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- Tasks: Lead statistical support for oncology studies, ensuring data quality and regulatory compliance.
- Company: Proclinical is a top life sciences recruiter connecting talent with global opportunities.
- Benefits: Enjoy a fully remote role with flexible working hours and a supportive team environment.
- Why this job: Join a dynamic team making a real impact in oncology research with innovative methodologies.
- Qualifications: Master's in Biostatistics or Statistics required; Ph.D. preferred, with strong SAS and R skills.
- Other info: This is a permanent position open to candidates in the UK or France.
The predicted salary is between 48000 - 72000 £ per year.
Are you a dedicated individual looking to put your expertise to work fully flexibly in a remote position? Proclinical is seeking a Lead/Principal Statistician to provide strategic support and leadership within a cross-functional team focused on oncology studies. This role involves contributing to study design, protocol development, and statistical analysis plans, ensuring high-quality data management and regulatory compliance. You will act as the statistical expert for clinical development programs, employing advanced methodologies and innovative trial designs. This permanent position is fully remote based within United Kingdom or France.
Responsibilities:
- Provide statistical expertise in study design and protocol development.
- Conduct sample size and power calculations, and simulations.
- Develop statistical analysis methodologies and plans.
- Oversee blinded in-trial data quality review and pre-database lock data control.
- Support the development of table, listing, and figure templates.
- Manage programming and production tasks.
- Oversee contract or CRO resources.
- Prepare and document clinical regulatory submission packages.
- Ensure adherence to CDISC standards and regulatory requirements.
- Collaborate effectively with multidisciplinary teams and external agencies.
Key Skills and Requirements:
- Expertise in oncology clinical development and regulatory submissions.
- Strong knowledge of statistical theory and methods.
- Proficiency in SAS and R programming for data management and analysis.
- Excellent communication, leadership, and intercultural skills.
- Ability to make informed decisions in ambiguous situations.
- Proficiency in MS Word, Excel, and PowerPoint.
- Sound understanding of clinical and statistical regulatory requirements (e.g., GCP, ICH, CDISC).
- Master's degree in Biostatistics or Statistics; Ph.D. preferred.
Lead Statistician/Principal Statistician - Oncology employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Statistician/Principal Statistician - Oncology
✨Tip Number 1
Network with professionals in the oncology field. Attend relevant conferences or webinars where you can meet potential colleagues and industry leaders. Engaging in discussions about statistical methodologies in oncology can help you stand out.
✨Tip Number 2
Familiarise yourself with the latest advancements in statistical methods and regulatory requirements specific to oncology. This knowledge will not only enhance your expertise but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Showcase your proficiency in SAS and R by working on personal projects or contributing to open-source initiatives. Having tangible examples of your programming skills can significantly boost your credibility during interviews.
✨Tip Number 4
Prepare for interviews by practising how to communicate complex statistical concepts clearly and effectively. Being able to explain your thought process and decisions in a straightforward manner is crucial, especially when collaborating with multidisciplinary teams.
We think you need these skills to ace Lead Statistician/Principal Statistician - Oncology
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Statistician/Principal Statistician position. Familiarise yourself with oncology studies and the specific statistical methodologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in oncology clinical development, statistical analysis, and programming skills in SAS and R. Emphasise your leadership abilities and any experience with regulatory submissions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for oncology and your expertise in statistical methods. Mention specific examples of past projects where you provided strategic support or led cross-functional teams.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. Ensure that your documents are clear, concise, and professionally formatted to make a strong impression.
How to prepare for a job interview at Job Traffic
✨Showcase Your Statistical Expertise
Be prepared to discuss your knowledge of statistical theory and methods, especially in the context of oncology. Highlight any relevant experience you have with study design and protocol development, as this will demonstrate your capability to contribute effectively to the role.
✨Demonstrate Proficiency in Programming
Since proficiency in SAS and R is crucial for this position, be ready to provide examples of how you've used these tools in past projects. You might even want to prepare a brief overview of a specific analysis you conducted using these programming languages.
✨Emphasise Communication Skills
As the role involves collaboration with multidisciplinary teams, it's important to showcase your communication skills. Prepare examples of how you've successfully worked with diverse teams or managed stakeholders in previous roles, particularly in high-pressure situations.
✨Understand Regulatory Requirements
Familiarise yourself with clinical and statistical regulatory requirements such as GCP, ICH, and CDISC standards. Being able to discuss these regulations and how they impact your work will show that you are well-prepared for the responsibilities of the role.
