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SVP, Machine Learning Scientist

Company: UnitedHealth Group
Location: Minnetonka
Posted on: May 8, 2022

Job Description:

OverviewUnitedHealth Group is a company that's on the rise. We're expanding in multiple directions, across borders and, most of all, in the way we think. Here, innovation isn't about another gadget, it's about transforming the health care industry to improve the lives and health of others. Ready to make a difference? Make yourself at home with us and start doing your life's best work.OptumLabs serves as UnitedHealth Group's research and development hub. Our vision is to create the most effective, affordable, equitable, and engaging health care solutions that improve patient health outcomes and experience, enhance provider experience, bolster health equity, and make health care more affordable. Our teams leverage big data insights, artificial intelligence, machine learning, and disruptive product development while capitalizing on engineering, clinical, and scientific innovations to build innovative health solutions. Our team, the Machine Learning research team in Optum Labs, is a research team that aspire to develop and apply novel machine learning methodologies that are specifically tailored to healthcare. We aim to develop disruptive technologies that will change healthcare for the better. You'll enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.Job Description

Lead, inspire and set the vision for the OptumLabs and UHG machine learning roadmap. Lead a team of experienced machine learning scientists in healthcare domains. Coordinate between the machine learning team and clinical, business, and product teams in the organization (Optum Labs and UHG).Lead multiple research focus areas in machine learning.Lead a research agenda on machine learning in healthcare.Bring machine learning scientific projects from ideation to prototype code that leads to journal publications, to intellectual property, and to adaption across UHG. Participate in strategic development of machine learning research across UHG. Develop novel machine learning algorithms for prediction of health outcomes and improved care. Develop machine learning across different data domains (e.g., images, unstructured data, genomics, wearables, and claims), and across different machine learning domains.Communicate the performance of the machine learning algorithms across an interdisciplinary teamWrite both internal and external documentation of the novel algorithms, including publications in machine learning and other scientific conferences and journals.You will evaluate and make decisions around the use of new or existing machine learning algorithms and tools, influence other Principals, Directors, and their technical teams to build the right systems and use the right machine learning tools.You will present the results of the team's research in scientific meetings and conferences in the field of machine learning in health.Required Qualifications:
A PhD in machine learning, computer science, statistics, biomedical informatics, or a related field.At least 10 years of experience in machine learning research post-PhD.Experience in leading machine learning research or a related field in an academic setting in a leading institute (e.g., a faculty member) or in a research lab (e.g., IBM research, Microsoft research, etc.). Excellent track record of scientific publications with a computational focus. Evidence of being able to bring a team to develop novel machine learning methodologies that make a substantial impact. A deep understanding of machine learning algorithms and statistical analysis, including for example non-parametric tests, mixed linear models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, or neural networks. Strong communication skills, including in an interdisciplinary environment.Strong written communication skills of scientific material. Deep understanding of mathematical foundations of machine learning, including statistics, linear algebra, and computer science.Programming competence demonstrated in at least one or more of these programming languages: Python, R, Java, C++, Matlab. Excellent problem-solving skills.Highly organized individual.Demonstrated ability to work in a team. Knowledge and experience working with health related data, including EMR, medical images, genomics, or claims. -Preferred Qualifications:
Software tool development experience: source control (git), packaging, documentation.Hands-on experience on machine learning algorithms. Experience working in an interdisciplinary environment. Experience with cloud computing.Experience communicating with and briefing senior executives.Comfortable working in a fast paced, highly collaborative and fluid work environment.Demonstrated experience working cross-group with Director and VP-level technical leaders.Highly skilled and experienced at creating internal alignment across roles (Engineering, Product, Marketing, Finance, etc.) for strategic projects.Demonstrated ability to communicate effectively with both technical and non-technical audiences at the C-level.Exceptional interpersonal and relationship management skills.Strong problem-solving skills: the ability to analyze problems and develop actionable and appropriate tactical plans quickly. -Our ValuesWe Lead with Diversity, Inclusion and Compassion At OptumLabs, we are dedicated to building teams where every individual is recognized for their unique experience and contributions. Our Leadership Principles underscore our commitment to inclusion, encouraging us to "walk in each other's shoes" and open doors for our peers. -UnitedHealth Group s

Keywords: UnitedHealth Group, Minnetonka , SVP, Machine Learning Scientist, Other , Minnetonka, Minnesota

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