Overview
Pharma Talent Acquisition Manager | Enabling Growth Through Targeted Hiring in Analytics, RWE, HEOR & Technology
Job Title: Consultant / Senior Consultant – Data Science (Oncology Analytics)
Location: Morris Plains, NJ (Hybrid)/ Remote
About the Role
We are seeking a highly skilled Consultant / Senior Consultant with strong expertise in Data Science and Oncology Analytics . This role requires proven hands-on experience in building predictive models, working with oncology-specific pharmaceutical digital data, and delivering actionable insights that support strategic decision-making for multiple drug portfolios.
Key Responsibilities
- Lead and deliver data science projects focused on oncology brands and therapeutic areas.
- Design, develop, and implement regression and predictive models to address complex business challenges.
- Work with oncology-specific pharma digital datasets across multiple drugs.
- Build models end-to-end (from data preparation through deployment) using advanced tools.
- Partner with clients and internal stakeholders to translate oncology business needs into actionable insights.
- Mentor junior team members and promote best practices in analytics and modeling.
Requirements
- Strong background in Data Science with hands-on expertise in regression modeling.
- Oncology experience is mandatory with prior exposure to pharma digital data.
- Ability to manage analytics across multiple oncology drug portfolios.
- Strong client-facing and communication skills to influence stakeholders.
Technical Skills
- Proficiency in SQL, Python, and Databricks .
- Ability to build models end-to-end from scratch (preferred tools: R, Python, Databricks ).
- Knowledge of advanced statistical and machine learning techniques.
Preferred Qualifications
- Master’s or PhD in Data Science, Statistics, Computer Science, or a related field.
- 3–7 years of experience in data science/analytics roles, with a strong focus on oncology analytics .
- Prior consulting or client-facing experience is a plus.