Overview
At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.
We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented individuals to join our exceptional teams.
We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.
At QIAGEN, every day is an opportunity to make a real-life impact.
Join us, grow with us, and together, let's shape the future of biological discovery.
About the opportunity
This exciting opportunity as a (Senior) Statistician offers the chance to join a dynamic, welcoming, and highly talented team that plays a key role in developing innovative products that make improvements in life possible.
The QIAGEN Statistics and Data Science team provides expert study design, statistical analysis, and data-driven insights to support the development of a diverse portfolio of diagnostic solutions addressing both existing and emerging medical needs. Working closely with Product Development and cross-functional teams in our state-of-the-art Manchester facility, you will contribute to a wide range of analytical and clinical studies that support product development and regulatory objectives.
As part of a globally connected function, you will also collaborate with colleagues across Germany, Spain, and the USA, applying your statistical expertise to help deliver high-quality diagnostic products that make a meaningful difference to healthcare worldwide.
Your tasks
Design analytical, clinical, and performance studies to demonstrate the safety, effectiveness, and performance of diagnostic products
Collaborate with cross-functional project teams and provide statistical expertise throughout product development and validation activities
Develop statistical analysis plans and ensure the appropriate application of statistical methodologies
Program and review statistical analyses, including the generation of tables, figures, and listings using SAS or other relevant software tools
Interpret and present study results to project stakeholders and contribute to technical and regulatory documentation
Depending on seniority, drive or support the continuous improvement of statistical processes, study design approaches, and reporting standards
Mentor and support team members, depending on experience and seniority level
Your profile
Degree in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline; equivalent professional experience will also be considered
Experience applying statistical methods within scientific, biomedical, clinical research, diagnostics, pharmaceutical, biotech, or related regulated environments
Proficiency in SAS or other statistical programming software (e.g., R) used for data analysis and reporting
Experience performing sample size calculations and providing study design recommendations using tools such as nQuery or comparable software
Strong analytical, problem-solving, and communication skills, with the ability to translate statistical concepts for diverse audiences
Proven ability to collaborate effectively across functions, cultures, and geographical locations
Demonstrated initiative, curiosity, and commitment to continuous learning and innovation
Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.
QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.