Contract: Permanent full-time
Location: Belfast office
Salary: £25K – £30K + attractive benefit package (based on experience)
Application Process: We welcome direct applications from candidates, and we request that recruitment agencies do not send us applications/CVs unless explicitly invited to do so in respect of any advertised vacancy.
Who is Exploristics?
Exploristics optimise clinical trials design & execution, giving companies the best chance of successfully getting their treatments to the people that need them. Combining science, technology, creativity and imagination we are helping customers to bring new medicines, diagnostics & devices to patients where there are critical unmet needs around the world.
We deliver high-value technical and scientific support and innovative analytics solutions to clients at all stages of clinical development, from global pharmaceutical companies to small specialist biotechnology ventures. In addition, our flagship simulation platform KerusCloud has enabled our customers to achieve real world success by transforming their clinical development plans.
For more information visit our website: https://exploristics.com/
Why is this role important?
Exploristics accelerates clinical development by offering a uniquely targeted approach. We integrate comprehensive biostatistical services with proprietary software products to reduce the risks, costs and duration of clinical development through a data-driven approach. We have experience working with Big Pharma, Biotech, SMEs and academia on several projects spanning the field of clinical studies in multiple therapeutic areas as well as real-world studies. We take pride in establishing close working relationships with our clients to provide strategic insights and flexible resources and expertise that make a significant impact for our clients across all stages of clinical development, from protocol review, study design, analysis and reporting and real world evidence.
Why you should apply?
Do you want to be at the forefront of statistical innovations, leading the way on clinical trial design and analysis? Are you looking for an opportunity that offers you a flexible work solution and one that will take your career to the next level of responsibility? Would you like to join a dynamic, growing firm where you can really make an impact, not just on the company but to accelerate drug development and ultimately benefit patients?
We are looking for passionate and motivated statisticians to work within our Services team to deliver high quality, innovative, analytical services within a clinical setting as our KerusCloud platform moves into the next phase.
We offer a competitive salary with extensive benefits including generous holiday entitlement (37 days), pension scheme and private health insurance. We provide a fantastic opportunity for professional development both through formal training and through exposure to a variety of challenges with the chance to learn and develop new skills.
- Draft and review sections of statistical documents e.g. statistical analysis plans (SAPs) or reports under supervision
- Follow specifications for programming and creating datasets under supervision
- Follow SAPs and program summary tables, figures and listings (TFLs) under supervision
- Perform analyses as part of a team, under supervision
- Compare study TFL shells, case report forms (CRF) and SAPs with guidance and provide review comments to lead statistician
- Master’s degree in Medical Statistics/Statistics
- Experience in handling data and producing summary results
Any of the following would be desirable:
- Familiar with a programming language e.g. R, SAS or Python
- Motivated to learn new skills and develop their existing skill set
- Inquisitive personality with the ability to problem solve and demonstrate attention to detail
- Great teamwork attitude and ability to work independently when required
- Good written and verbal communication skills
- Can take their own initiative
Please note the successful applicant will be asked for proof of the right to work in the UK.
About the Academy
As an Academy member, you will receive close support and guidance throughout the in-house training programme from our experienced statisticians and statistical programmers. This training is designed to help you develop your skillset as a statistician, and to take on projects with confidence.
Phase I – Training begins with a thorough 6-week SAS programming schedule. You will be guided through programming standards and practices by our expert trainers, with opportunities for practical application to help with the learning process. This initial phase concludes with a practical SAS assessment to demonstrate your progression.
Phase II – Incorporating elements of statistical methodology and programming, the second phase moves towards customer project-based scenarios where you will be given the opportunity to put into practice the concepts you learnt in phase I. This phase will also encourage self-learning, and allow you to develop your research, communication and customer-relation skills throughout the remainder of the academy. Having passed phase 1 and 2 assessments, you will then graduate from the program.
We have a culture of exploring the possible and striving for better. Brilliant people augmented by clever technology. We strongly believe in an inclusive and supportive work culture and recognise the changing demands of family life and the need for flexibility in working arrangements to meet these needs.
We offer a competitive salary with extensive benefits including;
- Generous holiday entitlement (37 days)
- Flexible working
- Pension scheme and private health insurance
- Professional development both through formal training and through exposure to a variety of challenges with the chance to learn and develop new skills
If you would like to find out more, I would be delighted to hear from you, Meabh McCurdy, Analytics Academy Team Lead (Meabh.firstname.lastname@example.org)
To apply, please send a CV and cover letter by the closing date quoting job reference to Kerry Chandler, HR Officer (email@example.com)
Closing date is 31st December 2023.