Associate Consultant, Real World Solutions at IQVIA

Beijing, Beijing, China

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Healthcare, PharmaceuticalIndustries

Requirements

PhD/Master degree in Epidemiology, Biostatistics, Medicine, Public Health, Life Sciences or related fields
Strong analytical skills, proficiency in statistical software such as R, STATA and SAS
Strong research experience in the RWE area in consulting/pharma/academia
Track record of publications in peer-reviewed journals
Excellent English skills (listening, speaking, reading and writing)
Rank will be determined based on experience

Responsibilities

Develop and implement research related to Real-World Evidence (RWE) business areas (observational studies, survey studies, systematic reviews & meta-analysis)
Design and conduct observational studies: protocol development, methodology/statistical analysis plan, feasibility analysis, data analysis, study reporting, manuscript writing, etc
Support client liaison including client management tasks, attend client and other external meetings and presentations of own research / analysis
Develop reports, presentations and other client deliverables
Other project execution and client management tasks

Skills

Key technologies and capabilities for this role

RSTATASASEpidemiologyBiostatisticsReal World EvidenceObservational StudiesStatistical AnalysisMeta-AnalysisSystematic Reviews

Questions & Answers

Common questions about this position

What degree is required for this Analyst/Associate Consultant position?

A PhD or Master's degree in Epidemiology, Biostatistics, Medicine, Public Health, Life Sciences or related fields is required.

What technical skills are needed for this role?

Strong analytical skills and proficiency in statistical software such as R, STATA and SAS are required, along with strong research experience in the RWE area.

Is a salary range provided for this position?

This information is not specified in the job description.

What is the location for this job?

This is a Beijing campus recruitment position for 2026 graduates.

What makes a strong candidate for this role?

Candidates with a track record of publications in peer-reviewed journals and excellent English skills in listening, speaking, reading, and writing stand out, along with relevant advanced degrees and RWE research experience.

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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