Senior Manager Data Science (inQbator Hub)

Summary

Boston-based inQbator is a hub of healthcare innovation that solves problems at the nexus of patients, clinicians, and insurance providers. The 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. In this role you will collaborate with business leadership and technology partners to define and execute on a shared vision. You authentically engage with your team and matrix partners to ensure ongoing alignment and delivery success. You are dedicated to technical excellence for yourself, your team, and the software you deliver. You will have the opportunity to develop cutting edge health care software at scale. Our focus is on automating, simplifying, and improving provider and patient experiences.

The role leads a team of data scientists and machine learning engineers to develop, deploy and manage cutting-edge machine learning models and algorithms directly creating value across the healthcare value chain, starting with health plan medical management operations. Responsible for design, testing, implementation, maintenance of models natural language processing (NLP), artificial intelligence (AI), and other advanced data science techniques. A methodological expert and technical resource supporting the data scientists, the Sr Manager will mature the data science organization operating model, efficacy and efficiency. They will work closely with the VP of Data Science to develop a roadmap supporting the product needs.

Advanced level professional providing professional input to complex assignments/projects and providing direction to more junior professionals within the Machine Learning job family.; Supports the design and implementation of creative software solutions for a broad range of problems using data science and machine learning. Exercises judgment in the evaluation, selection, and adaptation of both standard and complex techniques and procedures; uses in-depth professional knowledge and acumen to develop models and procedures, and monitor trends, within Machine Learning. Tasks involve forward planning and anticipation of needs/issues.

Our near-term focus is 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 (Evernorth’s 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.

Responsibilities

• Lead a team of data scientists to develop and deploy machine learning models and algorithms that solve complex healthcare insurance problems
• Manage and prioritize data analytics projects, ensuring that they are completed on time and within budget
• Owns end-to-end data flow for Manage data engineering and work with software engineers to develop and maintain robust ETL, mature and high quality data environments, data resources and
• Collaborate with cross-functional teams to identify and solve business problems using data-driven insights
• Design and implement large-scale data analytics projects, leveraging NLP, AI, and other advanced data science techniques
• Continuously explore and evaluate new data science technologies and techniques to drive innovation in the field
• Develop and maintain strong relationships with key stakeholders to ensure that data analytics initiatives are aligned with business objectives
• Define and track key performance indicators (KPIs) for data analytics projects to ensure that they are delivering measurable business value
• Ensure compliance with data security, privacy and model equity governance standards
• Mentor and coach team members to ensure that they are continuously developing their data science skills and expertise

Qualifications

• 8+ years’ of experience in data science or a related field, with 3+ years’ in a management role
• Proven experience designing and implementing large-scale data analytics projects using NLP, AI, and other advanced data science techniques
• Strong programming skills in Python, R, or similar languages
• Expertise in machine learning algorithms and libraries, such as scikit-learn, TensorFlow, or PyTorch
• A high level of proficiency with Java, Python or an equivalent modern OO Programming Language.
• Experience with high level programming languages, such as Python, Java, C, C++ and/or Scala.
• Experience with distributed systems and cloud computing, such as Hadoop, RDBMS, NoSQL, and MSFT Azure.
• Experience with any Javascript framework like React, Angular or Ember
• Strong mathematical and statistical skills
• Knowledge of healthcare insurance industry and healthcare data is a plus
• Software, SAAS and healthcare information technology business experience.
• Expert knowledge of a variety of machine learning algorithms and tools
• Excellent communication skills and ability to collaborate effectively with cross-functional teams
• Strong leadership skills and ability to mentor and coach team members
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or equivalent experience required

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 132,800 – 221,400 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

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: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.