At a Glance
- Tasks: Lead statistical programming for clinical trials and non-interventional studies, ensuring quality and compliance.
- Company: Join Oracle, a global leader in cloud solutions with a commitment to innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a supportive culture that values diversity and community involvement.
- Why this job: Make a real impact in healthcare by guiding clinical study designs and analyses.
- Qualifications: Master’s degree in Statistics or Biostatistics with 5-8 years of relevant experience required.
The predicted salary is between 36000 - 60000 € per year.
Overview
Lead Biostatistician - Statistical Programming role at Oracle. The Lead Biostatistician builds and maintains trusted advisor relationships with clients and internal teams, focusing on delivering client value and fostering long-term growth. They are responsible for developing and leading high-performing project teams, ensuring all work is conducted in compliance with internal SOPs, ICH guidelines, industry standards, and regulatory requirements.
The role includes reviewing and approving biostatistics documentation and statistical programming outputs, overseeing project budgets and timelines, and ensuring overall quality and consistency across assigned accounts. The Lead Biostatistician contributes to talent acquisition, collaborates with Quality Management to establish and maintain SOPs and training programs, and provides advanced statistical expertise in planning and design of clinical trials and non-interventional studies (NIS).
Responsibilities
- Provide strategic statistical guidance on study design, including statistical model selection, sample size calculations, and analysis planning across clinical trials and non-interventional studies (NIS).
- Lead the development and programming of statistical analyses, tables, figures, and listings (TFLs) using SAS, ensuring alignment with sponsor requirements and internal standards.
- Generate and validate derived analysis datasets in compliance with CDISC ADaM standards.
- Author, review, and ensure rigorous quality control (QC) of Statistical Analysis Plans (SAPs) and related statistical documentation.
- Validate programming output (e.g., TFLs, datasets) generated by team members to ensure accuracy and consistency.
- Provide expert statistical input to study documents, including Case Report Forms (CRFs), Data Management Plans (DMPs), and clinical protocols.
- Oversee and ensure proper execution of randomization procedures.
- Conduct and interpret meta-analyses using statistical results from multiple published studies, ensuring scientifically robust conclusions.
- Lead the statistical review and interpretation of Clinical Study Reports (CSRs), ensuring alignment with the SAP and regulatory expectations.
- Proactively prioritize and manage multiple studies and projects to meet timelines and client expectations, balancing resources and risk.
- Serve as a primary statistical point of contact for internal and external stakeholders, providing clear, compliant, and insightful responses and guidance.
- Ensure all statistical deliverables meet applicable regulatory standards (e.g., ICH, GCP), industry guidelines, and internal SOPs.
- Foster and maintain trusted relationships with clients, leading communication on statistical matters and contributing to long-term collaboration.
- Drive the continuous improvement and development of internal statistical programming practices, guidelines, and SOPs.
- Mentor junior team members, contribute to training initiatives, and promote a high-performing, quality-focused team culture.
- Serve as a domain expert, integrating clinical, statistical, and industry best practices to design tailored solutions for complex client needs.
- Collaborate with cross-functional teams to deliver innovative, high-impact statistical strategies that align with client objectives.
Requirements
Education
- Master’s degree in Statistics, Biostatistics, or a related quantitative field is required with a minimum of 5-8 years of practical experience.
- PhD in a relevant field is highly preferred.
Experience
- Minimum 5–8 years of relevant experience in biostatistics, preferably in the pharmaceutical, CRO, or life sciences sector.
- Solid experience with non-interventional / observational studies and Phase 3 or Phase 4 clinical trials.
- Demonstrated experience working with CDISC standards (including SDTM and ADaM).
- Good knowledge of industry standards (CDISC, ICH E9, GCP).
- Proficiency in SAS and R programming with a minimum of 5 years of experience with both software.
- Prior experience acting as a client-facing lead statistician, including proposal support and study design.
- Strong understanding of project management, including budget management, timelines, and resource allocation.
- Experience mentoring or leading junior statisticians or project team members.
- Ability to further develop programming standards and research methods.
Skills
- Excellent communication skills (written and verbal) in English.
- Ability to manage multiple studies and clients simultaneously.
- Strong organizational skills and attention to detail.
- High level of initiative, accountability, and professionalism.
- Excellent skills and knowledge of MS Office and IT.
- Sound numerical reasoning.
- Highly analytical with a problem-solving approach.
Qualifications
Career Level - IC4
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Seniority level: Mid-Senior level | Employment type: Full-time | Job function: Consulting | Industries: IT Services and IT Consulting
Referrals increase your chances of interviewing at Oracle by 2x
Lead Biostatistician - Statistical Programming in City of London employer: Oracle
Oracle is an exceptional employer that fosters a collaborative and innovative work culture, providing Lead Biostatisticians with the opportunity to engage in meaningful projects that impact the healthcare sector. With a strong commitment to employee growth, Oracle offers comprehensive benefits, flexible working arrangements, and a supportive environment that encourages professional development and community involvement. Located in a vibrant area, employees enjoy a balanced work-life experience while contributing to cutting-edge solutions in biostatistics and clinical research.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Biostatistician - Statistical Programming in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your statistical analyses, programming projects, or any relevant work. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for interviews by researching common questions in biostatistics and statistical programming. Practice your responses and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that Lead Biostatistician role. We love seeing candidates who take the initiative to engage with us directly!
We think you need these skills to ace Lead Biostatistician - Statistical Programming in City of London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Biostatistician role. Highlight your experience in biostatistics, especially with clinical trials and CDISC standards, to show us you’re the perfect fit!
Showcase Your Skills:Don’t just list your skills—demonstrate them! Use specific examples from your past work that showcase your proficiency in SAS, R programming, and project management. We want to see how you’ve made an impact!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless necessary. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Oracle
✨Know Your Stats Inside Out
Make sure you brush up on your statistical knowledge, especially around biostatistics and clinical trials. Be prepared to discuss specific methodologies, like sample size calculations and statistical model selection, as these are crucial for the Lead Biostatistician role.
✨Showcase Your Programming Skills
Since proficiency in SAS and R is key, be ready to talk about your experience with these tools. You might even want to prepare examples of how you've used them in past projects, particularly in generating TFLs or validating datasets.
✨Demonstrate Leadership Experience
This role involves leading project teams, so highlight your experience in mentoring junior statisticians and managing multiple studies. Share specific instances where you successfully balanced resources and timelines while ensuring quality deliverables.
✨Build Rapport with Stakeholders
As a primary point of contact for clients, it's essential to show that you can foster trusted relationships. Prepare to discuss how you've effectively communicated complex statistical concepts to non-statistical stakeholders in previous roles.