Senior Clinical Data Scientist
Senior Clinical Data Scientist

Senior Clinical Data Scientist

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

  • Tasks: Lead health data projects to improve patient outcomes and manage a small team.
  • Company: LifeArc is a not-for-profit organisation transforming lives through innovative health solutions.
  • Benefits: Enjoy flexible benefits, private health insurance, and 31 days of annual leave plus bank holidays.
  • Why this job: Make a real impact on patients' lives while growing in a supportive and inclusive environment.
  • Qualifications: BSc, MSc or PhD in a relevant field with experience in health data analysis required.
  • Other info: We encourage diverse applicants; your unique background could be the perfect fit!

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

This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.

Job Title: Senior Clinical Data Scientist
Location: London
Job Type: Permanent

Agencies: We will only work with recruitment partners on our preferred supplier list and will not engage with speculative CVs submitted.

Are you passionate about making life science life changing and delivering impact for patients? We want to hear from you.

About the role:

Join LifeArc\’s multidisciplinary data sciences group, where our clinical data science team actively works on a diverse portfolio of health data projects and plans larger initiatives. These efforts focus on utilizing and generating health data to make a real and tangible difference for patients, including receiving diagnoses, joining trials, making treatment decisions, and otherwise impacting the course of their health condition

This role is pivotal in driving meaningful patient outcomes through the strategic use of health data, and line manage 1-2 direct reports. As an expert, you will lead and oversee the planning and execution of health data projects. These projects will leverage data from LifeArc, collaborators, partners, and public sources, including electronic health records, patient registries, population health data, and clinical studies/trials.

Key responsibilities include:

  • Connecting higher-level strategies to practical execution by providing subject matter expertise within a team of over six clinical data scientists, including 1-2 direct reports.
  • Leading project planning, data processing, descriptive and statistical analyses, and standard machine learning projects.
  • Maintaining and sharing knowledge of LifeArc-relevant UK and international health data resources.
  • Leading and collaborating on preparing and submitting data access proposals.
  • Developing, documenting, and standardizing reusable code (preferably in Python, also R) and practices (Git) for LifeArc\’s Data Sciences Group.
  • Collaborating on scientific questions and data solutions with internal and external stakeholders.
  • Reporting project progress to Scientific Directors, Principal Data Scientists, Director of Data Sciences, and senior leadership as required.
  • Writing summary reports on methodology and findings and presenting them to stakeholders.
  • Collaborating with other Data Sciences functions as required (AI/ML, data engineering, bioinformatics, cheminformatics).
  • Contributing to LifeArc project management and governance processes.

Education & experience required:

  • BSc, MSc or PhD academic qualification with a data science element can be beneficial to execution of research-type studies and collaborations, or relevant experience (e.g. US-CHDA, industry training programmes).
  • Significant applied experience with at least one health data resource (e.g., CPRD, NHS SDEs, patient registry, SAIL, Genomics England, UK Biobank, Our Future Health)
  • Proficiency in statistical and/or machine learning analysis of health data
  • Experience in Trusted Research Environments (TREs) or similar (Data Safe Haven, Secure Data Environment)
  • Familiarity with medical codes, data dictionaries, and disease classification systems (e.g., SNOMED CT, ICD10, Read codes)
  • Strong programming skills in Python (R will be considered)

Desirable:

  • Knowledge of biology or clinical practice related to specific health conditions
  • Experience in developing clinical decision support tools or AI as a Medical Device
  • Secondary programming language
  • Fundamental system administration of Linux/Unix-like OS, Windows OS, including command line level
  • Preferably experience leading and mentoring.

Skills & abilities:

  • Project leadership and management
  • Scientific communication and strong presentation and writing skills.
  • Collaboration and networking
  • Good understanding of ethics and regulations around personal data use.

About us:

LifeArc is a not-for-profit life science organisation, leading the way for change in rare diseases in the UK and supporting promising initiatives in global health. We seek out research in areas of unmet need that has great potential, providing support to help it become breakthroughs that change lives.

What we can offer you:

Focused on finding life changing solutions for underserved patients, our people thrive in an inclusive, and supportive environment that prioritises their health and wellbeing. Our multidisciplinary approach guarantees our people growth opportunities, while our culture of innovation and collaboration drives the impact we make delivering on our purpose of \’putting patients at the centre of everything we do\’.

We are dedicated to creating a diverse, flexible, equitable and happy work environment so our colleagues can thrive as their truest selves. We act with courage, curiosity, care & commitment to deliver quality & excellence for our patients and each other Join us, and you\’ll be given the scope to develop your professional skills and experience in a safe, supportive and challenging environment

Salary will be determined by qualifications and experience along with other exceptional benefits. Because we understand everyone has different requirements, our flexible benefits allow you to choose those which are important to you. Our pension scheme offers employer contributions of up to 12%, private health insurance, and annual leave of 31 days PLUS bank holidays.

Don\’t meet every single requirement? Studies have shown that women and people from minority ethnic backgrounds, for example, are less likely to apply to jobs unless they meet every single qualification. At LifeArc we are dedicated to building a diverse, inclusive, and authentic workplace, so whatever your background or lived experience, if you\’re excited about this role but your experience doesn\’t align perfectly with every qualification in the job description, we encourage you to apply anyway. Our top priority is finding the best candidate, and you may be just right for this or other roles.

We all have potential. At LifeArc, you\’ll discover what you can really do with it.

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Senior Clinical Data Scientist employer: LifeArc

LifeArc is an exceptional employer located in London, dedicated to making a meaningful impact in the life sciences sector. Our inclusive and supportive work culture prioritises employee wellbeing and offers ample growth opportunities through collaboration and innovation. With a focus on patient-centred solutions, we provide a flexible benefits package, including generous annual leave and a robust pension scheme, ensuring our team can thrive both personally and professionally.
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Contact Detail:

LifeArc Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Familiarise yourself with the specific health data resources mentioned in the job description, such as CPRD and UK Biobank. Understanding these resources will not only help you during interviews but also demonstrate your commitment to the role.

✨Tip Number 2

Network with professionals in the life sciences and clinical data fields. Attend relevant conferences or webinars where you can meet people from LifeArc or similar organisations, as personal connections can often lead to job opportunities.

✨Tip Number 3

Brush up on your programming skills, particularly in Python and R. Consider working on a small project that showcases your ability to process and analyse health data, which you can discuss during your interview.

✨Tip Number 4

Prepare to discuss your experience with project leadership and management. Think of specific examples where you've successfully led a team or project, as this is a key responsibility for the Senior Clinical Data Scientist role.

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

Statistical Analysis
Machine Learning
Health Data Resource Expertise
Python Programming
R Programming
Data Processing
Project Management
Scientific Communication
Collaboration Skills
Knowledge of Medical Codes
Understanding of Ethics and Regulations
Experience in Trusted Research Environments
Presentation Skills
Mentoring and Leadership

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Clinical Data Scientist role. Focus on your expertise in health data resources, statistical analysis, and programming languages like Python.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for life sciences and how your background can contribute to LifeArc's mission. Mention specific projects or experiences that demonstrate your ability to drive meaningful patient outcomes.

Highlight Leadership Experience: Since this role involves line management, emphasise any previous leadership or mentoring roles you've held. Provide examples of how you successfully led projects or teams in the past.

Showcase Communication Skills: Given the importance of scientific communication in this role, include examples of reports or presentations you've created. Highlight your ability to convey complex data insights to various stakeholders.

How to prepare for a job interview at LifeArc

✨Showcase Your Technical Skills

As a Senior Clinical Data Scientist, you'll need to demonstrate your proficiency in Python and statistical analysis. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your code or analyses to share during the interview.

✨Understand Health Data Resources

Familiarise yourself with key health data resources mentioned in the job description, such as CPRD and UK Biobank. Being able to discuss how you've used these resources in past projects will show your expertise and relevance to the role.

✨Prepare for Project Management Questions

Since this role involves leading projects and managing direct reports, be ready to discuss your project management experience. Think of specific examples where you've successfully led a team or project, highlighting your leadership style and how you handle challenges.

✨Emphasise Collaboration and Communication

Collaboration is key in this role, so prepare to talk about your experience working with diverse teams and stakeholders. Highlight any instances where your communication skills helped bridge gaps between technical and non-technical team members.

Senior Clinical Data Scientist
LifeArc
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