(Senior) Statistician
Qiagen, Manchester
(Senior) Statistician
Salary not available. View on company website.
Qiagen, Manchester
- Full time
- Permanent
- Onsite working
Posted 6 days ago, 28 Oct | Get your application in now to be included in the first week's applications.
Closing date: Closing date not specified
Job ref: 3d56584087824e709e744644a594c257
Location ref: Manchester
Full Job Description
research, diagnostics, pharmaceutical, biotech, or related regulated environmentsProficiency in SAS, or other statistical programming software (e.g., R) used for data analysis and reportingExperience performing sample size calculations and providing study design recommendations using tools such as nQuery or comparable softwareStrong analytical, problem-solving, and communication skills, with the ability to translate statistical concepts for diverse audiencesProven ability to collaborate effectively across functions, cultures, and geographical locationsDemonstrated initiative, curiosity, and commitment to continuous learning and innovationWhat we offer Attractive pension Private Healthcare and Dentalcare Gym membership contribution A range of retail discounts and offers Enhanced maternity package Flexible working options Bonus/commission 25 days annual leave (potential to increase linked to service) Employee Assistance Program and internal QIAGEN communities Hybrid work
(conditional to your role) 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. SummaryLocation: ManchesterType: Full time
OverviewAt 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 opportunityThis 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 tasksDesign analytical, clinical, and performance studies to demonstrate the safety, effectiveness, and
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