Principal Data Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

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. Principal data scientists combine a number of skills from different domains to organize, process, and learn from data, often through the lens of domain-expert informed models that help to abstract concepts from the data, test their validity and make predictions.

The Opportunity

You will synthesize insights from the data and communicate it to internal customers in a way that is both approachable and informative.

• You will work cross functionally using various pilot studies to then integrate the necessary analytical or inferential routines into a pipeline through a collaborative software engineering effort; the overall goal resulting in a validated internal software product that may be used regularly by experimentalists to track their research progress.
• You will utilize AI based tools for data analysis and create AI based support tools for internal customers.
• You will ensure the scalability and reproducibility of analytical efforts by integrating machine learning workflows and statistical models.
• You will 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.
• You have the ability to create clear and informative visualizations of the data and analysis results, making it easier for the technical (and non technical) team(s) to understand the situation and make informed decisions.
• You are able to identify technical challenges as they pertain to your team as well as collaborating teams, definite requirements and architecture for next-generation machine learning and statistical analysis products.

This position is based in Santa Clara, CA. Relocation benefits are not being offered for this role.

Qualifications

Required Qualifications

Preferred Qualifications

The expected salary range for this position based on the primary location of Santa Clara, CA is $129,000 – $240,200. 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.

Who we are

A healthier future drives us to innovate. Together, more than 100,000 employees across the globe are dedicated to advance 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, so we can deliver life‑changing healthcare solutions that make a global impact. Let’s build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company’s policy prohibits unlawful discrimination, including but not limited to discrimination on the basis of protected veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form.

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