About eviCores inQbatorThe Boston-based inQbator is a hub of healthcare innovation that solves problems at the nexus of patients, clinicians, and insurance providers.
Originally founded as a healthcare startup spun-out of Partners HealthCare in 2012 and acquired by eviCore Healthcare in 2016, we have years of experience building solutions that streamline patient care, reduce the administrative burden on clinicians, and prevent wasteful spending in medicine.
We're committed to making a difference in healthcare, and are looking for talented machine learning engineers from all backgrounds to help us!What youll be working onThe inQbator AI team has a mature ecosystem of solutions currently deployed to production that use state of the art natural language processing and machine learning techniques to bring tangible improvements to healthcare processes.
Our near-term focus is on building solutions to address problems within the domain of prior-authorization, and our long-term... problem space is incredibly broad and open-ended.
As such, to identify the next generation of problems that we will tackle, we interact regularly with a diverse group of stakeholders that includes representatives from Cigna (eviCores parent company), Evernorth (the independent health services business unit within Cigna), clinicians and hospital networks (with whom we have partnerships), and ultimately the patients we seek to help.As a member of the AI team, you will:+ Work closely and interactively with our product team to help build NLP & ML models foundational to delivery of cloud-based analytics and solutions to eviCore, Cigna, EverNorth and the market at large.+ Research use cases and build proof-of-concept solutions for problems that impact patients, clinicians, providers and insurers.+ Access a comprehensive catalog of clinical and non-clinical data through our broader enterprise and collaborate with healthcare software thought leaders.+ Keep current with industry advances in NLP and ML technologies;+ Mentor and collaborate with other members of the AI & NLP team.+ Solve problems that will have a positive impact on the health and well-being of many peopleMinimum Education, Licensure And Professional Certification Requirement+ Bachelors Degree in Computer Science, Engineering, Information Systems or Math+ Masters Degree in Computer Science or related field, preferredMinimum Experience Required+ 5-10 years experience designing NLP software solutions, including:+ Designing, developing and maintaining NLP models and services for Named Entity Extraction, Language Detection, Semantic Mapping, Sentiment Prediction, and Detection and Extraction of Clinical Terminology and Measures.+ Developing, delivering and maintaining NLP models within data pipelines, distributed systems and large-scale data processing.+ Experience with ML techniques, performance analysis and statistics, including: deep learning, reinforcement learning, neural networks (CNNs, RCNNs, LSTMs), linear regression, logistic regression, Markov models, conditional random fields, data discretization, sampling, and decision trees.+ 5-10 years experience with high level programming languages, such as Python, Java, C, C++ and/or Scala.+ 5-10 years software management experience.+ Advanced expertise in NLP computing frameworks such as TensorFlow, PyTorch, Keras, Spark.+ Experience with distributed systems and cloud computing, such as Hadoop, RDBMS, NoSQL, and MSFT Azure.This position is not eligible to be performed in Colorado.About CignaCigna Corporation exists to improve lives.
We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve.
Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions.
Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation.
When you work with us, or one of our subsidiaries, youll enjoy meaningful career experiences that enrich peoples lives.
What difference will you make?_Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.__If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support.
Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response
See something wrong with this listing?
Contact support