Lead Data Scientist
Roche Sequencing Solutions is seeking a Principal Data Scientist to lead research and development activities by providing deep insights into experimental data and driving analytical innovation. This role involves synthesizing complex data, developing AI-driven analysis tools, and collaborating cross-functionally to transform experimental data into actionable insights. The ideal candidate will have a strong background in statistical analysis, machine learning, and genome sequencing data, with the ability to create scalable, reproducible workflows and communicate findings effectively to technical and non-technical stakeholders. Based in Santa Clara, CA, this position offers an exciting opportunity to contribute to cutting-edge healthcare solutions in a supportive and inclusive environment.
Application accepted until position is filled
Requirements
1. PhD in Computer Science, Data Science, Engineering, Computational Biology, Statistics, or related field
2. Minimum 5 years handling diverse data sets; 2+ years industry experience in life sciences or medical devices
3. Proven ability to lead analysis projects and collaborate with multiple stakeholders
4. Expertise with large datasets, statistical analysis, and machine learning algorithms
5. Experience designing and implementing automated workflows and troubleshooting solutions
6. Proficiency in programming languages including Python, R, Java, and C++
7. Familiarity with genome sequencing data and applying ML to biological problems
8. Strong verbal and written communication skills (preferred)
9. Track record of scientific publishing and presentation (preferred)
Benefits
1. Competitive salary based on experience and location
2. Discretionary annual bonus based on individual and company performance
3. Inclusive workplace culture supporting personal expression and professional growth
4. Opportunity to work with leading-edge technology and contribute to impactful healthcare innovations
Responsibilities
1. Lead R&D efforts by analyzing and interpreting experimental data to inform project development
2. Develop AI-based tools and integrate machine learning workflows into analytical pipelines
3. Collaborate cross-functionally to build validated software products for research tracking
4. Identify data patterns, correlations, and anomalies using statistical and ML methods
5. Create clear visualizations for both technical and non-technical audiences
6. Define technical requirements for next-generation ML and statistical analysis products
7. Ensure scalability and reproducibility of data analysis processes
The application process will continue on the employer's website.
Location
Santa Clara, California, United States of America