At a Glance
- Tasks: Join a team to analyse data for health technology assessments and clinical trials.
- Company: Hobson Prior connects talented individuals with top life sciences roles worldwide.
- Benefits: Gain experience in advanced statistical methods and work with innovative healthcare solutions.
- Other info: Remote work options may be available; apply now to kickstart your career!
- Why this job: Make a real impact on healthcare decisions while developing your analytical skills.
- Qualifications: Postgraduate degree in Statistics or related field; experience in clinical trials preferred.
The predicted salary is between 30000 - 50000 £ per year.
Hobson Prior is seeking an HTA Statistician to join a team dedicated to delivering impactful analytical solutions in clinical and real-world evidence settings. This role involves contributing to advanced statistical analyses and supporting health technology assessments (HTA) and late-stage clinical trials. If you have a passion for applying innovative statistical methods and working with data to inform healthcare decisions, this opportunity could be the perfect fit for you.
Please note that to be considered for this role you must have the right to work in this location.
Responsibilities:
- Assist with health technology assessments (HTA) and late-stage clinical trial activities.
- esign, analyze, execute, and report on clinical trials, HTA studies, and real-world evidence (RWE) projects.
- Research and apply advanced statistical methods, including indirect treatment comparisons (ITC), network meta-analysis (NMA), Bayesian statistics, and other techniques.
- Perform complex statistical analyses using tools like R and SAS.
Key Skills and Requirements:
- A postgraduate degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field.
- Experience working in clinical trials, HTA, observational research, or real-world evidence studies.
- Proficiency in programming and statistical analysis using R and/or SAS.
- Familiarity with HTA principles and statistical methodologies is highly desirable.
For more information, please contact Antony Serrecchia.
If you are interested in applying to this exciting opportunity, then please click \'Apply\' or to speak to one of our specialists visit the \'Contact Us\' page.
Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.
By submitting this application, you confirm that you\'ve read and understood our privacy policy, which informs you how we process and safeguard your data - https://www.hobsonprior.com/privacy-policy.
HTA Statistician in Slough employer: Hobson Prior
Hobson Prior is an excellent employer for those passionate about making a difference in healthcare through advanced statistical analysis. With a strong commitment to employee development, a collaborative work culture, and the opportunity to engage in impactful projects within the life sciences sector, you will find a rewarding environment that fosters innovation and professional growth. Located in a vibrant area, our team enjoys a supportive atmosphere that values creativity and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land HTA Statistician in Slough
✨Tip Number 1
Familiarise yourself with the latest trends in health technology assessments (HTA) and real-world evidence (RWE). This will not only help you understand the context of the role but also allow you to engage in informed discussions during interviews.
✨Tip Number 2
Brush up on your programming skills, particularly in R and SAS. Consider working on personal projects or contributing to open-source projects that showcase your ability to perform complex statistical analyses.
✨Tip Number 3
Network with professionals in the field of HTA and clinical trials. Attend relevant conferences or webinars, and connect with industry experts on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 4
Prepare to discuss specific statistical methods you've used in past projects, especially indirect treatment comparisons and Bayesian statistics. Being able to articulate your experience with these techniques will demonstrate your expertise and passion for the role.
We think you need these skills to ace HTA Statistician in Slough
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities and requirements of the HTA Statistician position. Familiarise yourself with health technology assessments and the statistical methods mentioned in the job description.
Tailor Your CV:Customise your CV to highlight relevant experience in clinical trials, HTA, and real-world evidence studies. Emphasise your proficiency in R and SAS, as well as any advanced statistical methods you've applied in previous roles.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for healthcare analytics and your ability to contribute to impactful solutions. Mention specific examples of your work with statistical analyses and how they relate to the role.
Proofread Your Application:Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a statistician role.
How to prepare for a job interview at Hobson Prior
✨Showcase Your Statistical Expertise
Be prepared to discuss your experience with advanced statistical methods, especially those relevant to HTA and clinical trials. Highlight specific projects where you applied techniques like Bayesian statistics or network meta-analysis.
✨Demonstrate Programming Proficiency
Since proficiency in R and SAS is crucial for this role, be ready to talk about your programming skills. You might even want to prepare examples of how you've used these tools to perform complex analyses in past projects.
✨Understand HTA Principles
Familiarise yourself with health technology assessment principles and methodologies. Being able to articulate how these concepts apply to real-world evidence studies will show your depth of knowledge and commitment to the field.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask during the interview. This could include inquiries about the team’s current projects or the company’s approach to innovative statistical methods. It shows your genuine interest in the role and the organisation.
