Senior Consultant

KMK Consulting Inc.; Morris Plains (NJ); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A consulting firm in healthcare analytics is seeking a Consultant / Senior Consultant specializing in Data Science and Oncology Analytics. The role, based in Morris Plains, NJ, involves leading projects, building predictive models, and managing data science initiatives for oncology drug portfolios. Candidates should have a strong background in data science, hands-on experience with oncology-specific data, and excellent client-facing skills.

Qualifications

• 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.

Responsibilities

• Lead and deliver data science projects focused on oncology brands and therapeutic areas.
• Design, develop, and implement regression and predictive models.
• Partner with clients and internal stakeholders to translate oncology business needs into actionable insights.

Skills

Data Science

Oncology experience

Regression modeling

Client-facing communication

Education

Master’s or PhD in Data Science, Statistics, Computer Science

Tools

SQL

Python

Databricks

R

Job description

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.