Statistician
Taipei Full-time Mid-level Data Science
At a glance
Mid-level Data Science role at OPIS. Taipei · full-time.
Pay not stated Data Science salary
RoleData Science
SeniorityMid-level
LocationTaipei
EmploymentFull-time
PostedSep 10, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Shape clinical study plans and analyses, including statistical input on design and methods
- Prepare analysis plans, participant counts and randomization approaches for studies
- Use SAS to produce tables, figures and listings for study results
- Work with data management and study teams, and contribute to study reports and regulatory materials
What you bring
- A degree in statistics, biostatistics or a comparable subject
- At least two years working in a CRO, pharma, biotech or research setting
- Knowledge of clinical trials, GCP and statistical methods, plus hands-on SAS experience
- Fluency in English and Taiwanese or Taigi
Who this fits
This role suits a statistician with clinical research experience who can work with study teams and sponsors. You’ll need fluency in English and Taiwanese or Taigi.
From the employer
As a Statistician, you’ll play a key role in shaping study design, driving high-quality analyses, and partnering with global teams and sponsors.
What You’ll Be Doing:
What You Bring:
What we offer:
Who we are:
OPIS is an International CRO with over 25 years of experience in conducting Phase I-IV, non-interventional and medical devices studies on an international level. We always offer state-of-the-art information technology solutions and innovative approaches to the increasing complexity and variety of projects.
OPIS extensive expertise covers all phases of drug-related trials, taking care of the Sponsor beyond the therapeutic area, offering also accurate clinical investigations for medical and diagnostic devices. With Global Clinical Research Locations all over the world, OPIS offers a full range of integrated clinical research services as scientific advice, medical writing, trial start-up, monitoring, study management, data management, statistics, pharmacovigilance, medical monitoring, electronic data capture as well as quality assurance and training.
What You’ll Be Doing:
- Lead statistical input into clinical study design and analysis
- Develop SAPs, sample size calculations, and randomization schemes
- Deliver high-quality statistical outputs (TFLs) using SAS
- Collaborate cross-functionally with Data Management and study teams
- Contribute to Clinical Study Reports and regulatory deliverables
- Act as a trusted statistical partner to internal teams and sponsors
What You Bring:
- Degree in Statistics / Biostatistics (or similar)
- 2+ years of working experience in CRO, pharma, biotech, or research
- Solid knowledge of clinical trials, GCP, and statistical methods
- Working experience with SAS
- Strong communication skills and a proactive mindset
- Fluent English and Taiwanese/Taigi
What we offer:
- Competitive salary
- Full onboarding and training to ensure your success in the role
- Long-term growth opportunities and a career development path
- The chance to work remotely
Who we are:
OPIS is an International CRO with over 25 years of experience in conducting Phase I-IV, non-interventional and medical devices studies on an international level. We always offer state-of-the-art information technology solutions and innovative approaches to the increasing complexity and variety of projects.
OPIS extensive expertise covers all phases of drug-related trials, taking care of the Sponsor beyond the therapeutic area, offering also accurate clinical investigations for medical and diagnostic devices. With Global Clinical Research Locations all over the world, OPIS offers a full range of integrated clinical research services as scientific advice, medical writing, trial start-up, monitoring, study management, data management, statistics, pharmacovigilance, medical monitoring, electronic data capture as well as quality assurance and training.
This page is hosted by JazzHR and uses cookies for technical and analytical purposes. For details regarding the processing of your application data by OPIS, please refer to our:
Pivacy Policy