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- Tasks: Lead statistical projects, manage data quality, and perform analyses for clinical trials.
- Company: Everest Clinical Research is a leading CRO known for high-quality deliverables and exceptional customer service.
- Benefits: Enjoy remote work flexibility and opportunities for professional development.
- Why this job: Join a dynamic team making an impact in clinical research with a focus on quality and client trust.
- Qualifications: Ph.D. in statistics or related field with 2 years experience, or Master's with 4 years experience required.
- Other info: Everest values diversity and provides accommodations for applicants with disabilities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence.
To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Senior Biostatisticians working remotely from a home-based office in the United Kingdom in accordance with our Work from Home policy.
Key Accountabilities:- Leadership and Project Management: Lead efforts in resolving day to day work related issues and problems, securing quality, improving efficiency and productivity of statistical and programming operations. Lead assigned projects by applying project management skills, statistical and programming techniques; achieve quality and on time delivery of deliverables, earn client’s trust and repeat business.
- Statistical Planning and Methodologies: Provide statistical expertise for design, analysis and reporting of clinical trials and research projects. Contribute to the writing of statistical sections of study protocols, perform sample size calculation, develop randomization specifications, and generate randomization codes. Write Statistical Analysis Plans (SAPs) and properly address Peer Statistician review comments. Create and maintain Statistical and Programming Quality Control (QC) and QA Plans for assigned projects. Provide input to unblinded data management plan when required. Assist in research and development of statistical methodologies and processes.
- Statistical Programming: Develop and/or review ADaM dataset specifications. Review and provide input to SDTM dataset specifications when required. Perform QC validation of analysis datasets and TLGs. Perform third level review of dry runs and final run. Lead statistical dry runs and final run by actively participating or contributing to project and resources management, addressing statistical and programming questions and interacting with data management to follow up and resolve data issues. Review and provide input to the Analysis Data Reviewer’s Guide, discuss and incorporate Data Standards Reviewer’s review comments to ensure quality of the document.
- Statistical Analysis and Reporting, and Publication Support: Perform statistical analysis as per SAP, and address peer/QC review comments and findings. Perform statistical validation of core results, address additional QC validation comments and findings on the core results. Plan and conduct or contribute to the trial results reporting/dissemination meetings. Under supervision contribute to the contents describing any deviation from the planned analysis and deviation from study conduct for the Clinical Study Report (CSR). Review CSR to ensure accuracy, completeness and appropriateness of the interpretation of the statistical results. Write statistical report or statistical sections of the CSR. Perform statistical analyses for publications, including but not limited to abstracts, manuscripts, presentations and posters.
- Supporting Clinical Data Collection and Cleaning: Provide statistical input to Case Report Forms (CRF) design and database/variable structure. Provide statistical input to non-CRF data collection and acquisition methods and approaches. Review Data Management Plan sections relating to critical data collection and cleaning. Provide statistical input to Data Validation Specification. Specify and/or program database quality acceptance checks, assess and report data quality issues, and follow through until resolution. Perform ongoing assessment and communication of data quality issues, including protocol deviations. Assist data management and trial management team in preparing for database lock. Complete job required and project-specific training. Comply with applicable Everest and trial sponsor’s policies, SOPs, and work instructions. Properly archive study files in accordance with trial sponsor’s requirements. Plan and carry out professional development activities.
A Ph.D. degree in statistical science, mathematical analysis or related fields plus 2 years highly relevant experience or a Master’s degree plus 4 years highly relevant experience, with demonstrated ability and sustained performance.
Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.
Senior Biostatistician employer: Everest Clinical Research
Contact Detail:
Everest Clinical Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Biostatistician
✨Tip Number 1
Familiarise yourself with the latest statistical methodologies and software used in clinical trials. Being well-versed in tools like SAS or R can set you apart, as these are often essential for a Senior Biostatistician role.
✨Tip Number 2
Network with professionals in the clinical research field, especially those who work at Everest or similar organisations. Attend industry conferences or webinars to make connections and learn about the company culture.
✨Tip Number 3
Prepare to discuss your project management experience in detail. Highlight specific projects where you led statistical analysis and how you ensured quality and timely delivery of results.
✨Tip Number 4
Research Everest Clinical Research thoroughly. Understand their values, recent projects, and client base. Tailoring your conversation to reflect your alignment with their mission can demonstrate your genuine interest in the role.
We think you need these skills to ace Senior Biostatistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in biostatistics and project management. Emphasise your leadership skills and any specific statistical methodologies you have worked with that align with the job description.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to lead statistical analysis and contribute to clinical trials, as outlined in the job description.
Highlight Relevant Qualifications: Clearly state your educational background, especially if you hold a Ph.D. or Master's degree in statistical science or related fields. Include any certifications or training that are pertinent to the role of a Senior Biostatistician.
Showcase Your Problem-Solving Skills: Provide examples in your application of how you've successfully resolved issues in previous roles. This could include improving efficiency in statistical operations or addressing data quality issues, which are key responsibilities for this position.
How to prepare for a job interview at Everest Clinical Research
✨Understand the Role
Make sure you have a solid grasp of what a Senior Biostatistician does. Familiarise yourself with statistical methodologies, project management skills, and the specific responsibilities outlined in the job description. This will help you answer questions confidently and demonstrate your suitability for the role.
✨Prepare for Technical Questions
Expect to be asked about statistical analysis methods, sample size calculations, and data management processes. Brush up on your knowledge of ADaM and SDTM datasets, as well as any relevant programming languages or software tools. Being able to discuss these topics in detail will show your expertise.
✨Showcase Your Leadership Skills
Since the role involves leading projects and resolving issues, be prepared to share examples of how you've successfully managed teams or projects in the past. Highlight your ability to improve efficiency and productivity, as well as how you've earned client trust in previous roles.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask questions that show your interest in the company and the role. Inquire about their approach to quality control, how they support professional development, or what challenges the team is currently facing. This demonstrates your enthusiasm and commitment to contributing positively to the organisation.
