Principal Statistical programmer at IQVIA

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, Medical DevicesIndustries

Requirements

Bachelor's degree from reputable university preferably in science/mathematics related fields
Preferred SAS® certification
Expertise in SAS® Base, and good knowledge of SAS® graph and SAS® Macros
Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician
Excellent knowledge of CDISC standards (SDTM and ADaM)
Thorough understanding of relational database components and theory
Excellent application development skills
Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results
Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes
Minimum of 8+ years of experience in Statistical Programming in pharmaceutical or medical devices industry
Good verbal and written communication skills (desirable)
Ability to work on multiple projects, plan, organize and prioritize activities (desirable)

Responsibilities

Perform all responsibilities associated with the Senior Programmer role
Assist all the Sr. Programmers and Programmers in their day to day activities
Act as escalation point for Sr. Programmer and Programmer
Regularly communicates with the sponsor on the progress of programming aspects of the project and proactively anticipates issues and works with the sponsor on resolution of the problems
Provide input and/or write the programming specifications
Serve as subject matter expert on all aspects of SAS programming
Understand pharmaceutical industry standards and trends and proactively plan, develop, and implement
Develop consistent practices of clinical and statistical review of output and mentor programming staff
Check for consistency across therapeutic areas
Identify, plan, and oversee the implementation and success measures of all process improvement initiatives
Maintain expertise in the use of the SAS® Macros and determine macro development priorities
Other responsibilities as defined on ad-hoc basis by senior management

Skills

SAS Base

SAS Graph

SAS Macros

CDISC SDTM

CDISC ADaM

Relational Databases

Clinical Trial Data

Data Manipulation

ICH E6

ICH E3

ICH E8

ICH E9

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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