Data Scientist

PharmaACE; Princeton (NJ); On-site; USD 80,000 - 100,000; Full time

Job summary

A growing Global Healthcare Consulting Firm in Princeton, New Jersey is looking for a Data Scientist. The ideal candidate will create and deploy Machine Learning models in the oncology domain, generating market insights through the analysis of extensive patient and product data. Required qualifications include a Bachelor's in engineering and a year of relevant experience. The company works globally with major BioPharma clients, supporting various therapeutic areas and applying advanced analytics across differing business units.

Qualifications

• 1 year experience performing duties of a Data Scientist.
• Experience in healthcare analytics using commercial datasets.
• Familiarity with statistical concepts like Z test, T test, and ANOVA.

Responsibilities

• Create, plan and deploy Machine Learning models for pharmaceuticals.
• Generate market insights by processing and analyzing bulk data.
• Define and establish frameworks and metrics for model evaluation.

Skills

Machine Learning

Python

SQL

Healthcare analytics

Statistical Modeling

Education

Bachelors in engineering

Job description

PharmaACE is a growing Global Healthcare Consulting Firm headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders, innovators, and entrepreneurial firms on the cutting‑edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno‑science, CNS, CV‑Met, and Rare Diseases. We support our clients' needs in Primary Care, Specialty Care, and Hospital business units. We have managed Biologics, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems portfolios.

Qualifications

Bachelors in engineering and 1 year experience performing duties of the position (Data Scientist) required.

Responsibilities

• Create, plan and deploy Machine Learning models for pharmaceuticals in the oncology domain. Generate market insights by processing and analyzing bulk patient and product level data. Define and establish model frameworks and metrics to build, deploy and evaluate models. Perform healthcare analytics using commercial datasets (Claims, EHR, Sales, Specialty Pharmacy), advanced statistical concepts (Z test, T test, Chi Square, ANOVA, Statistical Modeling), and programming (Python, Machine Learning, SQL and NLP).