What are the responsibilities and job description for the Data Scientist position at Roche?
The Data Scientist has a proven ability to analyze complex problems using data and to provide insight to decision-makers. Key responsibilities include accessing data from various sources, building data visualizations and dashboards, interpreting data using statistics, and creating reports that drive critical product improvements and business decisions. The Data Scientist works closely with cross-functional groups to identify process and system performance parameters, design and create methods to extract data, and independently produce reports using appropriate methods. They will develop, maintain and improve processes, tools and reports as needed. This role interfaces and collaborates with scientific and engineering teams for product development, operations and commercial activities.
Your key responsibilities
Impacts business objectives by conducting data analysis and providing recommendations that impact the direction of strategic and tactical plans
Creates new data interrogation approaches and works with large and complex data sets
Identifies the bottlenecks of data processing and analysis, proposes and implements solutions such as automating data pipelines and analyses and optimizing database queries
Applies the scientific method to generate and test hypotheses using data
Applies cutting edge data science concepts from machine learning and deep learning to solve challenging problems
Uses tools to aggregate, transform and process data sources to be used for analysis
Develops understanding of data structures and metrics as they relate to product performance and manufacturing
Creates analyses that integrate information from diverse product elements such as manufacturing processes, materials, device design, sensors, protocols, and instrument software
Creates visual representations of data to communicate complex ideas and relationships
Communicates results clearly and effectively with reports and presentations through visual displays of quantitative information and articulate interpretations and conclusion.
Who you are
B.S./M.S./PhD. degree; life science, biochemistry, molecular biology, computational biology, bioengineering, data science, data engineering, or information technology. Knowledge or experience in molecular biology and medical diagnostics, preferred.
Data analytics experience in life sciences, healthcare, engineering or related field.
Hands-on programming experience with Python or R—including creating functions, classes, and transporting code from exploratory drafts into packages or scripts.
Hands-on programming experience with SQL for acquiring and transforming data (Snowflake experience is a plus)
Experience in data extraction, mining, cleaning, and summarizing.
Experience in querying and manipulating large data sets using data querying languages (e.g. SQL), scripting languages (e.g. Python), and utilizing statistical/mathematical software (e.g. Python, R)
Demonstrated understanding of statistics and probability fundamentals.
Experience with data visualization technologies such as Spotfire, Tableau, Shiny, or Dash
Experience with open source tools for data analysis, deep learning and machine learning technology such as pandas, scipy, scikit-learn, Keras, and/or tensorflow, preferred.
Good software craftsmanship practices, strong documentation skills, and code version control
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
Roche is an Equal Opportunity Employer.
Job Level:
Individual contributor
