Tilbakemelding til Vevkom

Du er ikke logget inn så meldingen vil bli sent anonymt. Om du vil at vi skal kunne kontakte deg, vennligst logg inn.

Medical Data Scientist

Søknadsfrist: 5. juni 2022 23:59

Join the Pacertool team to develop a breakthrough medical device which can help thousands of heart failure patients per year.

 

Description 

Pacertool is looking for an ambitious data scientist to extend the team and help us speed up the development of our products. The position offers opportunities to work with multiple topics and challenges including tasks ranging from computer vision, signal processing, and data visualization to testing and verification. 

 

About 

Pacertool is solving a 20-year-old problem for heart failure patients: the ability to improve the outcome of biventricular pacemaker implantations (CRT). Pacertool aims to be first to market in the US and Europe with a proprietary medical device to address this unmet medical need.  

Currently, 30-50% of the heart failure patients needing resynchronization have no effect of a CRT implantation and around 10% of the patients are feeling worse after the implant. This affects around 40,000 patients per year and constitutes an estimated annual burden of more than USD 1B to the healthcare systems in the US and Europe. Promoting value-based healthcare, Pacertool has the potential to reduce these costs and at the same time increase the market and effectiveness of the biventricular pacemakers being implanted. 

Pacertool will over the next years complete Pacertool system and enter clinical and regulatory processes to validate the technology. The company targets the US market with a staged regulatory strategy establishing early clinical data and reimbursement for the technology. 

The company was founded by Dr. Hans Henrik Odland in 2019 and has completed the first clinical proof-of-principle clinical trial in 45 heart failure patients. Pacertool has established a dedicated team of medical device professionals in Oslo, Norway. The team has a deep understanding of R&D processes for SW, hardware and advanced intracardiac electrophysiology catheters.  

We are dedicated to making a difference for our patients and the healthcare systems around the world. 

 

Our Investors 

Pacertool has recently closed a NOK 25M seed financing round supported by a prominent Norwegian investor consortium: TD Veen/p53, Sarsia Seed and the Rasmussen Group. The company has also received public funding through the Norwegian Research Council, Innovation Norway and the European Union.  

Our investors have a long-term perspective of building a successful medical device company and has a track record of supporting other successful Norwegian biotech and medical device companies such as Nykode (Vaccibody) and BerGenBio. In the words of TD Veen/p53: “We seek to contribute to the development and commercialization of groundbreaking ideas that will increase accessibility to cutting-edge treatments and innovative solutions with positive effect on quality of life and well-being”. 

 

Responsibilities 

  • Gathering requirements, the necessary data, their analysis, estimating, planning, implementation, testing, delivering, and following the data analysis and detection/prediction tools 
  • Developing ideas into prototypes and eventually into production 
  • Building infrastructure for data storage, cleaning, mining, processing, and visualization 
  • Performing research on state-of-the-art methodologies for data analysis and detection/prediction systems and implementation of these  
  • Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code 
  • Helping to uncover the full potential of new and existing data sources 
  • Communicating ideas, results and findings to clients, partners, internally and externally 
  • Utilizing standard software development methodologies, processes, techniques and quality planning methods in all phases of work 
  • Working with RA/QA Manager to ensure compliance with the appropriate regulations and standards, including IEC 62304 
  • Updating job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations 

 

Qualifications 

  • Master's Degree in Computer Science/Medical Engineering/Statistics or similar 
  • Experience in software development and algorithm implementation 
  • Experience in developing solutions for data pipelines - management, mining, analysis and visualization 
  • Expert knowledge of machine learning algorithms and statistical methods 
  • Great knowledge of Python 
  • Knowledge of medical data processing and its limitations 
  • Teamwork skills 
  • Our business language is English – excellent communication skills are required, both verbal and written 

 

What we offer 

  • Compensation on-par with the industry and contains a mix of salary and stock options 
  • Office space at Aleap, Norway's largest community for health startups 
  • Flexible working time and location (remote or on premise) 
  • Opportunity to learn transferrable skills and room to grow with the company 
  • Yearly training in relevant technologies and tasks 
  • Optional travelling to relevant conferences 

 

Trykk her for å søke.