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- Tasks: Manage and analyse clinical trial data to ensure high-quality datasets.
- Company: Join NWEH, a leader in innovative clinical trials with access to 20 million patient records.
- Benefits: Enjoy flexible working hours and options for remote work.
- Why this job: Be part of reshaping clinical trials while collaborating with diverse teams and using cutting-edge technology.
- Qualifications: Strong academic background in Data Science or related fields; experience in clinical data science is essential.
- Other info: Office based in Greater Manchester with flexible arrangements available.
The predicted salary is between 36000 - 60000 £ per year.
As a market leader offering incomparable, industry advancing patient record access via state-of-the-art search and recruit technology, NWEH stand for real discovery. Powered by our network of diverse patient populations, we go further, faster – to deliver true-to-life full service clinical trials. Our ever-growing decentralized tech enabled clinical trials business with industry dominating access to 20 million patient records, attests that we are world leaders in our field. Our model ensures broader, more diverse cohorts to better reflect real-world populations.
At NWEH our focus isn\’t just about technology; it\’s about reshaping how clinical trials are designed and delivered in the UK and beyond.
Job purpose:
NWEH are recruiting a Clinical Data Scientist who will play a critical role in managing, analysing, and transforming clinical trial and real-world healthcare data.
The Clinical Data Scientist will work as part of the Technical Team to support the delivery of validated data solutions through their work on study dataset generation, data quality assurance, statistical analysis, and clinical coding.
This role requires expertise in clinical data standards and biostatistics, and experience of working within a regulated environment.
Responsibilities:
- Develop and maintain SDTM/CDISC compliant datasets.
- Conduct data transformation, validation, and quality control for clinical study data.
- Work with clinical coded data (SNOMED CT, MedDRA, WHO-DD) and electronic medical records (EMR) for real-world evidence (RWE) generation.
- Provide expertise in terminology management and data mapping across various terminology schemas.
- Contribute to data analytics, data management, and data quality initiatives to ensure high-integrity clinical datasets.
- Collaborate with software engineers and data teams to integrate data pipelines into our platforms.
- Ensure ongoing adherence to GCP, regulatory requirements, and industry best practices.
- Explore and contribute to the emerging and appropriate application of AI and ML in NWEH products and services.
- Provide statistical and data analytics expertise to internal teams and clients.
Person Specification:
Essential:
- Strong academic background with a good degree in a relevant field (e.g., Data Science, Biostatistics, Computer Science, Mathematics, Bioinformatics, or a related discipline) or relevant hands-on experience in clinical data science, biostatistics, or statistical programming.
- Experience with clinical trial dataset generation and standards.
- Understanding of regulatory guidelines for clinical trials.
- Proficiency in R, STATA or SAS for data analysis and statistical modelling.
- Experience in clinical coding (e.g., SNOMED CT, ICD, MedDRA, WHO-DD).
- Knowledge of real-world data (RWD), and EMR/EHR integration.
- Strong problem-solving skills and the ability to work independently in a fast-paced environment.
- Excellent collaboration skills and experience working in a cross-functional technical team.
Desirable:
It would be attractive if you also have:
- Experience with SDTM dataset generation, CDISC standards.
- Clinical data management experience.
- Prior experience working in a regulated environment.
- Experience working as part of an Agile/Scrum software product development team.
- Experience using relevant cloud services, in particular services in Microsoft Azure.
One or more of the following qualifications would be a strong advantage, but are not essential for this role:
- NCCQ (UK) – National Clinical Coding Qualification
- MedDRA Certification
- CDISC SDTM Certification
- SAS Certified Clinical Trials Programmer
- ICH-GCP Certification
Report to: Head of Analytics.
Location: Office based in Greater Manchester – Bright Building, Manchester Science Park, flexible office/home-based arrangements are available.
Hours of work: Monday to Friday, 37.5 hours in total, flexible office hours are available. #J-18808-Ljbffr
Clinical Data Scientist employer: NorthWest EHealth Limited
Contact Detail:
NorthWest EHealth Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Data Scientist
✨Tip Number 1
Familiarise yourself with SDTM and CDISC standards, as these are crucial for the role. Consider taking online courses or certifications to deepen your understanding, which will not only boost your confidence but also demonstrate your commitment to the field.
✨Tip Number 2
Network with professionals in the clinical data science field, especially those who work with NWEH or similar organisations. Attend industry conferences or webinars to make connections and learn about the latest trends and technologies that could be beneficial for your application.
✨Tip Number 3
Brush up on your skills in R, STATA, or SAS, as proficiency in these tools is essential for data analysis and statistical modelling. You might want to work on personal projects or contribute to open-source initiatives to showcase your abilities.
✨Tip Number 4
Prepare to discuss your experience with clinical coding and real-world data during interviews. Be ready to provide examples of how you've successfully managed and analysed clinical trial data, as this will highlight your practical knowledge and problem-solving skills.
We think you need these skills to ace Clinical Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in clinical data science, biostatistics, and statistical programming. Emphasise your proficiency in R, STATA, or SAS, and any experience with clinical coding and dataset generation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for clinical trials and data analysis. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work in a cross-functional team.
Highlight Relevant Qualifications: If you have any certifications such as NCCQ, MedDRA Certification, or CDISC SDTM Certification, be sure to mention them. These qualifications can set you apart from other candidates.
Showcase Your Understanding of Regulations: Demonstrate your knowledge of regulatory guidelines for clinical trials in your application. This shows that you are familiar with the standards expected in a regulated environment, which is crucial for this role.
How to prepare for a job interview at NorthWest EHealth Limited
✨Know Your Data Standards
Familiarise yourself with SDTM and CDISC standards, as well as clinical coding terminologies like SNOMED CT and MedDRA. Be prepared to discuss how you've applied these standards in your previous work.
✨Showcase Your Analytical Skills
Be ready to demonstrate your proficiency in R, STATA, or SAS. You might be asked to solve a data analysis problem on the spot, so brush up on your statistical modelling techniques.
✨Understand Regulatory Guidelines
Make sure you have a solid grasp of GCP and other regulatory requirements for clinical trials. Highlight any experience you have working in regulated environments during the interview.
✨Emphasise Collaboration Experience
Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with software engineers or data teams in the past. This will show your ability to work effectively in a team setting.