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Statistical Programmer Jobs In Haryana - 7 Job Positions Available

1 – 7 of 7 jobs
Veramed jobs

Senior/ Principal Statistical Programmer (SAS & R) Location: Bangalore/Hyderabad/India Remote Opportunities Veramed prides itself on two key areas: providing the highest quality statistics and programming consultancy for its clients, and giving its employees an industry leading working environment

Veramed  4 hours ago
Cytel jobs

Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, youll be at the heart of our clients innovation. As a Principal Statistical Programmer, you will be dedicated to one

Cytel  4 hours ago
Mastercard jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments

Mastercard  16 days ago
Veramed jobs

Principal Programmer (RWE) Purpose The role of the Principal Programmer is to provide leadership and expertise in RWE Statistical Programming to Veramed’s clients across a range of projects, clients and therapeutic areas Key Responsibilities The Principal Programmer (RWE) will be

Veramed  4 hours ago
Sun Pharma jobs

JOB DESCRIPTION : The Lead SAS Macro Developer at the Senior Manager level will drive the design, development, and maintenance of enterprise-level SAS macros, with a primary focus on TLF (Tables, Listings, and Figures) programming workflows,

Sun Pharma  30 days ago
Trexquant Investment jobs

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning

Trexquant Investment  23 days ago
Trexquant Investment jobs

Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning

Trexquant Investment  23 days ago

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