At a Glance
- Tasks: Provide programming support for clinical trials and collaborate on diverse projects.
- Company: Veramed, a unique CRO focused on quality and employee development.
- Benefits: Competitive salary, flexible working options, and extensive training opportunities.
- Other info: Warm environment with opportunities for personal and professional growth.
- Why this job: Join a supportive team and make a real impact in the clinical research field.
- Qualifications: BSc, MSc or PhD in a numerical discipline with 4+ years of industry experience.
The predicted salary is between 50000 - 65000 £ per year.
Veramed prides itself on two key areas: providing the highest quality statistics and programming consultancy for its clients, and giving its employees an industry leading working environment with support and training for career growth.
We have an exciting opportunity for Senior Statistical Programmers to join us on a permanent basis in the UK.
We can offer home and/or office working, training and support and a competitive package.
The purpose of the role is to provide programming support to the statistics and programming department across a range of projects, clients and therapeutic areas.
Key Responsibilities
- Technical
- Perform consistency review of clinical trial documents including protocols, SAPs, CRFs, CSRs
- Author and review simple and complex study TFL shells
- Author and review simple and complex dataset standards
- Perform data checks and data exploration (e. g. using frequencies, histograms)
- Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice
- Complete and review CDISC Validation tool reports
- Ensure the appropriate standards are being applied and adhered to
- Familiarisation with simple statistical techniques (e. g. t-test, ANOVA, regression, standard survival)
- Review of project management related documents
- Maintain study master file documents and any other documents that are required to be audit ready
- General
- Lead internal and client study team meetings effectively
- Present study updates internally and at client meetings
- Share scientific, technical and practical knowledge within the team and with colleagues
- Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training
- Build effective collaborative working relationships with internal and client team members
- Seek opportunities to develop innovative ideas, sharing when appropriate
- Line management or mentorship of more junior team members
- Contribution to development of internal training materials
- Contribution to internal process improvement initiatives
- Minimum Qualification Requirements
- BSc, MSc or Ph D in numerical discipline (or relevant equivalent industry experience)
- At least 4 years of relevant industry experience
- What To Expect
- A warm, friendly working environment in which to thrive both personally and professionally.
- A supportive, open-door management policy that will aid in your development and provide you with the tools to take your career to the next level.
- A truly unique CRO that’s doing something different when it comes to managing staff, projects and building relationships in the industry.
- The ability to own your role and develop your skills and experience.
Senior Statistical Programmer - UK (Remote/Office/Hybrid) in Cheltenham employer: Veramed
Veramed is an exceptional employer that prioritises a diverse and inclusive workplace, offering a collaborative environment where innovative financial strategies thrive. As a Commercial Finance Director, you will have access to robust professional development opportunities and the chance to work closely with senior leadership, making a significant impact on the company's performance. Located in a vibrant area, Veramed provides a supportive culture that values employee growth and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Statistical Programmer - UK (Remote/Office/Hybrid) in Cheltenham
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We think you need these skills to ace Senior Statistical Programmer - UK (Remote/Office/Hybrid) in Cheltenham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Veramed. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Veramed
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Veramed!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
