Assoc Principal Statistical Programmer/Sr Stat Programmer at IQVIA

Hyderabad, Telangana, India

IQVIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Clinical ResearchIndustries

Requirements

  • Expertise in SAS® Base and good knowledge of SAS® Graph and SAS® Macros
  • Excellent knowledge of CDISC standards (SDTM, ADaM, and TFL)
  • Thorough understanding of relational database components and theory
  • Excellent application development skills
  • Strong understanding of clinical trial data
  • Good understanding of ICH E6, ICH E3, ICH E8, ICH E9, and clinical research processes

Responsibilities

  • Implementing more advanced statistical procedures as per specifications provided by biostatistician
  • Hands-on data manipulations, analysis, and reporting of analysis results

Skills

Key technologies and capabilities for this role

SAS BaseSAS GraphSAS MacrosCDISC SDTMCDISC ADaMCDISC TFLRelational DatabasesData ManipulationStatistical AnalysisClinical Trial Data

Questions & Answers

Common questions about this position

What is the salary for this position?

This information is not specified in the job description.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What key skills are required for this role?

Expertise in SAS Base, good knowledge of SAS Graph and SAS Macros, excellent knowledge of CDISC standards (SDTM, ADaM, TFL), thorough understanding of relational databases, excellent application development skills, strong understanding of clinical trial data with hands-on experience in data manipulations, analysis, and reporting are required.

What is the company culture like at IQVIA?

IQVIA is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry, focused on pushing the boundaries of human science and data science to create a healthier world.

What makes a strong candidate for this statistical programmer role?

Candidates with expertise in SAS Base, SAS Graph, and Macros, excellent CDISC knowledge (SDTM, ADaM, TFL), strong clinical trial data experience, relational database understanding, and good grasp of ICH guidelines and clinical research processes stand out.

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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