Senior Data Scientist

at  Perspectum

Are you an experienced research scientist with a track record of solving complex problems using data-driven approaches?
Do you have a deep understanding of MRI, machine learning, medical research, statistics, and computer vision techniques?

YOUR KNOWLEDGE AND EXPERIENCE WILL INCLUDE:

• Solid grounding in mathematics/sciences
• Evidence of an interest in the application of research to biomedical problems
• Experience in artificial intelligence / machine learning / data science
• Prototype coding (e.g. Python, MATLAB)
• Experience of medical image analysis
• Automation of data processing pipelines on remote systems

DESIRABLE EXPERIENCE INCLUDES:

• Structural neuroimaging processing pipelines
• Contract Research Organisation (CRO) experience
• DICOM, NIfTI, AWS, Python, PyTorch
• Modern computer vision methods, including U-Net and transformer models
• Magnetic resonance physics, pulse sequence development and optimisation
• Working with UK Biobank data
• Clinical trials involving drug development
• Good Clinical Practice (GCP)

ABOUT US

At Perspectum, we offer our employees a flexible, fast-paced, and fun environment. We are driven by hiring the best talent, who share our values of excellence, accountability, integrity, openness, and passion.

We value our employees and are constantly striving to ensure we provide a working environment that offers something for everyone, whether that be flexible working, training opportunities or health and wellbeing initiatives. Benefits include:

• 33 days annual leave (inclusive of Bank Holidays), increasing with service.
• Discretionary bonus scheme.
• Private healthcare including medical referrals, discounts, access to counselling and nutritional support, and cashback on healthcare bills.
• Life assurance.
• Pension contribution rising to 6% after 2 years’ service.
• Hybrid working – we like our employees to be in the office 3 days per week.
• Our sociable working environment includes pool table, tennis table and table football.
• Office Facilities include free on-site parking, refreshments, onsite showers and changing facilities, bike locks and Electric Vehicle charging points.

Perspectum delivers cutting-edge digital technologies that help clinicians provide better care for patients with liver disease, diabetes, and cancer. With a strong focus on precision medicine using advanced imaging and genetics, our vision is to empower patients and clinicians through quantitative assessments of health enabling early detection, diagnosis, and targeted treatment

As a Senior Data Scientist, you will lead bespoke development of cutting-edge techniques for deployment in commercial clinical trials. You will develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of imaging and other data across the company. You will maintain deep learning models behind much of Perspectum’s automated image analysis capabilities while also working closely with other research teams to run Perspectum’s core algorithms at scale. Your work will especially support Perspectum’s Pharma Solutions business and will involve interacting with Physics, Engineering, Image Analysis, Quality Assurance, Data Management, and Business Development teams.

Your Duties will include:

• Taking ownership of technical development of new systems and workflows
• Implementation and extension of techniques from academic literature
• Rapid prototyping of novel MR protocol / analysis combinations
• Deployment and monitoring of new workloads on the cloud (i.e. AWS)
• Management of small multidisciplinary teams incorporating experts in deep learning, magnetic resonance physics, and human anatomy
• Read and understand technical reports and algorithm specifications
• Write technical reports and algorithm specifications
• Contribute to scientific manuscripts, patents, and grant applications
• Keep up to date with advances in machine learning, through the literature, team discussion meetings, and conference attendance
• Make presentations showcasing the work of the team
• Collaborate with internal research teams and on external research collaborations