Principal Data Scientist
BresMed, United Kingdom
Job Description
About BresMed
BresMed is a health economic and outcomes research (HEOR) consultancy that works with pharmaceutical companies and medical device manufacturers, helping them demonstrate the clinical and economic value of their products to governments and other healthcare payers and providers. Core services include developing health economic models, which use cutting-edge economic and statistical methodology, and developing market access materials, including reimbursement and value dossiers.
With a head office in Sheffield, United Kingdom, we employ over 180 people in the UK, India, Ireland, the Netherlands and the US. The environment is stimulating and focused on delivering excellence within a vibrant culture where everybody matters. Many of our team join us as graduates, and we believe in developing our employees and offering them responsibility from an early stage in their careers, enabling accelerated progression in a supportive environment.
Everything we do is grounded in three company principles: Thriving Business, Delighted Clients, Fulfilled Staff.
Arsenal Capital Partners acquisition
Arsenal Capital Partners, a specialist New York private equity firm with a track record of successful investments in healthcare, acquired BresMed in January 2020. Arsenal are providing capital and business advice to accelerate the next chapter of BresMed growth. As industry expands its use of modelling, simulation and real-world analytics, the opportunity to support more efficient drug development and commercialization is significant.
The acquisition of BresMed is the first in a series of investments to form a new value demonstration company in the market access, health economics and outcomes research, patient preference, and real-world evidence space that will transform the way medical advances reach the patients who need them. The new company will support biopharmaceutical clients with the strategy, evidence and communication tools to help maximize the value of their products, guiding healthcare stakeholders worldwide in difficult decisions about resource allocation and access to new therapies.
The opportunity
There is a growing trend in HTA/HEOR for the use of increasingly complex and data hungry analyses which demand efficient solutions. BresMed is aiming the to meet this demand through the development of technology enabled products and services. This opportunity is to join a newly formed team, Advanced Analytics, which sits within the Modelling and Analytics practice area, alongside the Health Economic and Statistics Teams. We are seeking an experienced data scientist with the enthusiasm, vision and flexibility in approach required to play an influential role in shaping the growth and development of both the role itself and the team. The right candidate will enjoy developing tools and infrastructure to support the application of innovative methods of modelling and data analysis in the field of health technology assessment and reimbursement. They will have a strong desire to support and coach less experienced staff in best practices of reproducible data science.
Key Responsibilities:
Key responsibilities will include, but not be limited to:
- Learning and applying new methodologies and techniques in the evolving field of health technology assessment and reimbursement.
- Implementation of emerging methods in statistics and health economics to support the development of new or enhanced products and technology enabled consultancy services.
- Contributing to the evaluation of technology, infrastructure and software requirements for new or enhanced offerings and products within BresMed.
- Supporting the use of reproducible data science best practices such as version control, testing, iterative development and code simplicity across the business. Coaching less experienced staff in such practices will also be a key part of the role.
- Close collaboration, particularly with the Statistics and Health Economics teams within the modelling and analytics practice area and also cross-functionally with the Evidence Evaluation and Value Demonstration practices, is an essential part of the role. Furthermore, this role is client-facing, and you will be required to contribute directly to business development via input into proposals to clients within your area of expertise.
The role can be tailored to an individual candidate’s strengths and aspirations, but will include a mix of roles and responsibilities, including strategic input and oversight of technical content on both client and internal research and development projects, collaboration internally and externally with experts in specific fields, programming, technical writing, quality control, mentoring, training, and for the suitable candidate, there will be line management opportunities.