Business Analytics Advisor, RWD Product Development - Forsyth Health - Remote

Overview

A career within Forsyth Health’s Product 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 Business Analytics Advisor role is a key role to the enterprise and will be supporting a highly complex and growing area within the health care data and product development space. As a strong individual contributor, the role will collaborate on analytic and product development efforts and help design Forsyth’s data products to enable research within the commercial Pharma Analytics space. Responsibilities include mining unstructured data, development of healthcare domain-specific ontologies, development of use cases, data curation models and algorithms that help bring “research-ready” datasets to market. This role will work closely with the internal Technology, Analytics, and Client Services teams to support and showcase Forsyth data capabilities with both existing and potential clients. 

Role Summary

The Business Analytics Advisor, RWD Product Development position is an opportunity for an a data and analytics professional to meaningfully impact the design and development of the Forsyth Enterprise Data Model. 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 gain a deep understanding of patient / clinical activity from Forsyth data and investigate gaps and anomalies both within and longitudinally across patient records.
• Influence the data model to enable expedient and meaningful observational research.
• Work with Analytics team to develop algorithms for derived variables and metrics for inclusion in data product. 
• Compile detailed requirements for data model development and work with Data team to implement and test the resulting data sets.
• Develop vocabularies and ontologies towards standardizing data – for granular structured data and for unstructured / free-text data with an eye on automation and scale.
• Collaborate with Data team to create detailed documentation for data product, including ERD’s and best practices for onboarding and maintenance of licensed data.
• Assist in providing RWD training, analytic guidance, and use case development and support for clients.
•  Continually assess new data sources and work with internal teams to map and incorporate new data into existing model or to expand the model accordingly.
• Project management and prioritization – Advisor role will support multiple projects per Product roadmap and will work with Client Solutions, Data and Analytics teams to manage multiple initiatives and negotiate timelines/priorities with stakeholders.

Qualifications:

• At least 5 years of experience in analytics, solving complex business problems using data tools, relational databases, and analytical processes.  Bachelor’s degree in a related field preferred
• At least 3-5 years’ experience using SQL, programming against large relational databases leveraging 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 of health, etc.) and codified healthcare data standards (e.g., NDC, ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)
• Demonstrated attention to detail, ability to compile and analyze information, ensure data integrity, and provide resolutions or recommendations for improving operational processes. Excellent communication skills.
• Desired: experience applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health. 
• Experience with programming languages such as SQL, SAS, R, Python, etc.
• Experience with data visualization tools such as Alteryx, Tableau, PowerBI desired.
• A data-driven personality w/ Intellectual curiosity and internal motivation.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.