We are looking for an enthusiastic and highly motivated senior data scientist to join our growing data science team at CMR. Day to day our data scientists are helping us achieve our mission, to transform surgery for good. Life as a CMR data scientist is both challenging and rewarding. To succeed we recruit the very best data scientists to help us solve difficult problems in surgery by applying and advancing cutting-edge techniques. As a senior member of the team you’ll be re-sponsible for providing strong technical and scientific leadership, including curating a supportive and scientific environ-ment within which the wider team thrive.
Why join us?
CMR is one of the UK’s most exciting companies to be joining right now. The scale of our ambition to build a world-class medical devices company in Cambridge is matched only by the breathtaking innovation that underpins our next generation of surgical robot. We’re an award-winning company that plans to significantly disrupt the way surgery is performed for the benefit of millions of patients all around the world.
Our values are ambitious, humble, people focused and fair and responsible. If you share these values, our passion for improving lives, and have the skills to make a real difference to the way minimal access surgery is developed and delivered, then it’s a great time to join us.
In this role, you’ll be responsible for:
- Providing technical and strategic leadership for data science projects.
- Working with a wider team of data scientists, to provide technical oversight, mentoring and support.
- Building creative and world-class solutions that utilise statistical and machine learning models to solve major challenges in surgical and robotic data science. Your focus will primarily be on technologies that will be incorporated into the Versius surgical robotic system and its ecosystem of software and tools.
- Working with stakeholders from across to identify project requirements and evaluate candidate solutions.
- Managing projects from concept to evaluation, delivering projects to a very high standard of completion, on time and in budget.
- Collaborating on large projects with a team of data scientists, machine learning scientists and data engineers.
- Bringing scientific and statistical rigour to all elements of your work.
- Remaining up to date with the latest techniques in statistics and data science.
- Communicating and presenting complex topics to others, including through academic publications and conferences.
- Upholding CMRs core values: ambitious, humble, people focused and fair and responsible
As the ideal candidate you’ll be passionate about data science and have a deep technical understanding of modern data science and machine learning techniques. You’ll be rigorous and methodological, a great communicator, a team player and a supportive leader, and continue to learn new skills and techniques to advance your career.
- A masters level degree in computer science, mathematics, statistics, data science, engineering, physics (or other relevant discipline) with significant industry experience in a data engineering or related role and can provide evidence of strong technical leadership.
- Strong analytical skills and the ability to solve complex problems.
- A strong track record in applying modern techniques to data science problems, including SVMs, deep learning, Bayesian methods, random forests, and clustering techniques.
- A thorough understanding of modern deep learning network designs.
- Proficiency in at least one of Python, R, Matlab or Scala.
- Familiarity with Linux and common software tools, e.g. Git, Jupyter, and Docker.
- Experience working on modern cloud environments to conduct data science (preferably AWS).
- Experienced using modern database technologies including SQL, non-relational databases, and data warehousing/data lake solutions, with practical experience of standard ETL and pipeline tools/techniques.
- Practical experience of common libraries and frameworks, e.g. Numpy, Scipy, Pandas, Matplotlib, Tensorflow, Keras and PyTorch.
- Experience of project management and agile methodologies, e.g. SCRUM.
- The ability to work individually or in a team, to self-organise, prioritise, and work with minimal supervision.
- The willingness to take ownership, make decisions, fail fast and learn from mistakes.
- Good written and oral communication skills.
- Experience of working with data in a regulated industry, e.g. healthcare, finance.
- A deep and practical understanding of security, privacy and ethical issues as applied to healthcare datasets.
- A PhD in computer science, mathematics, statistics, data science, engineering, physics or other relevant discipline with further post-doc or industrial experience in a data science or related role.
- Some experience or knowledge of medical device regulations, e.g. MEDDEV, 510(k).
We offer a competitive salary and a great benefits package (including non-contributory pension scheme, cycle-to-work scheme, life assurance, and our legendary monthly BBQs). On top of that, you’ll be joining a company with a fabulous culture of ambition, creativity and teamwork, and where fun is just as valued as our commitment to make surgery better for millions of people.