Consultant, Real World Solutions (Biostatistician/ Epidemiologist) at IQVIA

Singapore

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

Requirements

  • MPH, MSc or PhD (or an equivalent degree) in statistics, biostatistics, epidemiology, public health, or a related discipline
  • Proficiency in the use of statistical software such as R and other statistical programming language
  • Strong analytical and problem-solving mindset along with excellent written and verbal communication skills
  • Compelling quantitative skills with the ability to learn and apply analytical tools and techniques for analysis
  • Experience in designing and executing retrospective epidemiological studies using existing data sources
  • Prior healthcare-related experience and computing skills with high level programming languages (added advantage)
  • Able to work independently in a multidisciplinary and culturally diverse team
  • Excellent team player and self-motivated
  • Fluency in English (spoken and written)

Responsibilities

  • Develop and execute statistical analyses for real world studies
  • Work closely with project teams including project managers, epidemiologists, data scientists, statisticians and consultants across APAC and other regions to ensure accuracy and validity of data
  • Maintain in-depth understanding of real-world designs and statistical methods including modeling approaches
  • Provide statistical input in study protocols and prepare statistical analysis plan
  • Support data analytics scripting and execution of analytics for observational research studies
  • Use statistical programming ability to support development/maintenance of central analytics code library and updating existing coding with support from IQVIA data scientists
  • Support project delivery including creating reports, presentations and other client deliverables, and participating in client meetings and workshops
  • Develop and implement strategies to ensure accurate and timely delivery of statistical analysis results
  • Excellent communications skills to effectively communicate complex statistical concepts to internal and external stakeholders

Skills

Biostatistics
Epidemiology
Statistical Analysis
Statistical Programming
Data Analytics
Statistical Modeling
Observational Research
HEOR
Real World Evidence

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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