Details:

About Concerto HealthAI

ConcertAI is a leading provider of precision health clinical and commercial real-world data and AI solutions to
the global pharma community and across the broader healthcare landscape. Our mission is to accelerate drug
development, clinical trials, and HEOR analytics in order to dramatically improve patient outcomes.
ConcertAI is part of a select set of companies backed by SymphonyAI Group (SAI) the largest AI-focused
an investment firm in the world, which was founded and is led by Dr. Romesh Wadhwani, a highly successful
serial tech entrepreneur, investor, and philanthropist.

About ConcertAI’s eurekaHealth Platform
ConcertAI has developed eurekaHealth platform that supports use-cases aligned with Real-World Clinical Data
and AI technologies to deliver high-performance real-world evidence (RWE). The primary purpose of this
solution is to accelerate drug development and market access for Oncology Patient Care in the Life Sciences
industry. This platform is used by researchers and analysts across the Life Sciences enterprise to readily
generate evidence, optimize patient selection for clinical trials using advanced analytics capabilities from AI
enriched clinical and genomic data that is accessible via this platform.
eurekaHealth is a cloud-deployed Software as a Service technology platform with a flexible microservices
architecture, advanced data visualization capabilities that optimize performance for rapid operations
provides the ability to compare patient cohorts, perform statistical analysis, provide reporting capability that
integrates into existing workflows using first and third-party data and systems.
eurekaHealth supports the development and deployment of AI models that derive or predict key treatment
outcomes and clinical characteristics of the disease for a patient from structured and unstructured data.
ConcertAI closed a series B funding of $150 million in January 2020.
(https://www.concertohealthai.com/press-and-media/concerto-healthai-raises-150-million-in-series-bfunding)

Min. Qualification:

• Strong clinical knowledge in oncology and familiarity with electronic medical records and taxonomies
  is highly desired.
• Experience in real-world data and/or clinical trial analytics & predictive modeling is highly desired.
• Good working knowledge of SQL & hands-on experience with R and/or Python is required.
• Familiarity with biostatistics and machine learning techniques is highly desired.
• Familiarity with cloud systems (AWS) is desired.
• Strong track record of execution against tight deadlines.
• Masters or Ph.D. in biostatistics, statistics, computational biology, epidemiology, or related fields.
• Strong communication skills and a team player.
• Ability to thrive in a start-up environment

Skills Required:

Python, Predictive modelling, Data modelling, Statistics

Roles:

• The Clinical Data Scientist will work on analyzing large Real-World Data (EMR, genomics, and other
  clinical data) in Oncology. The problems will range from complex descriptive analytics and
  interpretation to predictive analytics for outcome prediction.
• Will work closely with expert machine learning scientists to jointly develop cutting edge solutions that
  will be used in production.
• Responsible for clinical validation of results of the AI & statistical models.
• Work closely with Product Management translating customer & product requirements to technical
  requirements.
• Communicate results to Senior Management and Customers.