Healthcare & Life Sciences Data Science Lead

Simon-Kucher

Boston (MA)

Hybrid

USD 125,000 - 150,000

Full time

14 days+

Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Health benefits

Flexible working

401(k) & RRSP benefits with company匹?

Job summary

Simon-Kucher in the United States is seeking a data-driven AI and analytics specialist to advance pricing, market access, and commercial strategies for healthcare and life sciences clients. You will collaborate with cross-functional teams across pharma, biotech, payer, and provider groups to deliver client-ready insights.

Bring 2+ years of AI/analytics experience, strong Python/SQL, and expertise in visualization tools.

Qualifications

2+ years of relevant full-time work experience in AI, data science, analytics and digital in consulting and/ or commercial functions (e.g. pricing, marketing, sales), ideally with exposure in healthcare and life sciences.
Familiar with concepts such as LLM-based workflows, prompt design, tool/function calling, retrieval-augmented generation, workflow orchestration, or AI agent evaluation is a plus.
Experience with visualization tools such as Power BI and/or Tableau, relational databases, ETL processes, and data engineering concepts.
Familiarity with commonly used modeling techniques such as linear regression, logistic regression, support vector machines, decision trees, random forests, XGBoost, CatBoost, LightGBM, and other supervised learning approaches.
Excellent communication and presentation skills, with fluency in English, both written and verbal, and a client-focused attitude.
Proactive, self-motivated, and able to work both independently and collaboratively in a fast-paced environment.

Responsibilities

Represent Simon-Kucher as an individual contributor, delivering high-quality outputs and client-ready deliverables that meet and exceed client expectations.
Work in teams across a wide variety of healthcare and life sciences clients, products, and project types, including pharmaceutical, biotech, medtech, payer, provider, healthcare technology, analytics, digital, commercial, market access, medical, and strategy engagements.
Analyze and interpret healthcare and life sciences data to support pricing, market access, sales, launch, and commercial strategies; identify opportunities; and develop actionable recommendations linked to revenue growth, market access, patient impact, launch success, and commercial performance.
Support data science engagements and analytical workstreams by contributing to high-quality analysis, rigorous methodology, clear documentation, analytical frameworks, financial models, quality assurance, and actionable recommendations.
Support AI solution and agent development and implementation strategy, including patient and provider segmentation, next-best-action, forecasting, demand modeling, pricing analytics, promotional effectiveness, and real-world data analytics.