Clinical Data Scientist

Job title:

Clinical Data Scientist

Company

NorthWest EHealth Limited

Job description

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

Benefits:

• 27 days annual leave increasing with length of service.
• Hybrid working policy
• Flexible working hours
• Health cash plan
• Wellbeing support
• Life assurance
• Stakeholder pension scheme
• Positive and supportive environment
• Access to training resources

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.

Expected salary

Location

Greater Manchester

Job date

Fri, 14 Mar 2025 23:33:00 GMT

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