79 Lead Statistician jobs in the United Kingdom
Lead HTA Statistician
Posted today
Job Viewed
Job Description
Are you experienced in Biostatistics and looking for an exciting new challenge where you can assist in increasing biostatistics capabilities?
Proclinical is seeking a Lead HTA Statistician to lead the design and execution of statistical analyses, including meta-analyses, feasibility assessments, and indirect treatment comparisons (ITCs). You will collaborate closely with cross-functional teams, provide strategic advice on methodologies, and contribute to business development by promoting biostatistical services to clients. This role also involves mentoring and training team members while ensuring high-quality project delivery. This position requires a blend of technical expertise, project management skills, and the ability to communicate complex statistical concepts effectively to diverse audiences.
Responsibilities:
- Design and lead statistical analyses, including meta-analyses and ITCs.
- Conduct feasibility assessments and ensure adherence to regulatory and HTA guidelines.
- Collaborate with cross-functional teams to support systematic literature reviews and related communications.
- Provide strategic advice on statistical methodologies and best practices.
- Build and maintain strong client relationships, contributing to business development efforts.
- Oversee and review statistical analyses to ensure quality and integrity.
- Mentor, train, and motivate a growing team of biostatisticians.
- Manage projects effectively, adapting to changing priorities and meeting tight deadlines.
- Communicate statistical findings clearly to both technical and non-technical audiences.
Key Skills and Requirements:
- Advanced degree (PhD or MSc) in statistics, biostatistics, or a related field.
- Expertise in statistical methods for HEOR, HTA, and market access, including meta-analyses and ITCs.
- Proficiency in statistical software such as SAS, R, or R-Studio, with programming and data management experience.
- Proven track record of designing, performing, and overseeing statistical analyses.
- Experience in publishing results, including writing abstracts and manuscripts.
- Strong project management skills and the ability to adapt to shifting priorities.
- Excellent communication skills to convey complex statistical information effectively.
If you are having difficulty in applying or if you have any questions, please contact Tom Magenis at
If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.
Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.
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Principal Statistician/Statistics Team Lead
Posted 9 days ago
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Job Description
Abbott Diabetes Care designs, develops, and manufactures leading-edge blood glucose monitoring technology for use in both home and hospital settings, including our revolutionary Freestyle Libre Flash Glucose Monitoring System.
**The Opportunity:**
Abbott Diabetes Care is seeking a **Principal Statistician/Statistics Team Lead** to join our Clinical Statistics team. This is a fantastic opportunity for a skilled statistician with a passion for leadership and innovation to contribute to the development of cutting-edge glucose monitoring technologies.
In this role, you will collaborate with cross-functional teams across R&D, Engineering, Quality, and Regulatory to support data-driven decision-making that enhances patient outcomes. You'll be part of a dynamic and inclusive team of Statisticians and SAS Programmers, working on diverse projects and engaging with a global network of statistical professionals dedicated to continuous learning and excellence.
**Responsibilities:**
+ Lead and mentor a team of statisticians, fostering talent development and knowledge sharing.
+ Provide statistical expertise across the Abbott Diabetes Care product range.
+ Support the transfer of products and processes from R&D into Manufacturing for new product launches.
+ Analyze manufacturing, stability, and product performance data to drive continuous improvement.
+ Design and support development trials and analytical test methods, using statistical insights to inform quality and business decisions.
+ Collaborate with cross-functional teams to communicate statistical concepts and influence decision-making.
**Education and Experience:**
+ A BSc or higher degree in Statistics or Mathematics is required.
+ Experience in a regulated or manufacturing environment is highly desirable.
+ Proficiency in SAS and/or R programming is advantageous.
+ Strong project management skills with the ability to handle multiple projects simultaneously.
+ Excellent communication, collaboration, and interpersonal skills.
+ Detail-oriented, adaptable, and capable of explaining complex statistical ideas to non-specialists.
**What We Offer**
At Abbott, we believe in helping you bring your passion, ideas, and purpose to life. In return, we offer:
+ A competitive salary and benefits package.
+ A class-leading defined contribution pension scheme.
+ Share ownership opportunities.
+ A supportive and inclusive work environment that encourages career growth and development.
+ Access to a wide range of wellness initiatives and employee engagement activities:
+ At our Witney site: onsite allotments, couch-to-5k campaigns, beekeeping, yoga, and more.
+ At our Maidenhead site: onsite gym, virtual yoga, and other wellness programs.
Join us and shape your career as you help shape the future of healthcare.
Connect with us at or on LinkedIn at on Facebook at and on Twitter @AbbottNews.
Abbott is an equal opportunities employer.
#LI-SO2
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email
Data Science Lead
Posted today
Job Viewed
Job Description
Are you looking to join an award-winning and independent agency, who have an excellent culture? Then you could be the perfect fit for this agency in this flexible role!
JOB TITLE: Data Science Lead
SALARY: Up to 60k
LOCATION: London (2/3 days in the office)
THE COMPANY
We're excited to represent an award-winning agency that has consistently been recognised for both its outstanding work and vibrant company culture. This is a unique opportunity to collaborate with some of the UK's most renowned brands while being part of a team dedicated to providing top-tier strategic insights that help clients overcome their biggest challenges and make informed decisions.
With cutting-edge research techniques and innovative, in-house approaches, this agency delivers impactful solutions on fast-paced, high-profile projects across various sectors. Their adaptability and client-focused mindset allow them to meet a wide variety of needs.
If you're looking to make your mark at a forward-thinking agency, this is your chance.
.KEY DUTIES
- Lead advanced analytics on projects and advise clients on data science methods and infrastructure improvements.
- Expand data capabilities through AI, synthetic data, and strategic innovations to future-proof service offerings.
- Upskill team via training sessions, improving data literacy and best practices in analytics techniques
SKILLS & EXPERIENCE
- Extensive data science experience in research settings, using advanced analytics like max-diff, KDA, conjoint, regression and segmentation techniques.
- Proficient in tools such as Python, SQL, SPSS, R, Q; skilled with survey, behavioural, and first-party data for insights.
- Strong communicator with analytical mindset; independently manages multiple projects and embraces innovation and new technologies.
Interested in this Data Science Lead role? Apply now and let's have a chat!
.
We Are Aspire Ltd are a Disability Confident Commited employer
Staff Data Science
Posted 10 days ago
Job Viewed
Job Description
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Engineer
Posted 10 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
Data Science Lead
Posted today
Job Viewed
Job Description
Are you looking to join an award-winning and independent agency, who have an excellent culture? Then you could be the perfect fit for this agency in this flexible role!
JOB TITLE: Data Science Lead
SALARY: Up to 60k
LOCATION: London (2/3 days in the office)
THE COMPANY
We're excited to represent an award-winning agency that has consistently been recognised for both its outstanding work and vibrant company culture. This is a unique opportunity to collaborate with some of the UK's most renowned brands while being part of a team dedicated to providing top-tier strategic insights that help clients overcome their biggest challenges and make informed decisions.
With cutting-edge research techniques and innovative, in-house approaches, this agency delivers impactful solutions on fast-paced, high-profile projects across various sectors. Their adaptability and client-focused mindset allow them to meet a wide variety of needs.
If you're looking to make your mark at a forward-thinking agency, this is your chance.
.KEY DUTIES
- Lead advanced analytics on projects and advise clients on data science methods and infrastructure improvements.
- Expand data capabilities through AI, synthetic data, and strategic innovations to future-proof service offerings.
- Upskill team via training sessions, improving data literacy and best practices in analytics techniques
SKILLS & EXPERIENCE
- Extensive data science experience in research settings, using advanced analytics like max-diff, KDA, conjoint, regression and segmentation techniques.
- Proficient in tools such as Python, SQL, SPSS, R, Q; skilled with survey, behavioural, and first-party data for insights.
- Strong communicator with analytical mindset; independently manages multiple projects and embraces innovation and new technologies.
Interested in this Data Science Lead role? Apply now and let's have a chat!
.
We Are Aspire Ltd are a Disability Confident Commited employer
Data Science Engineer
Posted 10 days ago
Job Viewed
Job Description
We are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.
Key Responsibilities
Develop and implement AI-driven solutions for complex data science challenges.
Work with Large Language Models (LLMs) to create and optimize intelligent systems.
Collaborate with cross-functional teams to ensure solutions meet project requirements.
Contribute to projects in the pharma/life sciences domain (if applicable).
Requirements
Minimum 5 years of experience in AI solution development.
Hands-on experience with Large Language Models (LLMs).
Proven track record as a Data Science Developer/Engineer.
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Staff Data Science
Posted 10 days ago
Job Viewed
Job Description
Salary: 110,000 - 130,000
Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.
The Role
You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.
This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.
What You'll Do
- Build and deploy advanced geospatial and telematics models from the ground up
- Design data products that optimise movement patterns and reduce inefficiencies
- Lead technical direction as the most senior IC
- Work with product and engineering partners to deliver production-ready solutions
- Ensure models deliver measurable impact across efficiency and experience
What We're Looking For
- Proven expertise in geospatial, telematics, or spatial data science
- Strong experience building and deploying end-to-end data products in production
- Excellent skills in modelling movement, sensor, and GPS datasets
- Track record of operating at a senior IC level, setting technical standards
- Experience in high-growth or data-first environments is desirable
Package & Benefits
- Up to 130K
- Equity and performance-based equity bonuses
- Private healthcare
- Pension contribution
If you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.
Staff Data Scientist
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Data Science Manager
Up to £120,000
London (Remote/Hybrid)
Company:
Join a global marketplace redefining how pre-owned goods are collected, reused, and redistributed. Founded in the UK, they’ve built a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners.
Responsibilities:
- Lead and deliver scalable statistical models and analyses that drive business decisions
- Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy optimization
- Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem.
- Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact.
- Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work with broader strategic goals under a “One Team” approach.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
**Please note that this role does not offer visa sponsorship**
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page
Data Science Manager
Posted 1 day ago
Job Viewed
Job Description
Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.
This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.
What You’ll Do
- Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
- Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
- Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
- Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
- Manage multiple projects from inception to deployment within cloud-based environments.
- Maintain high standards in code review, documentation, and delivery in a DevOps context.
- Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.
What We’re Looking For
Essential Skills and Experience:
- Proven ability to solve complex, real-world problems through data science and analytics.
- Experience coaching and reviewing work of junior team members.
- Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
- Deep knowledge of machine learning methods and their practical application.
- Experience managing multiple end-to-end data science projects across varied data types.
- Familiarity with DevOps practices and tools like Git.
- Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
- Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
- Ability to align data science efforts with broader business objectives.
Desirable Skills:
- Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
- Familiarity with Generative AI and prompt engineering.
- Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
- Exposure to Agile development environments and software engineering best practices.
- Experience working in large or complex organisations or regulated industries.
- Strong working knowledge of Excel, SQL, Power BI, and Tableau.
Why Join?
- Work in a fast-growth, innovation-driven environment.
- Be part of a diverse and inclusive team where your contributions are valued.
- Tackle meaningful challenges with real-world impact.
- Access continuous professional development and technical learning opportunities.