This role pays less than
68%
of similar roles. Most pay
$173,087–$246,150
— the shaded band above.
At the midpoint, this role pays about
$180k
versus about
$210k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
297 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 271 roles with salary data.
Senior Manager, Neuroscience, Oncology & Eye Care Access, Reimbursement & Fulfillment Analytics joins the Market Access and Patient Services team within the MAPS APEX function. This role focuses on delivering high-quality analytics and applied data science solutions to support patient journey tracking, copay programs, field reimbursement managers, and prior authorization enablement. The successful candidate will build and deploy predictive and machine learning models, such as logistic regression, gradient boosting, and random forests, to identify barriers to patient access and improve conversion rates. Day-to-day responsibilities include developing advanced analytical solutions, managing data for performance dashboards, and collaborating with internal teams to monitor model production. Required technical skills include proficiency in Python or R, SQL, and machine learning libraries like scikit-learn or XGBoost. The role addresses critical pharmaceutical access challenges by utilizing IQVIA and Symphony data to optimize the patient treatment journey.
Map patient journey workflows and identify access barriers using machine learning techniques like dropout prediction and conversion scoring.
Develop and maintain advanced analytical solutions, including supervised/unsupervised ML models and segmentation frameworks to explain drivers of patient outcomes.
Provide data support for dashboards that track the performance of Copay, Field Reimbursement Managers, and Prior Authorization programs.
Utilize third-party vendor data from sources like IQVIA and Symphony to accelerate and facilitate the patient journey.
Identify and escalate key business issues related to program execution while considering multiple stakeholder perspectives.
Drive the adoption of ML-driven tools and capabilities in collaboration with Market Access and Brand teams.
Provide copay forecasting capabilities and insights regarding impacts from design changes or competitor actions.
Manage the production, monitoring, and retraining workflows for deployed models to ensure consistent performance over time.
What we're looking for
Bachelor’s Degree in Business, Analytics, Economics, Mathematics, Statistics, Engineering, or a related discipline required.
Master’s Degree in a quantitative or data science field (preferred).
7+ years of experience in quantitative analysis of operational, sales, or marketing data to develop business plans and strategies.
Hands-on experience building, validating, and deploying predictive models using techniques such as logistic regression, gradient boosting, random forests, or clustering.
Proficiency in Python or R with experience using ML libraries like scikit-learn or XGBoost required.
Knowledge of the pharma ecosystem and datasets including physician prescribing, institutional sales, and claims data (preferred).
Familiarity with MLflow, Databricks, or cloud-based ML platforms (preferred).
Experience with NLP libraries/text analytics (preferred) and knowledge of BI tools and SQL/HIVE/IMPALA (preferred).
AI
Machine Learning
Data Science
R
Biostatistics
Bayesian Methods
Causal Inference
Longitudinal Analysis
Digital Health
Neuroimaging
Omics
Real-World Data
Data Privacy Standards
Predictive Modeling
Multimodal Integration
Remote (New York, NY)93 days ago
$188,000–$216,000
Tealium iQ
Amplitude
Data Layer
JavaScript
HTML
CSS
SQL
Server-side Tagging
Consent Management Platforms
Google Tag Manager
Adobe Launch
Snowflake
BigQuery
GDPR
CCPA/CPRA
Web Instrumentation
Marketing Technology
A/B Testing