Principal Data Scientist

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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.

Relocation benefits are not being offered for this role.

Who You Are

Required

• You have a PhD in Computer Science, Data Science, Engineering, Computational Biology, Statistics or other related areas of study and 5 years (or more) of experience handling various data sets/modules.

• You have 2 years of related experience outside of an academic setting; preferably in the life sciences/medical device space.

• You are able to define and lead analysis projects interfacing with multiple stakeholders.

• You have demonstrated experience handling large datasets, with demonstrated ability of transferring the data into meaningful and actionable reports.

• You have a strong statistical analysis background.

• You have a demonstrated level of experience in a wide range of ML algorithms (traditional to advanced) and a strong understanding of the principles behind model training, validation and hyperparameter tuning.

• You have practical experience in designing and implementing automated workflows; the ability to troubleshoot/map out a solution.

• You have experience with genome sequencing data from multiple technologies; you have experience using machine learning to solve biological problems.

• You are proficient in various programming tools, e.g. Python, R, Java,

C.

Preferred

• You have strong verbal and written communication skills.

• You are a team player known for your fanatical attention to detail at scale in a fast-paced environment.

• You have a proven track record in presenting and publishing scientific articles.

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…