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- Tasks: Join our Biostatistics team to analyse data for groundbreaking gene therapies.
- Company: Orchard Therapeutics is dedicated to transforming patient lives through innovative gene therapies.
- Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
- Why this job: Make a real impact in healthcare while honing your programming skills in a dynamic setting.
- Qualifications: 3+ years of SAS programming experience and a degree in a related field required.
- Other info: This role offers hands-on experience in clinical drug development and teamwork with cross-functional groups.
The predicted salary is between 48000 - 72000 £ per year.
Location: London
Reporting to: Executive Director Biostatistics
The Senior Statistical Programmer at Orchard Therapeutics is a key member of a Biostatistics team working to provide transformative gene therapies to patients. This role provides a unique opportunity to use your programming skills in the production of data analyses from all phases of clinical drug development.
Key Elements and Responsibilities
- Perform programming activities across multiple studies or projects to deliver datasets and statistical outputs to agreed timelines and quality.
- Writing SAS programs to create analysis datasets, tables, listings, and figures.
- Adhere to CDISC standards for data management and analysis, including SDTM (Study Data Tabulation Model) and ADaM (ADAM Data Model).
- Deliver all required outputs to agreed timelines and quality, including analysis datasets, pooled datasets, tables, figures and listings for regulatory or reimbursement submissions and publications.
- Participate in the design and/or review of statistical programming deliverables including developing programming specifications for datasets and data outputs.
- Participate in the review of other biometrics deliverables including case report forms, study database structure, data management and data quality plans, statistical analysis plans.
- Oversight of statistical programming tasks outsourced to CROs, ensuring that their performance meets the agreed quality.
Required Knowledge
- 3+ years of experience in clinical trial SAS programming.
- Demonstrated knowledge of and experience in applying CDISC standards.
- Self-starter with the ability to work within a Biostatistics team.
Skills and Abilities
- Proficiency with SAS programming and SAS macro code development required along with a good understanding of SAS GRAPH and SAS ODS.
- Understanding of clinical trial data and terminology.
- Strong attention to detail and accuracy.
- Excellent written and verbal communication skills.
- Experience working with cross-functional groups.
- Ability to manage multiple priorities and work effectively under pressure.
- Knowledge of R would be an advantage.
Education
- BSc or higher in mathematics, statistics, computer science or related discipline.
Senior Statistical Programmer employer: Orchard Therapeutics
Contact Detail:
Orchard Therapeutics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Statistical Programmer
✨Tip Number 1
Familiarise yourself with CDISC standards, especially SDTM and ADaM. Understanding these frameworks will not only enhance your programming skills but also demonstrate your commitment to quality in data management.
✨Tip Number 2
Brush up on your SAS programming skills, particularly in creating analysis datasets and outputs. Consider working on sample projects or contributing to open-source initiatives to showcase your proficiency.
✨Tip Number 3
Network with professionals in the biostatistics field, especially those who work with clinical trials. Attend relevant conferences or webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 4
Prepare to discuss your experience with cross-functional teams during interviews. Highlight specific examples where you collaborated effectively, as this is crucial for the role at Orchard Therapeutics.
We think you need these skills to ace Senior Statistical Programmer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in SAS programming and clinical trials. Emphasise your familiarity with CDISC standards and any relevant projects you've worked on that align with the responsibilities of the Senior Statistical Programmer role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for biostatistics and gene therapy. Mention specific examples of how your skills and experiences make you a great fit for the position, particularly your ability to deliver high-quality outputs under tight deadlines.
Showcase Relevant Skills: Clearly outline your proficiency in SAS programming, including any experience with SAS macro code development and SAS GRAPH. If you have knowledge of R, be sure to mention it as an added advantage.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. Attention to detail is crucial in this field, so ensure your application reflects that quality.
How to prepare for a job interview at Orchard Therapeutics
✨Showcase Your SAS Skills
Make sure to highlight your proficiency in SAS programming during the interview. Be prepared to discuss specific projects where you've used SAS to create analysis datasets, tables, and figures, as this is a key requirement for the role.
✨Understand CDISC Standards
Familiarise yourself with CDISC standards, particularly SDTM and ADaM. Be ready to explain how you've applied these standards in your previous work, as this knowledge is crucial for the position.
✨Demonstrate Attention to Detail
Since accuracy is vital in statistical programming, prepare examples that showcase your attention to detail. Discuss how you ensure quality in your outputs and how you handle data management tasks.
✨Communicate Effectively
Strong communication skills are essential for collaborating with cross-functional teams. Practice articulating your thoughts clearly and concisely, and be ready to discuss how you've worked with others in past projects.
