Senior Machine Learning Engineer

Tech Cambridge, Massachusetts United States


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.

 

ConcertAI has emerged as one of the fastest growing AI health tech companies backed by industry-leading private equity companies: SymphonyAI Group, Declaration Partners, Maverick Ventures, and AllianceBernstein PCI.

 

Role Summary

The Machine Learning Engineer is an important member of our Data Science Team. In this role you will build and deploy machine learning models focused on ConcertAI's data sources including EHRs, Claims and Molecular test data. Additionally, you will drive the development of an SDK as foundational layer for development and deployment of machine learning models.

 

Responsibilities

  • Design, develop and implement ML models and software at scale to support ConcertAI applications.
  • Uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  • Design and develop production-ready APIs and algorithms at scale.
  • Build new features for internal and external users and refactor existing ones to make them higher performing.
  • Drive optimization, testing and tooling to improve quality of solutions.
  • Collaborate with product, data science, and business development teams to build a data and AI platform.

 

Preferred Requirements

  • PhD in a STEM field, with formal training in CS, stats, bioengineering, data science, engineering, physics or math; at least 3 years experience post-doc in machine learning
  • Minimum 4 years experience in machine learning, deep learning using Tensorflow, PyTorch, Keras.
  • 2+ years of experience developing healthcare data analytics products using the following programming languages: Python, SQL.
  • 5+ years of experience with database and SQL (AWS Redshift (Preferred), Postgres and GraphDB).
  • Experience building ML models and data pipelines at scale (Pyspark preferred).
  • Strong experience consuming, integrating, building and deploying third party library/Web API’s into core product services.
  • Proficiency with microservices development, containerization, orchestration and deployment in a Linux environment is an added advantage.
  • Expert level knowledge of distributed computing, optimization techniques and multiprocessing design principals using Python.
  • Exceptional attention to detail along with strong communication skills.

 

 

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.