-
Summary: Drive business decisions by delivering both quantitative and qualitative data analysis, reporting patterns, insights, and trends to stakeholders. Collect, aggregate, and analyze data from multiple
-
AWS (Glue, S3, EC2) Experience with different versions of Microsoft SQL Server (T-SQL) Development experience with Python (Pandas, Boto3, PySpark) Experience with version control systems (Git) Ability
-
quantitative data and interpret results; integrate and consolidate data from multiple datasets; design and implement processes to validate findings; engage with clinical and lab-based researchers for data
-
outlined in the position description. Preferences Preferences: Preferred candidates will have:Proficiency with at least one programming language commonly used in data science (e.g., R or Python
-
skills: Strong programming skills in both C++ and Python, with hands-on experience using machine learning frameworks like TensorFlow and PyTorch. Software development proficiency: Capable of writing well