Shape The Future of Global Health, from Vietnam 🇻🇳

At Elfie, we’re not just building a health tracking app. We’re changing how people manage their health worldwide. If you're looking for a mission with global reach, real impact, and a team that scales fast and learns even faster, you’ve just found your next move.

We provide relocation support for expats, and a seat at the table of one of Asia’s most exciting mobile health-tech companies.

Curious to learn more about our team, culture, and what it's like to relocate to Vietnam?
👉 Click here to find out more on our careers page!

About The Role

We are seeking a Biostatistician to join our growing data team and spearhead the development of our research capabilities from the ground up. This is a unique opportunity to build the statistical foundation for a company already collaborating with some of the world's largest pharmaceutical companies. You will lead the design, analysis, and interpretation of Real World Evidence (RWE) studies while establishing robust methodologies to support both internal research initiatives and external pharmaceutical partnerships.

What You’ll Get

• 🧳 Relocation Support - Discussed on a case-by-case basis
• 💰 Permanent Global Contract - With a competitive salary
• 🏥 Private Healthcare - From day one
• 💻 Top-Tier Tech Setup - Brand new MacBook + full onboarding kit
• 🧠 Career Growth Framework - Clear, personalised, and fast-moving
• 🎯 Bonus Scheme - Performance-related, quarterly paid
• 🌴 14 Days PTO + Public Holidays - Real time off
• 🧪 Hybrid Working - 3 days in the office per week
• 🍛 Refreshments - Free Lunch and Dinner every day for you to enjoy

What You’ll Do

Study Design & Research Leadership

• Design and oversee Real World Evidence studies to demonstrate the efficacy of our mobile health platform in improving patient outcomes

• Develop statistical methodologies for randomized controlled trials and observational studies, with a focus on mobile health interventions

• Create and review Statistical Analysis Plans (SAPs) for both internal research and collaborative pharmaceutical studies

• Lead the analysis of longitudinal patient datasets, addressing challenges inherent in mobile health research

Data Analysis & Methodology

• Analyze complex healthcare datasets to identify patterns in treatment adherence, symptom progression, and clinical outcomes

• Develop advanced statistical models for missing data imputation and dropout analysis in mobile health contexts

• Handle high-attrition datasets typical of mobile health applications (addressing dropout rates that can exceed 40% in digital health interventions)

• Implement innovative approaches to causal inference and synthetic control methodologies for real-world evidence generation

Pharmaceutical Partnership Support

• Provide statistical expertise for collaborative research projects with pharmaceutical partners

• Generate insights for pharmaceutical marketing campaigns through analysis of anonymized symptom and medication usage data

• Support market share analysis and salesforce optimization through geospatial and temporal data analytics

• Contribute to regulatory submissions and health technology assessments using real-world data

Data Infrastructure & Strategy

• Inform internal data structure design to optimize data collection for research purposes

• Establish statistical standards and quality assurance processes for all research activities

• Collaborate with the research coordinator at Imperial College London on international research initiatives

What You’ll Need

• PhD in Biostatistics/Statistics or related field with 3+ years industry experience; or Master’s with 5+ years.

• Demonstrated experience designing and analyzing clinical trials and observational RWE studies.

• Proficiency in SAS and R; strong skills in longitudinal and survival analysis.

• Hands-on expertise with missing data methods (e.g., multiple imputation, sensitivity analyses) and attrition/dropout handling.

• Working knowledge of regulatory frameworks and data standards (FDA/EMA/ICH; CDISC SDTM/ADaM preferred).

• Ability to translate clinical questions into analysis plans (SAPs) and communicate results to technical and non-technical stakeholders.

• Experience collaborating with pharma, CROs, AROs, or digital health companies on research deliverables.

• Nice to have: geospatial analytics, HEOR/causal inference, ML for health data, and chronic disease/mHealth experience.

Why Join Elfie?

We're a global start-up that is mission-led, and fiercely product-driven. 

We're building something that improves lives - and we're doing it with a culture of trust, freedom, and high performance.

About Elfie

Elfie is the first completely free, gamified mobile app that rewards users for managing their health. Our goal? To become the world’s largest self-reported medical record platform — across all therapeutic areas.

We operate in 10+ countries today, with plans to expand into 15 by the end of 2025.

📲 Try Elfie for yourself by downloading it on the App Store for IOS or Google Play store for Android

What Now?

Apply today for immediate consideration! Got someone in mind? We offer a referral reward if your recommendation is hired. Contact Talent Acquisition for more info.