Intern - CFO - IT
Core
Intern supporting high-impact projects in Research & Development and PDM/Tech Ops using advanced analytics, data science, and AI/ML.
Role type
Intern, AI/ML & Data Engineering
Builds
Scientific and business applications, data pipelines, ETL processes, dashboards
Domain
Life Sciences / Biotech / Enterprise Data & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, R, Databricks, Tableau, Power BI, Linux, CI/CD, job scheduling, data cleaning, statistical analysis, data visualization
Preferred skills
Biology, chemistry, or scientific domain knowledge, cloud platforms, problem-solving, independent and team collaboration
Technologies
Python, SQL, R, Databricks, Tableau, Power BI, Linux, CI/CD tools, Slurm, Microsoft Office
Responsibilities
Collaborate with Agile teams to understand requirements for R&D and PDM/Tech Ops applications; Support research data science and advanced analytics use cases, including AI/ML and GenAI projects; Assist in the development, deployment, and integration of scientific and business applications into HPC and cloud environments; Build and maintain data pipelines and ETL processes for large-scale data sets; Conduct data cleaning, transformation, and analysis using statistical and machine learning techniques; Develop data visualizations and dashboards to communicate insights; Integrate Data & Analytics workflows from other platforms with enterprise environments; Contribute to solution documentation and present work at the end of the internship
Seniority
Intern