Data Scientist

Key Responsibilities:

• Analyze data from PCR data and other sources, including experimental data from test benches.
• Perform visual analysis using tools such as Seaborn and Matplotlib.
• Create scatter plots, box plots, and other visualizations to identify trends and optimal conditions.
• Work with various file formats and parse data using Python.
• Develop and maintain data pipelines to consolidate and analyze data from multiple instruments.
• Collaborate with the technical team to understand experimental plans and metadata.
• Perform basic statistical analysis and multivariable statistics as needed.
• Summarize experimental results and provide insights to the team.

Qualifications:

• Experience with Python and data visualization libraries (Seaborn, Matplotlib).
• Strong understanding of basic statistics and multivariable statistics.
• Familiarity with various file formats (JSON, CSV, image files, text output).
• Ability to connect with technical teams and understand experimental data.
• Experience in developing data pipelines and consolidating data from multiple sources.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.