Data Science Expert in Medical Innovation

6 days ago

San Carlos, California, United States Natera Full time

Natera, a global leader in cell-free DNA testing, is seeking an experienced Data Scientist to join our team. As a key member of our medical innovation department, you will lead the design and implementation of advanced data science models that support lab operations, billing, sales, revenue cycle management, and customer experience strategies.

Responsibilities:

  • Develop predictive analytics, machine learning models, and AI-powered applications to enhance patient experience, optimize billing processes, and support strategic decision-making.
  • Collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to identify and prioritize data science projects that align with business objectives.
  • Utilize Gen AI tools and frameworks to build scalable and customized solutions that address complex business challenges in the healthcare domain.
  • Work closely with the data engineering team to ensure efficient data pipelines and integration with existing systems. Proficiency in leveraging cloud services such as Snowflake Data Cloud, AWS, and GCP is highly valued.
  • Implement and maintain a robust data governance framework to ensure data quality, accuracy, and compliance with industry standards and regulations.
  • Mentor junior team members and provide technical leadership to foster a culture of collaboration, continuous learning, and innovation.
  • Present findings and model performance metrics to stakeholders and executive teams in a clear, concise, and actionable manner, showcasing the impact of projects on business objectives.

Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. PhD is a plus.
  • 7+ years of experience in data science, with at least 3 years working in the medical or healthcare industry.
  • Proven experience with medical billing systems, claims lifecycle management, and Laboratory Information Management Systems (LIMS) such as LabWorks or similar.
  • Strong expertise in developing machine learning models, predictive analytics, and AI-driven solutions tailored to healthcare datasets.
  • Knowledge of Snowflake, AWS, and GCP platforms is an added advantage.
  • Proficiency with programming languages and tools such as Python, R, SQL, and cloud-based machine learning platforms (e.g., AWS SageMaker).
  • Experience deploying Gen AI solutions, including NLP and deep learning models, for business applications.
  • Proficiency in using data visualization tools such as Power BI, Qlik, or Tableau to create dynamic, interactive reports.
  • Strong communication and leadership skills to guide teams and present complex data-driven insights in an actionable way.
  • Knowledge of agile project management methodologies and the ability to manage multiple priorities in a fast-paced environment.
  • Demonstrated leadership capabilities, with experience in mentoring and guiding data science teams.
  • Attention to detail and strong commitment to maintaining data integrity and quality.

Salary: $106,000 - $132,500

Benefits:

  • Competitive Benefits
  • Fertility Care Benefits
  • 401k Benefits
  • Commuter Benefits

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