Senior Clinical Data Analyst

Senior Clinical Data Analyst

Abingdon Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead clinical data management for phase 1 trials, ensuring data quality and integrity.
  • Company: Join an innovative SME focused on software solutions for the pharmaceutical and healthcare sectors.
  • Benefits: Enjoy opportunities for skills development, mentorship, and a collaborative work environment.
  • Why this job: Be part of impactful projects, enhance your expertise, and engage with diverse teams.
  • Qualifications: Degree in Life Science, 2+ years in clinical data management, strong communication skills required.
  • Other info: Mentorship opportunities available for junior analysts.

The predicted salary is between 43200 - 72000 £ per year.

Nicholas Howard have are delighted to be recruiting for a Senior Clinical Data Analyst to join our client, an SME specialising in the development of software products and eCOA for the pharmaceutical and healthcare sectors. As the business continues to grow, this is an excellent opportunity to play a key and leading role within study teams across a number of client phase 1 trials, alongside a project manager, on the end to end provision on clinical data. The nature of an SME comes with great exposure to all aspects of the role, client engagement, and working with multiple internal and external teams, providing a great platform for skills development and growth. The role is responsible for: Study & Data Management •Conduct data management services ensuring high quality and completeness of data from collection to final database lock. •Compile Data Management Plans (DMPs), Data Validation Specification (DVS, with input from the Data Science team), and Data Transfer Specifications (DTS). •Complete monthly data reconciliations, raising queries to site and sponsor, and generating reports to support this per the DMP, DVS, and DTS. •Conduct data cleaning activities including data review and validation checks, query and data issue generation and Data Change Request (DCR) management. •Prepare study datasets for execution of data transfers and/or statistical analysis. •Conduct database lock activities, including offboarding user access and conducting quality control review of lock documentation. •Liaise with Project Management and Product Management to archive study documentation and data, and ePRO system data. In addition: •Develop clinical study training materials including training guides, system manuals and e-learning presentations utilising the Learning Management System (LMS), liaising with the Product and Science teams as required. •Conduct site and user onboarding activities including account management. •Provide helpdesk support for clinical study and/or technical issues using the internal ticketing system (Freshdesk) to monitor study progress and ensure key performance metrics are met. Communications •Develop positive and constructive professional relationships with client and study project lead •Prepare for, lead, and capture output of study, site, and/or data-related Client interactions and meetings •Maintain close interactions with the Data Science team to ensure optimised study support and knowledge sharing •Form proactive partnership with third-party vendors hosting in-study calls where required •Proactively contribute to study delivery process improvements, author and/or review company SOPs and guidelines relevant to Data Management activities Line Management •Personnel management and/or mentorship of junior Clinical Data Analysts or Clinical Data Associates, as required •Evaluate direct reports’ performance and provide feedback •Pursue training opportunities and/or continuous professional development Skills and experience •Graduate with a Life Science, or equivalent degree (IIi or above) and/or a higher degree •Experience (minimum 2 years) of clinical data management required •Therapeutic experience in CNS desirable •Experience of GCP and Clinical Trial regulations specifically related to Data integrity, Data Management and Computer Systems required •Knowledge of Microsoft Office, Excel skills, Python or Power BI tools an advantage •Excellent organisational, planning and time management skills •Strong prioritisation skills and be flexible to adapt plans •Excellent communications skills – written and verbal •A concern for quality, attention to detail, and accuracy •Excellent logical, analytical, and problem-solving skills •Confidence in decision-making •Ability to work flexibly and to tight deadlines when required •Ability to work effectively with others •Background in mentoring junior staff desirable Please apply with CV in the first instance for more information

Senior Clinical Data Analyst employer: Nicholas Howard Ltd

Join a dynamic SME that is at the forefront of developing innovative software products and eCOA solutions for the pharmaceutical and healthcare sectors. As a Senior Clinical Data Analyst, you will benefit from a collaborative work culture that encourages professional growth and offers exposure to all facets of clinical data management. With opportunities for mentorship and skills development, this role provides a unique platform to make a meaningful impact in phase 1 trials while working closely with diverse teams and clients.
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Contact Detail:

Nicholas Howard Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Clinical Data Analyst

✨Tip Number 1

Familiarise yourself with the specific software products and eCOA systems used in the pharmaceutical and healthcare sectors. Understanding these tools will not only help you during interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Network with professionals in the clinical data management field, especially those who have experience in SMEs. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Prepare to discuss your experience with data management plans and reconciliation processes in detail. Be ready to share specific examples of how you've handled data integrity issues or improved data management workflows in previous roles.

✨Tip Number 4

Showcase your mentoring skills by preparing examples of how you've supported junior staff in the past. This will highlight your leadership potential and align with the company's focus on personnel management and development.

We think you need these skills to ace Senior Clinical Data Analyst

Clinical Data Management
Data Validation
Data Cleaning
Database Lock Activities
Data Transfer Specifications (DTS)
Data Management Plans (DMPs)
Data Reconciliation
Statistical Analysis Preparation
Project Management
Client Engagement
Communication Skills
Mentorship
Problem-Solving Skills
Attention to Detail
Organisational Skills
Time Management
Knowledge of GCP and Clinical Trial Regulations
Microsoft Office Suite
Excel Proficiency
Python or Power BI Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in clinical data management, particularly any roles that involved data cleaning, database lock activities, or working with project management. Use keywords from the job description to align your skills with what the company is looking for.

Craft a Strong Cover Letter: Write a cover letter that showcases your passion for the role and the industry. Mention specific experiences that demonstrate your ability to manage clinical data and your familiarity with GCP and Clinical Trial regulations. Personalise it to reflect why you want to work with this particular SME.

Highlight Communication Skills: Since the role involves liaising with various teams and clients, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've successfully managed client interactions or led meetings in previous roles.

Showcase Problem-Solving Abilities: Include examples in your application that illustrate your analytical and problem-solving skills. Discuss specific challenges you've faced in data management and how you overcame them, as this will demonstrate your capability to handle the responsibilities of the role.

How to prepare for a job interview at Nicholas Howard Ltd

✨Showcase Your Data Management Experience

Be prepared to discuss your previous experience in clinical data management. Highlight specific projects where you ensured data quality and completeness, as this role heavily relies on these skills.

✨Demonstrate Communication Skills

Since the role involves liaising with various teams and clients, practice articulating your thoughts clearly. Prepare examples of how you've successfully communicated complex data issues or findings in past roles.

✨Familiarise Yourself with Relevant Tools

Brush up on your knowledge of Microsoft Office, Excel, and any experience you have with Python or Power BI. Be ready to discuss how you've used these tools in your previous roles to manage and analyse data.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Think of scenarios where you had to manage data discrepancies or improve processes, and be ready to explain your approach and the outcomes.

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