Digital Marketing & Data Science Lead
Responsible for driving U.S. digital marketing performance through data measurement, analysis, and optimization. This role evaluates digital data-including CRM streams, paid media, and website analytics-to assess promotional effectiveness and provide data-driven recommendations. Collaborates with U.S. Marketing and creative agencies to develop statistical and machine learning models focused on patient and healthcare professional analytics
Key Responsibilities:
- Partner with marketing and omnichannel teams to address business questions and optimize marketing strategies.
- Conduct patient journey analyses, HCP segmentation, and marketing mix optimization from a digital perspective.
- Develop predictive models, MMM, AI-powered tools, and attribution solutions to enhance resource allocation and improve engagement.
- Lead the design of statistical and machine learning models to quantify marketing impact and patient interactions.
- Monitor key digital metrics, providing actionable insights to brand managers on field, email, media, and website performance.
- Collaborate with third-party vendors to ensure optimal measurement strategy and data availability for marketing evaluation.
Who You Are:
A data-driven problem solver passionate about leveraging analytics to guide marketing strategy and optimize engagement. You thrive in cross-functional collaboration and enjoy translating complex insights into actionable recommendations.
Qualifications:
- Bachelor's degree required; advanced technical degree preferred.
- 5+ years of experience in advanced analytics in pharmaceuticals
- Expertise in media mix modeling (MMM), statistical analysis, and machine learning/GenAI
- Strong SQL skills for data extraction and manipulation.
- Proficiency in Python or R for data modeling.
- Experience in CRM, website, and digital media analytics.
- Excellent communication skills to relay data findings in business terms
- Biotech/pharma experience preferred.
Send your resume for consideration to (see below)