2.5+ years of hands-on experience in US pharma commercial analytics, SFE, or a closely related function (mandatory)
Demonstrated HCP/HCO targeting and/or universe sizing outputs in the US pharmaceutical market
Direct experience with at least two of these datasets: Xponent, claims data (medical/pharmacy), DDD, 867/852, specialty pharmacy, or shipment/wholesaler data
SQL proficiency (must-have) with advanced Excel; Python knowledge is a plus
Requirements:
Deliver HCP/HCO targeting and/or universe sizing outputs for the US pharmaceutical market
Collaborate with field-facing commercial teams (brand, sales, commercial operations) to translate analytics into actionable plans
Develop and maintain targeting datasets and insights from key data sources (e.g., Xponent, claims, DDD, 867/852, specialty pharmacy, shipment/wholesaler data)
Communicate findings and present to brand teams, field leadership, and senior stakeholders while managing multiple deliverables in a fast-paced environment
Job description
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Job Title: Senior Associate Function: Sales Force Effectiveness Experience Required: 2.5+ years - US pharma commercial analytics / SFE. US Pharma Domain: Mandatory REQUIRED QUALIFICATIONS Experience
2.5+ years of hands-on experience in US pharma commercial analytics, SFE, or a closely related function - mandatory
Demonstrated record of delivering HCP/HCO targeting and/or universe sizing outputs in the US pharmaceutical market.
Direct experience with at least 2 of the following datasets: Xponent, claims data (medical/pharmacy), DDD, 867/852, specialty pharmacy, or shipment/wholesaler data.
Experience working within or alongside field-facing commercial teams (brand, sales, commercial operations)
Excel (Must have) - advanced level for ad-hoc analysis and stakeholder-facing outputs.
Python (Good to have)- data processing using pandas and numpy; scikit-learn exposure is a plus.
Domain Knowledge
Strong understanding of the US pharmaceutical commercial ecosystem - Rx data flows, HCP profiling, payer, and channel dynamics
Familiarity with therapeutic area concepts, treatment pathways, and prescribing dynamics in at least one of: Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care
Understanding commercial dataset structures, their limitations, and how they inform targeting decisions.
Communication & Ways of Working
Effective communication skills - comfortable presenting to brand teams, field leadership, and senior stakeholders.
Ability to manage and prioritize multiple deliverables in a fast-paced, dynamic environment.
