Quantitative Scientist

Verana Health•San Francisco, CA

1d•Hybrid

About The Position

Verana Health is a digital health company focused on delivering quality drug lifecycle and medical practice insights through an exclusive real-world data network. The company has recently secured significant funding and is driven by a mission to accelerate quality insights and advance patient care. Verana Health operates with a core set of values known as DRIVE: Diversity, Responsibility, Integrity, Voice-of-Customer, and End-Results. The company has offices in San Francisco, Knoxville, TN, and New York City, with employees working remotely across various states. Permanent residency in one of the specified states is required for all employees. The Quantitative Scientist role is crucial for executing and guiding the analytical, statistical, and epidemiological components of Verana's research projects and data quality initiatives. This role involves collaborating cross-functionally to enhance research capacity and uphold quality standards. The ideal candidate possesses expertise in statistics, coding best practices, epidemiological study designs, and strong communication skills. They will contribute to uncovering trends with clinical, research, and business significance, particularly for oncology patients. The role is part of a diverse research team and reports to the Vice President, Research.

Requirements

Masters degree in computer science, statistics, applied math, econometrics, MPH, or similar quantitative field
3+ years of relevant research experience in the field of oncology (post-graduation)
Experience working with real-world data sourced from electronic health records
Experience analyzing claims data
Advanced knowledge of SQL, R programming, and version control (git)
Deep understanding and experience with descriptive statistics, logistic and multivariate regression analysis, power calculations, propensity score analysis, and survival analysis
Significant experience developing protocol documents, statistical analysis plans (SAPs), and manuscript tables and figures
Evidences well-developed conceptual and integrative thinking with ability to access internal and external resources as needed
Project implementation and execution, including engagement with key stakeholders, with a high degree of autonomy
Mentors junior analysts in HEOR and statistical analysis methodologies
Excellent written and verbal communication skills
Strong organizational and time management skills
Works well independently, as a team member, and as a team leader
Comfort working in a fast-paced, dynamic environment
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

Experience implementing data science methodologies
Understanding of data quality metrics and/or quality management systems

Responsibilities

Executing and providing oversight and guidance on the analytical, statistical and epidemiological components of Verana research projects and data quality initiatives.
Conducting, guiding, and managing the analytical execution of Verana research projects.
Collaborating cross-functionally to build research capacity and adopt quality standards across Verana's business units.
Continually unearthing and presenting interesting trends that have clinical, research, and business importance for customers and oncology patients.
Leading the design and development of Verana research studies from a statistical and analytical perspective.
Contributing to the development of protocols and statistical analysis plans.
Developing code and producing results as defined in protocols and statistical analysis plans.
Collaborating with physicians, statisticians, data scientists, business leaders, and others within and outside Verana to conduct research projects including observational studies, pharmacoeconomic analyses, and other relevant study types.
Communicating studies in progress and demonstrating results to key stakeholders through high quality abstracts, posters, and publications.
Managing and mentoring a team of data analysts and data scientists, including reviewing code and analytical output.
Contributing to the evolution of Verana’s quality assurance framework, including identifying data quality issues during analysis.
Maintaining current and in-depth understanding of real-world data analytical methodologies, along with the ability to lead and mentor internal team members in successfully executing them.
Leading the analytical execution of Verana’s research projects for life science, provider, and regulatory partners.
Scoping projects to determine feasibility, estimated costs, and expected timelines.
Providing guidance to Verana’s client partners in the use of Verana’s data model and analytical/statistical methodologies.