Stat Programmer 2 at IQVIA

Bengaluru, Karnataka, India

IQVIA Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Pharmaceutical, Healthcare, Clinical ResearchIndustries

Requirements

  • Master's Degree in Computer Science or related field and 5 years relevant experience (Required)
  • Or Bachelor's Degree in Computer Science or related field and 5 years relevant experience (Required)
  • Or equivalent combination of education, training, and experience (Required)
  • Knowledge of statistics, programming, and/or clinical drug development process
  • Working knowledge of computing applications such as Base SAS, SAS/STAT, and SAS Macro Language
  • Good organizational, interpersonal, leadership, and communication skills
  • Ability to effectively handle multiple tasks and projects
  • Excellent accuracy and attention to detail
  • Ability to establish and maintain effective working relationships with coworkers, managers, and clients

Responsibilities

  • Perform and plan the programming, testing, and documentation of programs for creating statistical tables, figures, and listing summaries
  • Perform and plan the programming of analysis databases (derived datasets) and transfers of data for internal and external clients
  • May perform and plan the programming of database quality control checks
  • Program the integration of databases from multiple studies or sources
  • Develop programming documentation including plans and specifications, as appropriate
  • Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department
  • Perform and plan the development, implementation, and validation of new process technologies, macros, and applications
  • Fulfill project responsibilities at the level of statistical team lead for single studies, under supervision
  • Understand the Scope of Work, estimate the work completed, and manage Out of Scope for single studies
  • May manage budget and resource requirements and provide revenue and resource forecasts for single studies
  • May be required to understand budget and quote assumptions
  • Provide training and guidance to lower level and new staff

Skills

SAS
Base SAS
SAS/STAT
Statistical Programming
SDTM
ADaM
Clinical Trials
Data Integration
Programming Documentation
Macros

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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