Datavant

Director, Scientific Data Insights

Datavant$180K — $200K *
US-AnywhereRemote in United States
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of management experience with real-world data in life sciences or healthcare
  • Master's degree in a science-related field or engineering discipline
  • Experience with health care data analysis; familiarity with clinical and longitudinal patient datasets
  • Experience with SQL coding is advantageous
  • Proficient in developing and overseeing data processes and technologies
  • Exceptional attention to detail and advanced problem-solving skills
  • Strong communication skills with the ability to interact with executives and clients

Responsibilities

  • Develop data models and map various data sets to those models
  • Implement stacking and linking of data sets effectively
  • Create and interpret data dictionaries; implement best practices
  • Act as a liaison between clients and technical teams for data modeling
  • Assess datasets and identify best-fit use cases internally and externally
  • Advise stakeholders on appropriate datasets and analytic solutions
  • Collaborate with external partners and internal teams to deploy data

Benefits

  • Comprehensive total rewards strategy focusing on high performance
  • Opportunities for additional variable compensation
  • A collaborative and dynamic work environment
  • Work at a high-growth technology company transforming healthcare
  • Potential for professional development in a cutting-edge field
Full Job Description
As a Director, Scientific Data Insights you will be a key team leader responsible for leading client-facing interactions to understand their data needs and providing directives on fit-for-purpose datasets and data model creation. You will also collaborate internally to deploy new data sources and advise on data opportunities and potential data partnerships to support data strategy objectives.

Responsibilities

The following duties and capabilities include, but are not limited to:
  • Developing data models, both the design and ability to map different data sets to a data model that was designed by the candidate
  • Understanding how stacking data works (putting two or more data sets together that are similar)
  • Understanding how linking data works (putting two or more data sets together that are different)
  • Reading data dictionaries, be able to develop data dictionaries for clients, know data dictionaries best practices
  • Ability to liaise between client and internal technical teams on data model design and transformation
  • Developing internal and external frameworks to assess datasets and identify best-fit for various use cases
  • Advising internal stakeholders on best datasets for therapeutic areas and analytic solutions; lead the effort to validate and assess datasets with key internal constituents, and determine key research questions that can be addressed by specific data sources
  • Communicating with leadership and key internal constituents on data strategy and priorities
  • Liaising between external data partners and internal sales, delivery, product and engineering teams to deploy new data sources
  • Working in a highly collaborative and matrixed environment.

Qualifications
  • 7+ years of operational or management experience using real-world data, with preference for use in life sciences and/or other healthcare industries
  • Master's degree in a science-related field, or an engineering degree at the undergraduate level or above
  • Analytical experience with health care data; capabilities in acquiring and analyzing clinical data sets, and longitudinal patient data; experience with choosing and applying real-world data to specific research questions as well as entire therapeutic areas
  • SQL coding experience is a plus
  • Ability to develop and manage processes, operations and technology for data set ingestion and implementation
  • Excellent time management skills and ability to multitask and prioritize work
  • Exceptional attention to detail and extremely strong problem-solving skills to anticipate and proactively recommend solutions
  • Ability to self-motivate and lead others- while the person will be an individual contributor at this time, they will be expected to manage other team's timelines and team members within projects
  • Strong written and verbal communications, including with senior executives and customers
  • Travel as required

#LI-BC1

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. This role is eligible for additional variable compensation.

The estimated base salary range (not including variable pay) for this role is:

$180,000-$200,000 USD

About Datavant

Datavant is a healthcare technology company that specializes in connecting and standardizing healthcare data from various sources. The company's products are used to improve patient care, accelerate drug development, and enhance clinical research. Datavant's platform, called the Datavant Platform, uses artificial intelligence and machine learning to identify and link patient data across different sources while maintaining patient privacy. The company was founded in 2017 by Travis May and is headquartered in San Francisco, California.
Learn more about Datavant
Size
100 employees
Industry
Founded
2017

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