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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