Medical Data Manager

Medical Data Manager

Job Title: Medical Data Manager.

Location: Oxford, Hybrid.

Reporting to: Head of Artificial Intelligence.

Contract Type: Permanent, full-time.

Salary: £37,000 (mid) or £49,000 (senior) depending on level of experience.

Who we are

Akrivia Health are global leaders in the application of real-world data & evidence for mental health and dementias, providing valuable insights for research. With the largest and richest repository of real-world data in the world, we enable our clients and collaborators to accelerate clinical trials and to identify, develop and deliver effective new drugs, devices and services to patients and caregivers. We provide our research support and data curation services to the NHS for free, in order to support mental health provision, service improvement and improved patient outcomes across our network. Our Precision Neuroscience Initiative – GlobalMinds – is creating the UK’s largest biobank of patients with mental health conditions to transform research and alleviate disease burden in this area of critical unmet medical needs.

Role Description

We are seeking a highly skilled and motivated Medical Data Manager to manage, augment, and harmonize medical data for Akrivia Health. The ideal candidate will have strong technical expertise in Python, SQL, and data science, combined with a keen understanding of data management in the medical or healthcare domain. This role is critical in ensuring our data is accurate, reliable, and optimized for decision-making processes and research initiatives.

Duties and Responsibilities

· Data Management and Integration: Collect, clean, and organize medical data from diverse sources, ensuring it is accurate and up to date.

· Data Harmonization: Standardize and harmonize data formats, coding systems, and structures to facilitate interoperability and consistency across datasets.

· Database Development and Maintenance: Design, implement, and maintain robust databases for storing and retrieving medical data efficiently.

· Data Analysis and Augmentation: Use Python and data science techniques to analyze and enhance data quality and usability. Identify gaps and implement augmentation strategies.

· ETL Pipelines: Develop and manage Extract, Transform, and Load (ETL) processes for seamless data workflows.

· Collaboration: Work closely with clinicians, researchers, and IT teams to understand data needs and ensure solutions align with organizational goals.

· Compliance: Ensure all data activities adhere to regulatory requirements, including HIPAA, GDPR, and other relevant standards.

Qualifications & Experience

Essential

Technical Skills:

· Proficiency in Python for data manipulation and analysis (e.g., pandas, NumPy, scikit-learn).

· Strong SQL skills for querying and managing relational databases.

· Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).

· Familiarity with cloud platforms and tools (e.g., AWS, Azure, Google Cloud) is a plus.

Domain knowledge:

· Understanding of medical coding systems (e.g., ICD, SNOMED), electronic health records (EHR), and healthcare data standards (e.g., HL7, FHIR).

Soft Skills:

· Excellent problem-solving, communication, and collaboration skills.

Desirable

· Experience with machine learning techniques and frameworks.

· Knowledge of statistical analysis and modelling.

· Familiarity with regulatory compliance in medical data management.

Why Join Us?

· Opportunity to work on impactful projects that improve healthcare outcomes.

· Collaborative and innovative work environment.

· Professional development and career growth opportunities.

Our Culture

This is an exciting opportunity to join a dynamic and friendly team who are passionate about making positive changes in people’s lives. At Akrivia Health, our culture is one of integrity, respect, collaboration and trust.

Benefits;

● Competitive salary package, depending on skills and experience.

● Pension scheme with the opportunity to receive employer contributions.

● 25 days annual leave, plus the bank holidays (+3days after 3 years).

● Health insurance package after probation completion.

● Fantastic learning and development opportunities, including an annual training budget.

● Hybrid working – minimum 2 days per week in office in Oxford & London.

Our commitment to equality, diversity and inclusion

At Akrivia Health we understand that a diversity of perspectives not only fosters innovation, creativity and learning, but is also crucial for understanding and addressing the challenges in mental health and dementia. We are a committed equal opportunities employer and encourage applications from all individuals, regardless of their race, gender, disability or background.

Right to work:

We have a legal responsibility to ensure that you have the right to work in the UK before you can start working for us. If you do not have the right to work in the UK already, any offer of employment we make to you will be conditional upon you gaining it.

Please submit your CV and cover letter to recruitment@akriviahealth.com by 27th January 2025. Due to the high volume of applications, we are only able to respond to those selected for interview. If you require any reasonable adjustments during the interview process, please do let us know so we can make suitable arrangements for you.

To find out more about us please visit: https://akriviahealth.com/

We look forward to hearing from you!

Akrivia Health

Changing the trajectory of research within neuroscience