Skip to content
Senior Data Scientist
| Company | Natera |
|---|
| Location | San Carlos, CA, USA |
|---|
| Salary | $125100 – $156350 |
|---|
| Type | Full-Time |
|---|
| Degrees | PhD |
|---|
| Experience Level | Senior |
|---|
Requirements
- 5+ years of experience in data science, machine learning, or data engineering in biotechnology, life sciences, operations research, or a related field
- Expertise in Python (including pandas, scikit-learn, TensorFlow/PyTorch)
- Expertise in SQL
- Proven ability to lead projects independently, drive process improvements, and influence decision-making through data-driven insights
- Experience in developing, implementing, and optimizing machine learning models and optimization algorithms in real-world applications
- Strong project management skills and experience producing reproducible, well-documented code
- Outstanding written and verbal communication skills, with the ability to translate complex data insights into actionable business recommendations
Responsibilities
- Collaborate closely with R&D scientists to understand complex scientific and technical aspects of research project and deliver support to ensure product development timelines are met
- Lead the end-to-end development of data science projects, from problem definition to data strategy, to iterative development with stakeholders, to launch and maintenance of data pipelines, to communication of insights.
- Champion process improvements by identifying inefficiencies in R&D workflows and designing data-driven solutions to streamline operations.
- Design and implement machine learning models and optimization algorithms to improve workflows, automate processes, and drive operational efficiencies.
- Partner with data engineers to implement process improvements derived from analytics insights and to integrate predictive analytics into production systems and ensure reliability and integrity of data sources.
- Present findings from data in a narrative that is clear and easily digestible by various stakeholders regardless of their background in data analysis (e.g. easy to understand metrics, strong presentation skills, ability to think on your feet to respond to questions)
- Establish and promote best practices for data governance, version control, and reproducibility in analytics workflows.
Preferred Qualifications
- PhD in molecular biology, biochemistry, bioinformatics, operations research or a related field
- Expertise with the Python data science ecosystem
- Strong data visualization skills
- Experience with Snowflake
- Experience with dbt
- Proficiency in Linux environment
