Senior Manager, Clinical Data Management at Verana Health

San Francisco, California, United States

Verana Health Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
NoVisa
Healthcare, Medical Technology, Data & AnalyticsIndustries

Requirements

Candidates must possess a Bachelor's degree in science, nursing, or a healthcare-related field, and have at least 3 years of experience working with ophthalmology or urology clinical data. They should have significant experience managing a team of contract part-time clinical data abstractors for Real World Data projects, and demonstrate expertise in clinical and research applications of real-world data sources, including clinical data from unstructured EHR sources and administrative claims data. Knowledge of regulatory requirements for use cases for real-world data applications, with a focus on the expected documentation of steps and processes used to curate and transform raw EHR data into standardized, structured data elements is also required.

Responsibilities

The Senior Manager, Clinical Data Management will develop and implement standard operating procedures for training clinical data abstractors, abstracting clinical data from unstructured EHR data, and entering interpreted data. They will collaborate with clinical and data teams to create manual abstraction guidelines, build an accomplished clinical data abstraction team, oversee informatics in supporting Verana’s multiple product offerings, and work with product and technology teams to develop, test, deploy, and scale a functional software platform for clinical data abstraction activities. Furthermore, they will design standardized data entry forms, instructions, and logic check rules for real-time error flagging, implement a rigorous quality control and assurance plan for all clinical data abstraction activities, and collaborate with medical teams on analytic plans for commercial projects and internal scientific activities, contributing to Verana’s regulatory strategy.

Skills

Clinical Data Management
Data Quality
Standard Operating Procedures
Team Building
Data Abstraction
EHR Data
Regulatory Requirements
Data Analysis
Clinical Data
Ophthalmology
Urology
Software Platform Development
Data Entry Forms
Logic Check Rules
Quality Assurance
Medical Teams
Analytic Plans

Verana Health

Assembles and analyzes clinical databases for research

About Verana Health

Verana Health assembles and analyzes large-scale clinical databases to support physicians and enhance medical research. By partnering with medical associations, the company creates regulatory-grade data platforms that generate valuable medical evidence and insights. These platforms serve life science companies and healthcare providers, offering them data that improves evidence generation and patient outcomes. Verana Health focuses on big data, analytics, and artificial intelligence to provide actionable insights that help life science companies accelerate research, identify trial patients, and understand patient experiences better. The company earns revenue through partnerships and data services offered to its clients.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$280.9MTotal Funding
SERIES_ECompany Stage
Data & Analytics, Biotechnology, HealthcareIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Parental Leave
Unlimited Paid Time Off
Professional Development Budget
Mental Health Support

Risks

Competition from other digital health companies leveraging AI and big data analytics.
Rapid evolution of data privacy regulations may increase compliance costs.
Reliance on medical association partnerships could be a vulnerability if disrupted.

Differentiation

Verana Health manages data from over 20,000 providers and 70 EHR systems.
Their VeraQ™ engine enhances data integrity with AI and clinician direction.
Exclusive partnerships with specialty medical societies provide unique, regulatory-grade data platforms.

Upsides

Raised $150M in Series E funding, indicating strong investor confidence.
Acquisition of PYA Analytics enhances data processing and insights generation capabilities.
Focus on integrating unstructured data like physician notes increases data depth and usability.

Land your dream remote job 3x faster with AI