Sr. AD, Medical Business Analytics - Cardio-Renal Metabolic (Remote)

BioCT Innovation Commons; Ridgefield (CT); Remote; USD 170,000 - 269,000; Full time

Job summary

An established industry player is seeking a Senior AD of Medical Analytics and Insights to leverage advanced analytics and machine learning in healthcare. This role focuses on extracting insights from complex datasets to support strategic decision-making and enhance patient care. The ideal candidate will have extensive experience in data science, strong statistical skills, and proficiency in tools like SAS and Python. Join a dynamic team that values innovation and collaboration, and make a significant impact on medical affairs through data-driven strategies and insights.

Qualifications

• 8+ years in healthcare analytics, with strong statistical and modeling experience.
• Proficient in SAS, SQL, Python, and R for data analysis and visualization.

Responsibilities

• Identify and gather data sources for medical analyses, including claims and EHR data.
• Develop machine learning models to extract insights and optimize decision-making.

Skills

Machine Learning

Advanced Analytics

Statistical Analysis

Data Visualization

Predictive Modeling

Interpersonal Skills

Education

Bachelor's degree

Master's/PhD

Tools

SAS

SQL

Python

R

Excel

PowerPoint

Job description

Compensation Data

This position offers a base salary typically between $170,000.00 and $269,000.00.

Description

The Sr. AD Medical Analytics and Insights applies advanced analytics and machine learning techniques to extract insights from complex data sets, supporting strategic decision-making and innovation within Medical Affairs. The role combines advanced analytics expertise with deep healthcare domain knowledge to harness the power of data for accelerating impact of medical, improving patient care and supporting evidence-based decision making.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

Duties & Responsibilities

1. Identify and gather relevant data sources for medical analyses. This can include claims data, KEE/KOL profiling data (publications, clinical trials, etc.), internal MSL insights, electronic health records (EHRs), and digital engagement data.
2. Develop and implement machine learning models and algorithms (e.g., predictive models, natural language processing) to extract insights, predict outcomes, and optimize decision-making processes. Sanitize and process disparate datasets to create integrated data repositories suitable for analysis. Analyze large and complex data sets (structured and unstructured) to identify trends and insights that align with medical affairs needs and priorities. Coordinate with medical affairs stakeholders to understand business problems and needs. Hypothesize outcomes for the business needs and translate to data science projects. Support the development of data-driven strategies and initiatives. Communicate and present findings and insights to the internal stakeholders within the organization, including senior leadership.
3. Stay abreast of emerging technologies, trends, and best practices in data science, healthcare informatics, and regulatory landscape to propose innovative solutions and enhancements.
4. This role involves analyzing complex structured, unstructured and sensitive information in a highly regulated and compliant environment. The individual will have to design and deploy advanced analytical techniques and algorithms to derive insights from healthcare data.
5. Strong working knowledge of AI / ML techniques, predictive modeling, targeting, statistical analysis, data manipulation and visualization. The individual needs to have in-depth understanding of the regulatory and compliance policies in the healthcare space. Knowledge of the medical affairs function and typical datasets used in the healthcare industry will be critical.
6. Accountable for managing complex datasets and deriving key insights based on data. Analyzing a variety of information to determine unmet needs and corresponding action plans from a medical affairs perspective.

Requirements

1. Bachelor´s degree from an accredited institution required. Master´s/PhD preferred.
2. BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Masters degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience. Experience must also include working directly with product segmentation, targeting, and promotion-response modeling.
3. Strong statistical background with extensive modeling experience.
4. Proficiency in SAS and other data extraction and analytical tools such as SQL, Python, and R. Experience with Excel and Power Point.
5. Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.
6. Functional competencies: Analytical skills, Business orientation, influence.