Degree in Artificial intelligence- AI
Degree in Biomedical Engineering
Aartificial intelligence, Biomedical Imaging, C++, Effective communication skills, Java Programming, Natural Language Processing (NLP), Python Programming, Writing
Pangaea Data provides a novel AI driven product, which has clinically proven to characterize patients in a federated privacy preserving and scalable manner. For example, Pangaea helped characterize cachexia in cancer patients, which led to the discovery of 6x more undiagnosed, miscoded and at risk cachectic cancer patients with 95% accuracy with the potential to save £1billion annually and improving outcomes. Additionally, US based healthcare systems have applied Pangaea to measure health inequity across the US through characterization of patients and their journeys based on tumour genomic testing results, demographics and social indicators from patient records. Clinicians at pharmaceutical companies are applying Pangaea to discover new clinically actionable insights which have helped them find new drug targets, define new end points for clinical trials, understand relationships between drugs and adverse events, find more patients for clinical trials and during the launch of new therapies. The founders (Dr. Vibhor Gupta and Prof. Yike Guo) are based between South San Francisco and London and have attracted $200 million through their research.
Role Description And Responsibilities
As a Biomedical Analyst, you will closely collaborate with colleagues on the clinical and technical teams, supporting product configuration based on scientific and clinical understanding of the objectives and validating outputs. Additionally you will have an external facing aspect of the role focused on researching and producing customer deliverables. Technical knowledge of machine learning methods and predictive modeling is not mandatory but it’s critical that you have interest in understanding the approach adopted to apply these methods, which is directly dependent on the clinical and scientific objectives.
Key Responsibilities:
Mandatory Requirements
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Additional Information
If you are eager to apply the skills and knowledge that you have developed in academia/industry outside of the lab and research environment and develop your commercial and business management skills, this is the position for you. Please note that this is not a biomedical research role, nor does it include any laboratory work.
This position will be highly visible to senior management within our company and at our customer organizations.
Your application should be in English and include a cover letter no longer than a single side of A4, highlighting your relevant experiences, motivations for applying and fit for the role along with your CV.Please send your latest resume along with a cover letter to careers@pangaeadata.ai.
This is a full time role however part-time can be discussed depending on the candidates availability
Perks And Benefits
General Information
Pangaea Data’s headquarters is in London (UK) with teams in San Francisco (US) and Hong Kong. For more information, please visit www.pangaeadata.ai.
Pangaea Data is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
Pangaea Data, headquartered in London with additional offices in San Francisco and Hong Kong, is the driving force behind PIES, an AI-powered software product. PIES has demonstrated its remarkable ability to identify six times more suitable patients, including those who are undiagnosed and miscoded. Furthermore, it has enhanced screening success rates by an impressive 400%, while also streamlining the process by saving 90% in time. This efficienc