Roche Diagnostics has built a new strategic area – Roche Information Solutions (RIS) - charged with creating a modern portfolio of decision support software products and generating insights that change the way patients are cared for. Our challenge is to bring together complex diagnostic and treatment data from medical devices and IT systems and intelligently process and present this data to clinicians, researchers, and caregivers to improve research outcomes and patient care offering a suite of Clinical Decision Support (CDS) solutions.
Job accountabilities / tasks:
As a Senior Principal Quantitative Scientist, you are responsible for leading, conceptualizing, planning and executing advanced Real-World Data (RWD) projects to generate evidence in support of the CDS portfolio, clinical tests, diagnostic devices, and services developed and marketed by Roche Diagnostics. Contribute to broad product support initiatives and/or studies, lead and deliver on complex projects, and interact with external partners without supervision.
The data you will be working with is varied in type including - but not limited to – clinical patient-level data, supplemented with data such as omics, imaging, digital health, etc. You will lead and collaborate with peers within the function and across the organization to develop and improve existing strategies, CDS and workflow solutions, improve product support strategies, identify evidence gaps and data sources, design and execute studies, implement analyses to support improvement of existing products, and lead discovery and early development of new features or apps to drive for instance, the CDS portfolio as well as Diagnostics clinical tests, devices, and services. Quantify the value of these work products from both a patient outcome, business value, as well as from a regulatory perspective. Drive creation of best practices, and proactively share learnings/experience with colleagues both internal and external to the function. Leverage your strategic organizational awareness and systems mindset to implement sustainable, science based practices.
Ensure that the design, execution, and presentation of evidence and study methodologies are adhering to industry standards and potentially improve and redefine current industry standards. Leverage and expand knowledge of available healthcare data sources and applicable state-of-the-art analytical methodologies. Hands on experience collaborating with and leading team members who have large scale data processing and visualization, and languages and tools (R, Python, (no-)SQL, Hadoop, Spark, etc.) is required. In addition, leverage your scientific expertise, organizational awareness, strong advanced study design skills, and your ability to interact and influence cross-functional experts such as biostatisticians, data scientists, and product owners, to discover novel insights demonstrating impact of various treatment decisions, and uncover key elements leading to best outcomes for patients.
Responsibilities include:
Minimum skills and experience