Associate Director / Senior Manager, Commercial Data Science & Patient Analytics

Analytic Recruiting Inc.; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Analytic Recruiting Inc. seeks a Senior Manager/Associate Director to lead patient-level predictive analytics for US Commercial pharma. The role is onsite in Cambridge, MA or RTP three days a week, focusing on building models for patient identification, segmentation, treatment initiation, adherence, and persistence.

You will integrate IQVIA, Symphony Health, Komodo, and Veeva data, apply Python/SQL, and guide cross-functional teams to translate analytics into actionable business decisions.

Qualifications

• 3+ years of commercial patient modeling in US pharma/biotech.
• Working knowledge of commercial pharma data sources (IQVIA, Symphony Health, Komodo, Veeva).
• Strong Python and SQL; experience with Databricks, Snowflake, and Power BI.

Responsibilities

• Build patient predictive models for identification, segmentation, treatment initiation, adherence, and persistence.
• Model the patient journey, including treatment patterns and disease progression.
• Predict HCP behavior to inform provider targeting and engagement strategy.
• Integrate real-world data from multiple sources into analysis-ready datasets.
• Turn models into decisions by partnering across functions to implement insights.
• Set and uphold standards for model monitoring, governance, and continuous improvement.
• Communicate findings clearly to commercial leadership and executives.
• Manage external vendors and consulting partners.
• Associate Director: lead and mentor a team of data scientists and own the analytics roadmap for US Commercial.

Skills

Python

SQL

Databricks

Snowflake

Power BI

Predictive analytics

Modeling

Communication with stakeholders

Education

Bachelor's degree

Master's degree

PhD

Tools

IQVIA

Symphony Health

Komodo

Veeva

Job description

MUST HAVE 3+ YEARS OF COMMERCIAL PATIENT MODELING

Location: Cambridge, MA or RTP onsite 3 days a week

What you'll do

• Build patient predictive models for patient identification, segmentation, treatment initiation, adherence, and persistence, from design and validation through deployment


• Model the patient journey, including treatment patterns, disease progression, and the signals that show who is likely to be diagnosed, start therapy, switch, or drop off


• Predict HCP behavior to inform provider targeting and engagement strategy


• Integrate real-world data, combining claims, EHR, specialty pharmacy, and commercial data into analysis-ready patient-level datasets


• Turn models into decisions by partnering with Commercial, Medical Affairs, Insights & Analytics, Data Management, and IT to make findings actionable


• Set and uphold standards for model monitoring, governance, and continuous improvement


• Communicate clearly to commercial leadership; at the AD level, to the executive team


• Manage external vendors and consulting partners


• Associate Director only: lead and mentor a team of data scientists and analytics professionals, and own the AI and predictive analytics roadmap for US Commercial

What you bring

• Hands-on experience building patient-level predictive models in US commercial pharma or biotech, such as patient finding, adherence and persistence, or treatment initiation


• Working knowledge of commercial pharma data: IQVIA, Symphony Health, Komodo, Veeva, and claims and EHR datasets


• Strong Python and SQL; experience with Databricks, Snowflake, and Power BI


• Depth in machine learning, statistical modeling, predictive analytics, and optimization


• Ability to explain complex models to non-technical commercial stakeholders


• An advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field

Senior Manager: Bachelor's with 5+ years or Master's with 3+ years of relevant experience, including 3+ years supporting US commercial pharma/biotech.

Associate Director: Master's or PhD; 8+ years in data science or advanced analytics, including 5+ years supporting US commercial pharma/biotech and 3+ years leading technical teams or large cross-functional initiatives.

Keywords:

Predictive analytics, Commercial Pharmaceuticals, Data Science, Patient Modeling