KMK Consulting Company LLC
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
Masters or PhD in Data Science, Statistics, Computer Science, or a related field. 37 years of experience in data science/analytics roles, with a strong focus on
oncology analytics . Prior consulting or client-facing experience is a plus.
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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
Masters or PhD in Data Science, Statistics, Computer Science, or a related field. 37 years of experience in data science/analytics roles, with a strong focus on
oncology analytics . Prior consulting or client-facing experience is a plus.
#J-18808-Ljbffr