Top Data & Analytics Jobs

The Associate Quality Control Analyst conducts testing on various biological samples and finished products to ensure compliance with Good Manufacturing Practices. Responsibilities include analyzing samples, preparing lab solutions, and maintaining equipment while adhering to documentation and safety protocols.

The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.

The Senior Scientist in Bioinformatics will develop and run computational pipelines for analyzing genomic and transcriptomic data, focusing on immune-related genes. Responsibilities include method development, benchmarking genotyping methods, data processing and analysis, maintaining bioinformatics workflows on AWS, and collaborating with software engineers to enhance data analysis capabilities.

As a Sr. Programmer Analyst, you will analyze user specifications for complex systems applications and develop programs to meet these needs. Responsibilities include writing application programs, bug fixing in Lawson, system administration, producing technical specifications, and testing programs after implementation.

As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.

The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.

As a Senior Data Analyst at NimbleRx, you will drive key business initiatives through actionable insights, coach non-technical functions to leverage data, mentor junior data analysts, and create sustainable data processes. Requires a Bachelor's Degree, 3+ years of experience, and proficiency in SQL, R, Python, and Excel.