Overview

A career within Forsyth Health’s Data & Analytics team will provide you with the opportunity to help Pharma/Life Science organizations uncover patient and market insights. At Forsyth Health, we focus on a collection of data management, business intelligence and advanced analytics capabilities to support various functions within these organizations to meet their business needs around market access and patient support programs.

How you'll make a difference:

The Sr. Research Advisor, Real World Data position is a key role to the enterprise and will be supporting a highly complex and growing area within the health care data and analytics services space. As a strong individual contributor, the role will lead client engagements to define, develop and communicate insights critical to Commercial, Market Access, HEOR and Evidence Generation functions at Pharma/Life Science. Responsibilities include leading Outcomes Research studies, Advanced Analytics, ML model development and general analytic support for all stakeholders.  This role will work closely with the internal Sales and Technology teams.  This person will need to be able to understand the needs within the Commercial Pharma Analytics space and translate those into actionable insights.  

Role Summary:

The Sr. Advisor, Real World Data position is an opportunity for an analytics professional to provide leadership on complex analytics projects and initiatives. This role will work with an innovative team on setting and executing the vision for how advanced embedded analytics can lead Forsyth Health to achieving our growth goals. This role will work collaboratively with internal and external stakeholders to provide partnership in analytics, developing RWD analytics solutions to inform Commercial & Market Access Analytics, leveraging advanced analytic and technologic capabilities and embedding analytics driven processes.

Job Responsibilities
The job responsibilities include, but are not limited to the following:

• Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify populations of interest in HVM data and assess using univariate analysis and data investigations
•  Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth
•  Provide clients with RWD training, analytic guidance, and use case support in the post-sale phase
•  Develop and communicate technical, clinical, operational, and business specifications to internal and external teams
•  Work cross-functionally to support operational processes to deliver data licensing projects on time and with accuracy
• Develop new reports and analytic solutions with innovative ways to present data internally and externally in order to support Forsyth Health’s Sales & Business stakeholders. This requires combining business knowledge and data acumen along with technical (SAS, SQL) skills to efficiently complete these ad-hoc requests.
• Consultation with Data & Analytics matrix partners to develop best practices and help understand complex issues and requests. Cross-Functional collaboration as needed to create alignment with stakeholders.
• Project management and prioritization – Advisor role will support multiple projects and will need to be able to work with Forysth Health Sales’ and Analytics team to manage multiple initiatives at the same time and negotiate timelines/priority with stakeholders.
• Explore and visualize the data using Business Intelligence tools such as including Tableau, PowerBI, Thoughtspot and/or Looker. (Largely Tool agnostic environment)
• Extraction and analysis of large healthcare claims data using state of the art big-data infrastructure leveraging cloud and on premise tools i.e. SAS, SQL based programming, Analytic platform (Python), R, Teradata, Hadoop, etc.

Qualifications:

• BS/MS/PhD in Econometrics, Actuarial Science, Business Analytics, Data Science, Health Outcomes, Epidemiology, Statistics, or in any technical field that provides a solid basis for analytics highly desired.
• At least 3 years experience using SQL, programming against large relational databases leveraging interoperably-linked, patient-level data at scale
•  Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)
•  Experience eva