Sr. Quantitative Scientist, Implementation, Infrastructure Lead (Analytic Solutions)

As Verana Health reinvents how research happens with data and technology in the healthcare space, we are growing our Data & Science team to solve complex real-world problems across multiple therapeutic areas, including urology and ophthalmology.  We are looking for a Senior Quantitative Scientist with experience in supporting a technical infrastructure that enables scalable, reproducible research and developing code for life science companies in support of commercial projects leveraging real-world data across the clinical development cycle. Direct experience working with ophthalmology and/or urology clinical data is considered a plus.

This role will be embedded within Analytic Solutions, which resides in the Data & Science department. This group helps to drive Verana’s analytic services offering, which includes insight generation and consultative support on data products directly accessed by commercial partners. Built on the values of continuous learning, cross-functional collaboration, and rigorous scientific research, the Data & Science team strives to improve patient care by innovating at the intersection of real world data, clinical context, and methodology with our partners to ensure all available data is being used to in the most efficient, data-driven way possible.

Job Duties and Responsibilities:

Verana Health is looking for a Senior Quantitative Scientist with a background in Engineering, Data Science, Computer Science, Math, Statistics or related skill sets working specifically in observational data, as well as collaborating directly with life science companies.

Responsibilities:

• Be a hands-on individual contributor on the Data & Science team with a solid grasp of relevant technical approaches (software engineering best practices, healthcare data analytics, programming) and their respective assumptions
• Highly skilled in writing readable code for analyses leveraging observational data to generate real-world evidence 
• Serve as the technical lead in driving initiatives fundamental to the team’s infrastructure best practices, including GitHub, coding requirements, and analytic workflows
• Influence what key areas to invest in that enable scalable technical processes by framing the business impact  
• Work experience on commercial retrospective clinical studies leveraging EHR real-world data through responsibilities such as creation of statistical analysis plans, implementation of analyses, development of algorithms in support of research objectives, and/or writing of publications
• Collaborate cross-functionally with teams (e.g., Commercial/Sales, Product, Medical, Engineering/Technology, etc.) to translate clinical investigation questions into detailed data analytics requirements for internal and external projects

Basic Requirements:

• Master’s or doctorate in a quantitative discipline (e.g., Engineering, Computer Science, Math, Statistics or related field) or equivalent practical experience
• 5+ years of hands-on experience with messy data (e.g., electronic health records, outcomes data) and analytical methodologies
• 5+ years working with life science/pharmaceutical/biotechnology organizations and familiarity with providing analytic services to these groups
• Demonstrated ability to influence a team to adopt best-practices and workflows resulting in higher-quality results and faster turnaround times
• Experience executing research studies for life sciences
• Ability to balance key requirements that generate high-quality, reproducible research while enabling a pragmatic approach  
• Advanced skills with data analytics tools, such as SQL, Python, Pyspark, AWS, Git, Databricks
• Expert in cloud-based architecture and software development and programming principles 
• Familiarity with clinical datasets and coding systems such as ICD, CPT, and RxNorm
• Ability to work effectively with cross-functional teams
• Clear communication skills and able to deliver internal/external presentations
• Ability to prioritize and manage multiple projects with high attention to detail