Sr. AD Medical Analytics and Insights (Remote) - ILD/Respiratory

BioCT Innovation Commons; Connecticut; Remote; USD 140,000 - 222,000; 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 techniques. This pivotal role focuses on extracting insights from complex healthcare data, supporting innovation and strategic decision-making within Medical Affairs. The successful candidate will manage diverse datasets, develop predictive models, and communicate findings to stakeholders, all while navigating a highly regulated environment. If you have a passion for data-driven healthcare solutions and a strong analytical background, this opportunity is perfect for you.

Qualifications

• 8+ years of experience in healthcare/pharmaceutical analytics.
• Strong statistical background with extensive modeling experience.

Responsibilities

• Identify and gather relevant data sources for medical analytics.
• Develop and implement machine learning models to extract insights.

Skills

Machine Learning

Statistical Analysis

Data Manipulation

Data Visualization

Analytical Skills

Education

Bachelor's degree in Mathematics, Statistics, Engineering, Business/Data analytics

Master's/PhD in relevant field

Tools

SAS

SQL

Excel

PowerPoint

Job description

Compensation Data

This position offers a base salary typically between $140,000.00 and $222,000.00. The position may be eligible for a role-specific variable or performance-based bonus and/or other compensation elements.

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 the impact of medical, improving patient care, and supporting evidence-based decision making.

Duties & Responsibilities

• Identify and gather relevant data sources for medical such as clinical trials data, electronic health records (EHRs), patient registries, and real-world evidence databases.
• 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.
• Stay abreast of emerging technologies, trends, and best practices in data science, healthcare informatics, and regulatory landscape to propose innovative solutions and enhancements.
• 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.
• Strong working knowledge of AI/ML techniques, statistical analysis, data manipulation, and visualization. The individual needs to have an 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.
• Accountable for managing complex datasets and deriving key insights based on data. Analyzing a variety of information such as RWE, patient data, trial data, etc., to determine unmet needs and corresponding action plans from a medical affairs perspective.

Requirements

• Bachelor´s degree from an accredited institution required. Master´s/PhD preferred.
• BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Master’s 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, benchmarking, score-carding, targeting, and promotion-response modeling.
• Strong statistical background with extensive modeling experience.
• Proficiency in SAS and other data extraction and analytical tools such as SQL. Experience with Excel and PowerPoint.
• Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.
• Functional competencies: Analytical skills, Business orientation, influence.