Jobs
Benefits & Perks
•Learning Budget
•Learning
Required Skills
Statistics
SAS
R
Data analysis
RWE Biostatistician - opportunity for recent Masters graduates/ newly graduated PhD.
*We are looking for Statisticians to join our team in Lisbon, Portugal to develop their careers as Biostatisticians, and help us deliver high‑quality scientific research to our clients in the global pharmaceutical and healthcare industries. *
Our team contribute to the body of scientific evidence that allows medical practitioners to treat patients in the most effective way, and health systems to include as many patients as possible. We use data, collected for clinical (and other) purposes to answer research questions such as which treatment works best in the real world, beyond the clinical trial setting? Our fast paced and supportive environment attracts individuals who care deeply about the quality, timeliness and subsequent impact of their work; and who thrive when exposed to the scale and variety of scientific challenges we face.
Your primary responsibilities as a Biostatistician in our Portugal team will be wide ranging, but will involve:
- Contribution to the development of study protocols, statistical analysis plans (SAPs), programming specification and output documents
- Cleaning and preparing small to large-sized real-world healthcare databases
- Conducting statistical analysis on real-world databases as specified in the SAP
- Write-up and presentation of results of statistical analysis
- Assisting in the preparation of abstracts, manuscripts and/or presentations to conferences
- Contribution to improving operational efficiencies of workflows, including writing of internal guidance documents (e.g., SOPs and quality management documents)
To be successful in this role, you’ll need:
- MSc, PhD or equivalent in statistics, biostatistics, epidemiology or in a directly related discipline. Qualification in these subjects is essential.
- Statistical programming skills in a statistical package (ideally SAS and/or R)
- Ideally some experience working with large, individual-level data sets
- Excellent time management skills, contributing to multiple projects with competing timelines
- Commitment to working collaboratively and effectively with people of other disciplines
- Strong written and verbal communication skills
- Fluency in English (spoken and written) – please submit your CV in English
Preferred Qualities
- Some exposure to the healthcare and pharmaceutical industries
- Experience designing and executing prospective or retrospective database studies
- Publications in peer reviewed journals and/or abstracts in scientific conferences
In return, we’ll provide the support for you to develop your Statistics career in a supportive and dynamic environment. You’ll be working in a global company of over 60,000 employees in more than 100 countries, with a broad range of healthcare information, technology and service offerings. You will need to be based in Portugal for this role , so must be happy to relocate there.
At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000 employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.
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About IQVIA

IQVIA
PublicFocused on health information technology and clinical research.
10,001+
Employees
Durham
Headquarters
$17B
Valuation
Reviews
3.9
2 reviews
Work Life Balance
2.5
Compensation
2.0
Culture
2.8
Career
3.0
Management
2.5
65%
Recommend to a Friend
Pros
Structured feedback and development process
Meaningful contribution to client businesses
Problem-solving with specialized knowledge
Cons
Strict performance requirements and termination risk
High-level rubric definitions lack detail
No performance bonuses offered
Salary Ranges
42 data points
Mid/L4
Senior/L5
Director
Mid/L4 · Associate Data Science & Advanced Analytics Manager
1 reports
$112,587
total / year
Base
$86,605
Stock
-
Bonus
-
$112,587
$112,587
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical Manager Interview
5
Executive/GM Interview
6
Offer
Common Questions
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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