Cientista de dados at F. Hoffmann-La Roche AG
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About the role
Roche Sequencing Solutions is expanding with a Principal Data Scientist to lead and help drive forward R&D activity by providing a deep level of insight into experimental data, its interpretation, and implications for project development efforts. This role seeks a highly advanced and versatile individual who combines deep statistical expertise with proficiency in advanced data analysis tools and a focus on applying these skills to complex biological problems.
- Analyze large datasets, identify patterns, correlations, and anomalies that might be hidden within the data. Use statistical methods and machine learning algorithms to extract meaningful insights.
- Apply experience with DOE for biological and assay development experiments, drawing meaningful conclusions on small sample sizes.
- Provide statistical analysis of experimental results and communicate it to internal customers in an approachable and informative way.
- Work cross-functionally using pilot studies to integrate analytical or inferential routines into a pipeline through collaborative software engineering, resulting in a validated internal software product used regularly by experimentalists.
- Utilize AI-based tools for data analysis and create AI-based support tools for internal customers.
- Create clear and informative visualizations of data and analysis results for both technical and non-technical teams.
- Identify technical challenges, define requirements, and architect next-generation machine learning and statistical analysis products.
This position is based on-site in Santa Clara, CA. Relocation benefits are not being offered for this role.
Requirements
- PhD in Statistics, Data Science, Computer Science, Engineering, or other related areas of study and 5+ years of experience handling various data sets/modules.
- Ability to define and lead analysis projects interfacing with multiple stakeholders.
- Demonstrated experience handling large datasets and transforming data into meaningful, actionable reports.
- Experience applying statistical methods for process control and optimization (e.g., Statistical Process Control, A/B testing design/analysis, or advanced time series modeling) in a non-biological context.
- Demonstrated experience with a wide range of ML algorithms (traditional to advanced) and a strong understanding of model training, validation, and hyperparameter tuning.
- Practical experience designing and implementing automated workflows; ability to troubleshoot and map out solutions.
- Experience with genome sequencing data from multiple technologies and using machine learning to solve biological problems.
- Proficiency in programming tools such as Python, R, Java, or C++.
Preferred Qualifications
- Strong verbal and written communication skills.
- Team player with fanatical attention to detail at scale in a fast-paced environment.
Pay
The expected salary range for this position based on the primary location of Santa Clara, CA is $128,000 - $282,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Benefits
This position qualifies for the benefits detailed at the provided link.
About Roche
A healthier future drives us to innovate. Together, over 100,000 employees across the globe are dedicated to advancing science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high to deliver life-changing healthcare solutions that make a global impact.