versed in R, Python and in using common machine learning libraries (e.g., sklearn, keras/tensorflow, PYMC3, statsmodels, etc.). Programming in Spark would be a plus.
• Solid understanding of statistics and time-series analysis: Bayesian inference, ARIMA, MCMC, etc.
• Experience with Large Language Models and their pipelines would be a plus.
• Hands-on experience in any of the following areas would be a plus: anomaly detection, IoT analytics, real-time/streaming analytics, variant identification in NGS runs, RNAseq, ATACseq, and Metagenomics.
• Experience with big data ecosystems and common ETL processes. Optional: Experience with the Azure tool stack.
• Experience in stakeholder interaction: understanding needs from technical and non-technical key-stakeholders and translation into analytical solutions.
• Knowledge of professional software development practices and using tools for source control and project management like Git, Azure Dev Ops etc.
• Technologies we use: Azure Databricks / Azure DevOps / OpenAI / VS Code / PowerBI / Azure Machine Learning / Azure AI Studio / sklearn / MLflow  

What we offer:

• Deep understanding of the domain knowledge in the field of molecular biology
• Exposure and hands on experience in the development of modern cloud data solutions
• Ability to deliver proof of concept solutions and chance to experiment with different technologies
• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists and stakeholders from different business domains  

,[ Data analysis: Collect, clean, and analyze large datasets to identify patterns and trends , Modeling: Develop predictive models and algorithms to solve complex business problems ranging from a variety of ML fields , Communication: Communicate findings and insights to stakeholders in a clear and concise manner, gather requirements on further adoptions and future work. , Converting data into insights     Requirements: Azure, Big Data, ETL, Data science, Data analysis, Machine Learning, R, Python, Spark, Large Language Models Tools: . Additionally: Sport subscription, International projects, Training budget, Private healthcare, Flat structure, Cafeteria system, Multisport card, Insurance, Friendly atmosphere, Integration events, Free coffee, Gym, Bike parking, Playroom, Free beverages, Modern office, No dress code.

Praca Wrocław

Wrocław - Oferty pracy w okolicznych lokalizacjach