POSITION SUMMARY: 

As a Data Scientist, Production Engineering, you will play a pivotal role in ensuring the seamless operation and optimization of data-driven solutions supporting various Natera’s products. Collaborating with lab operations, lab directors, product, data scientists, and assay development teams, your primary focus will be on utilizing SQL and statistical methods to analyze, interpret, and enhance the performance of Natera’s production assays.

This position offers a unique opportunity to contribute to the advancement of healthcare diagnostics through the application of data science methods, with a focus on supporting assays and ensuring the quality and reliability of assay data. If you are passionate about leveraging your technical expertise to make a meaningful impact in healthcare, we invite you to join our dynamic team.

PRIMARY RESPONSIBILITIES: 

Production Support

• Collaborate and interface with Lab Operations and Product teams to identify process issues, and assist with thorough root cause analysis, and product support.
• Provide data-backed analysis quickly to Lab Operations to unblock production issues and improve patient results turnaround times.

Data Analysis and SQL

• Utilize SQL for data extraction, transformation, and analysis to support the interpretation of assay results.
• Collaborate with data scientists to perform statistical analysis on assay data, providing insights for continuous improvement.

Data Quality Assurance

• Implement measures to ensure the quality and integrity of data used in assays.
• Work closely with assay development teams to troubleshoot and address data-related issues.

Statistical Modeling

• Build anomaly detection models that monitor process metrics for deviations in product performance.
• Apply statistical models to analyze and interpret data generated from assays.
• Collaborate with data scientists to develop and refine statistical models for predictive analytics.

Collaboration with Assay Development Teams

• Work closely with assay development teams to understand the scientific and technical aspects of assays.
• Provide data-driven insights to optimize and improve the performance of assays.

Query Optimization and Performance

• Optimize SQL queries for efficient data retrieval and analysis, ensuring timely and accurate results.
• Collaborate with database administrators to enhance database performance.

Documentation and Training

• Document processes, methodologies, and best practices for supporting assays and conducting data analysis.
• Provide training to relevant teams on utilizing SQL and statistical methods.

QUALIFICATIONS: 

Requirements

• Bachelor’s degree in statistics, engineering, computer science or equivalent (Master’s degree preferred)
• 2+ years of experience in data analysis and modeling
• 2+ years of experience using Python/R for data analysis
• 2+ years of experience with a database query language such as SQL
• Solid understanding of various statistical concepts (parametric & non-parametric distributions, hypothesis testing, probability, regression), and machine learning
• Effective communication skills for technical and non-technical audiences and the ability to collaborate with cross-functional teams.
• Ability to initiate and drive projects to completion with minimal guidance

Desirable but not required

• Experience with project management tools such as JIRA
• Experience using data visualization tools such as Tableau
• AWS or other cloud infrastructure experience
• Experience with version control systems such as GitHub, GitLab, etc. 

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Desire to learn about human genetics and sequencing technologies
• Knowledge of data science product lifecycle
• Project Management experience