At a Glance
- Tasks: Join us to programme and analyse clinical trial data using SAS and industry standards.
- Company: Dynamic company focused on innovative clinical research and data management.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous improvement and learning.
- Why this job: Make a real difference in healthcare by contributing to groundbreaking clinical studies.
- Qualifications: Experience in statistical programming and a passion for data analysis.
The predicted salary is between 54000 - 66000 £ per year.
Carry out all activities according to Tech Observer SOPs working within the framework of the Quality Management System and to Good Clinical Practice (GCP). Ensure adherence to programming guidelines.
Implement and follow the latest versions of CDISC, FDA Guidelines, GCP and other industry standards.
Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures and study related documentation (e.g. data validation guidelines).
Review and interpret Report and Analysis Plans and provide comments for assigned projects.
Develop and review SAS programs and output for the management of clinical trial data, the tabulation of data, preparation of patient data listings, graphical output, and creation of derived datasets and statistical analysis of data as specified in the Statistical or Report Analysis Plans.
Develop SAS programs for ad hoc tables and listings. Write, modify, and maintain programs that produce diagnostics and listing for data review in support of Data Management.
Carry out electronic data transfer (both incoming and outgoing). Develop and review programs to ensure the data transfer has been produced to specification.
Design and set-up utilities/SAS based systems to assist and facilitate Clinical Data Management activities.
Review draft and final production runs for projects to ensure quality and consistency.
Ensure quality of personal work and the work of the team when acting as a Lead Programmer or Biometrics Project Manager.
Assume team member responsibilities, including representing Statistical Programming at internal project team meetings, client meetings and audits.
With sufficient experience may support the activities of senior Statistical Programming staff by providing input into time and cost estimates and presentations to clients.
Advise Senior Statistical Programming staff of changes in scope of projects to enable the timely development of change orders.
Demonstrate excellent problem solving skills, a proactive approach and a willingness to take decisions on a regular basis.
Encourage and participate in the ongoing review of the processes used by the Statistical Programming group to ensure processes are continually improved.
Maintain awareness of new developments in programming techniques and IT which may be applied to the management and reporting of clinical trial data.
Perform other duties as assigned by senior Statistical Programming staff.
Statistical Programmer in Manchester employer: Tech Observer
At Tech Observer, we pride ourselves on being an exceptional employer, offering a collaborative work culture that values innovation and quality in clinical data management. Our commitment to employee growth is evident through continuous training opportunities and the chance to work on cutting-edge projects within a supportive team environment. Located in a vibrant area, we provide a unique advantage for our staff, fostering both professional development and a balanced lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land Statistical Programmer in Manchester
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
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If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Tech Observer. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Tech Observer!
We think you need these skills to ace Statistical Programmer in Manchester
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Tech Observer that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Tech Observer.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Tech Observer does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Tech Observer
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Tech Observer. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Tech Observer's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Tech Observer. This shows your passion for the industry!
