Principal of Consulting, Data Science

Patient Solutions Plymouth Meeting, Pennsylvania


Description

Position at ConcertAI

Company Overview

ConcertAI’s mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. ConcertAI’s leading real-world evidence, AI technology and software-as-a-service solutions support healthcare decision-making across clinical research & development through commercialization. Top biopharma sponsors, clinical research organizations, healthcare providers and institutions rely on ConcertAI’s evidence-generation and digital transformation capabilities to advance precision medicine and medical innovation.

 

Role Summary

This role is an important member of our Patient Solutions team. The Principal of Consulting, Data Science work leverage ConcertAI data and other patient-level data sets, including EMR, claims, labs, and other data, as well as ConcertAI platforms and accelerators, to design, develop and execute high-impact analytics solutions and analysis for our pharmaceutical clients, with a focus on commercial side, enabling our clients to get the right treatment to the right patient at the right time.

 

Responsibilities

  • Participate in the development and presentation of proposals for business development activities. Assists in the development of scopes of work including project budgets and timelines
  • Execute projects using statistical and data mining techniques on large data sets to identify trends, outcomes and other relevant information, and oversee the quality of deliverables.
  • Develops analytic solutions using ConcertAI tools and platform to build custom analytics deliverables to client as needed.
  • Collaborate with clients to effectively communicate analysis findings, through delivery of presentations, and interactions with clients.
  • Lead development of consulting accelerators that create scale
  • Contribute to thought leadership through publication, conference presentations, and research

 

Requirements

  • Bachelor’s degree in AI/Machine Learning, data science, statistics, mathematics, or in a related discipline
  • 5 years’ experience either in commercial life sciences (e.g. market access, commercial analytics), or prior experience in management consulting for life sciences
  • Experience analyzing pharmaceutical and medical claims data (e.g. IQVIA, Symphony, or other syndicated data providers). Experience with EMR data highly desirable.
  • Strong programming skills in Python, R, SQL, SPSS to manipulate and analyze data. Experience with data visualization tools (e.g. Qlik, PowerBI, Tableau) highly desirable
  • Excellent communication skills and ability to ‘translate’ between the data and the business, via layman’s terminology of complex analytical methods
  • A strong interest in analyzing and interpreting structured and unstructured data, drawing conclusions, and building strategic insights for the client based on quantitative and qualitative research.
  • Oncology experience is a plus.

 

 

Learn More About ConcertAI

Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes. We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at www.concertai.com , or follow us on LinkedIn. 

 

EEO

ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.