The power of data at scale has transformed almost every industry, personalizing experiences in many aspects of our lives. Yet in healthcare we’ve only scratched the surface. At Genentech and Roche we are accelerating the use of data insights and digital technologies to make significant strides to reach the full potential of personalized healthcare. We are seeking mission-driven, ardent, self-starting, creative individuals to join us in this effort.
The Advanced Analytics Product Specialist will work closely with key stakeholders in the PHC Center of Excellence and serve as trusted IT strategist to coordinate advanced analytics technology strategy with the PHC COE strategy and portfolio. The Advanced Analytics Product Specialist will be responsible for driving the design and implementation of the IT strategic plan and work with stakeholders to identify technologies which enables the business to achieve its PHC vision and strategy. The goals is to design and implement the PHC Advanced Analytics Platform for Roche/Genentech’s current and future PHC needs.
The PHC Advanced Analytics Platform will provide data science users the capability to analyze large scale Global Scientific Datasets including Omics, Imaging, Digital and EHR modalities. The Advanced Analytics Product Specialist provides the business stakeholders a window to key innovative technology trends and evolution of technology within the healthcare industry, which has the potential to accelerate the fulfillment of the strategic vision. Through use of dashboards and governance boards, provides continuing communication to provide the business an overview of the progress of current IT innovation(s).
We expect the Advanced Analytics Product Specialist to be a passionate business and product advocate within IT, with proven analytical capabilities. The Advanced Analytics Product Specialist must be an effective negotiator, leader and communicator in working with Roche/Genentech’s multiple business units as well as with internal IT cross-functional teams. The ideal candidate will be a self-starter with a passion for transforming healthcare, a high level of flexibility, and commitment. The Advanced Analytics Product Specialist will join our diverse community of smart, fun, wholehearted, and engaged informatics professionals from various functional areas. This person will share our community values of passion, courage, integrity, and gratitude -- all in-service of our mission, “doing now what patients need next.”
As Advanced Analytics Product Specialist on the PHC Pharma IX/Technology team, you will:
Partner closely with key stakeholders from PHC Center of Excellence, Research and Early Development teams (REDs), Product Development (PD) and Commercial business groups, and corresponding Pharma IT Groups and Global Infrastructure and Solutions (GIS)
Influence senior leaders across Roche and communicate PHC IX/Technology vision, strategy, goals, status, and impact
Develops the technology architecture, and detailed executable designs including critical investment plan in strategic technologies.
Conducts PoC in Advanced Analytics technologies e.g RStudio, Jupyter, Machine Learning tools e.g AWS Sagemaker and HPC’s etc.
Work with data scientists to apply machine learning algorithms to develop new models as well as enhance existing one
Ensures that the technology architecture and designs remain current with the business goals, and directs the development of architecture activities and projects, while aligning with current and long-term business and technology goals.
Promotes best practices to support scalability, skills transfer and organizational change management across the enterprise and architecture community.
Highlights short-term trade-offs vs long-term commitments and where those are worth implementing or not. Ensures that the Solutions are scalable (technology), efficient (process), effective (cost), and supportable
Mentor technical leads/software engineers to enable the individuals and the organization to develop a scalable and stable solution landscape
Have a broad knowledge and leverage the technical capabilities of the internal teams and external technology providers and vendors.
Conduct market assessments and to identify new capabilities for existing and future business needs.
Collaborate with other Architecture and Engineering groups across Roche
Bachelor’s degree in Biology, Computer Science, Mathematics, Electrical Engineering, Information Systems or related field; Master/PHD in Business, Mathematics, Science, or Computer Science preferred
Overall 8-10+ years experience in Advanced Analytics Architecture and/or Engineering, of which at least 5 years as an Advanced Analytics Engineer or Product Specialist.
3+ years of experience in leading design or implementation of Advanced Analytics and Data Science platform is required
Strong Hands on experience in designing and implementing Advanced Analytics Applications using multiple type of tools e.g. R, R Studio, Python, Deep Machine Learning Frameworks, TensorFlow, Keras, etc. is required.
Proven experience with Machine Learning tools, including one or more of: Numpy, SciPy, Pandas, Matplotlib, Jupyter Notebook, Spark.
Knowledge in Machine learning using Neural Networks, Statistical Models and NLP etc.
Define and develop technical requirements and design specifications for the core platform enhancements and analytics solution starters
Experience with reporting/visualization technologies e.g. R Shiny, AWS Quicksight, Tableau and Qlikview etc.
Strong hands-on experience with at least two of the public Cloud providers(AWS, GCP and Azure), different ML services and tools i.e. Sagemaker, AutoML and containers.
Strong awareness and market knowledge of Advanced Analytics & Data Science SaaS Services, platforms and tools e.g. datascience.com, h2o.ai, HPC landscape, container orchestration etc.
Handon experience in the Analysis of EMR/EHR, Omics, Imaging, Digital data modalities.
Ability to work in environment of competing and alternating priorities with constant focus on delivery
Excellent communication (written and oral) and presentation skills; solid business acumen; well-honed influencing skills are essential.
Self-motivated and team-oriented; able to work both autonomously and effectively as part of a geographically dispersed team
Ability to travel up to 25% time