Data Scientist

Job Description:

We are seeking a Data Scientist with experience in data analysis, visualization, and pipeline development. The ideal candidate will have a strong background in Python and be comfortable working with multimodal data. The role involves analyzing data from various sources, including JSON files, image files, text output, and CSV files, and creating visualizations to identify optimal conditions and results.

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.