Roche is recruiting for 5 Advanced Analytics- Data Science interns ranging from 3 month - 6 month depending on candidate's availability and business needs. Ideal candidates will begin internship in May 2020, however, flexibility in start/end dates can be accommodated.
Our interns will join various analytics teams across the organization and work on an innovative project applying advanced analytics and machine learning approaches to the company's real world (e.g. electronic medical records, insurance claims, medical transcripts), genomic, diagnostic, imaging and clinical trial data assets spanning multiple disease areas.
We are looking for individuals who are:
Creative problem solvers, quick learners and comfortable experimenting with new approaches
Demonstrate high productivity and enjoys dealing with ambiguity and applying novel methodologies
Possess entrepreneurship, passion and curiosity for understanding and interrogating complex data.
Responsibilities:
Collaborate with the host team and other stakeholders to evaluate potential machine learning techniques and applications
Design, build and interpret machine learning algorithms to address selected research questions (including preparing the input data)
Proactively share learnings and knowledge to support the development of the wider Roche Advanced Analytics community
Help shape the direction of machine learning and artificial intelligence within Roche
Experience and Competencies Preferred:
Knowledge of a wide range of machine learning techniques and applications
Experience applying machine learning algorithms and techniques, preferably to healthcare data
Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, HPC cluster computing, Docker)
Experience with imaging analysis would be beneficial
Fluency in statistical programming languages (R, Python, etc.)
Strong communication and collaboration skills
Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming
Demonstrated contributions to open source packages, libraries or functions
Qualifications:
Bachelors, Master's and PhD candidates or recent graduate in Data Science related field (e.g., Statistics, Mathematics, Epidemiology, Health Economics, Outcomes Research, Computer Science, health service research, statistics/biostatistics, EE/Biomedical Engineering or related disciplines )
Hands-on research experience involving study design, statistical analysis and machine learning techniques in the context of healthcare
Proficiency with R or Python and/or Matlab and other image analysis, data analysis tools
Excellent communication and presentation skills
Able to work independently but also comfortable in a collaborative environment
Proficiency with UI technologies (Angular JS / React JS & Sever side technologies like Java / Python / Go lang)
Linear modelling and logistic regression
Preferred Qualifications:
Experience in using claims data
Graph theory
Survival analysis
Imagine analysis
Roche is an equal opportunity employer.
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