Data Science Project Manager
Company: University of Minnesota
Location: Minneapolis
Posted on: April 24, 2024
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Job Description:
Job ID359491 LocationTwin Cities Job FamilyInformation
Technology Full/Part TimeFull-Time Regular/TemporaryRegular Job
Code9703PM Employee ClassAcad Prof and Admin About the Job The Data
Science Project Manager (DSPM) will be primarily responsible for
overseeing a team of data analysts and quality assurance/control
professionals who are developing a real world database for Research
Evaluating Vagal Excitation Anatomical Links (REVEAL), a large
NIH-funded multi-site international clinical trial. This study's
focus is to collect and maintain a "first-in-kind" comprehensive
dataset of clinical and biologic longitudinal data for vagus nerve
stimulation which can have major scientific and clinical impact for
a multitude of health conditions. Additionally, this hire will
manage a team of SQL developers who are supporting the underlying
infrastructure for the REVEAL trial and the M Health Fairview's
learning health system (LHS) datamart team. The latter also
supports the data democratization and delivery work of the Clinical
Quality, Outcomes, Discovery and Evaluation (CQODE) Core of the
Center for Learning Health System Sciences (CLHSS). This role
oversees a team of 5 and will report to the Data Programs Manager
in CLHSS with project direction provided by the Director of the
REVEAL Data and Analysis Core (DAC). The DSPM will be involved in
process and solutions design and innovation, technical project
planning, implementation, documentation, quality assurance, and
hiring. The DSPM will interface and coordinate work with IT,
clinical, and academic stakeholders and support teams. This
position receives minimal guidance and requires the ability to work
well independently and as part of a team. The successful candidate
will have strong analytical, organization, project management, and
communication (written and oral) skills to guide a
multi-disciplinary team and ensure deliverables are timely and meet
requirements. This position also requires a high tolerance for
ambiguity to research and develop solutions to undefined research
topics. CLHSS is committed to diversity, equity, and inclusion in
its staffing, operations, and research. Duties/Responsibilities:
90%: REVEAL Grant Provide leadership of the data and analysis core
team in the delivery of high-quality data science services within
committed time frames Organize cross-functional activities, monitor
team performance, and ensure timely completion of the project Build
and execute operational and technical project plans working with
the Director of the DAC Oversee a team of analysts in the
management and translation of the LHS datamarts to the REVEAL
vagabase Oversee the process for the transfer of the Vagabase and
any relevant metadata and code to the NIH's public data repository
Manage approximately 5 FTE data analysts and quality assurance
staff. Provide leadership for staff and foster a professional,
diverse and equitable working environment for people from all
backgrounds, communities, and identities, where staff are empowered
and accountable Lead meetings with the larger study team and
present DAC updates and execute on meeting action items Facilitate
and ensure project compliance with various governances and policies
(UMN, HIPAA, Fairview, etc.) Maintain a living data management plan
in collaboration with external partners (i.e. NIH) 10%: Clinical
Quality, Outcomes, Discovery & Evaluation (CQODE) Core Manage
highly technical projects: actively manage scope and change;
identify risks and issues, prioritizing conflicting needs; handle
matters expeditiously and proactively; follow through to successful
completion, often with deadline pressures Effectively manage
interest holder expectations and resource requirements
Collaboratively work with Solutions Architect when infrastructure
needs arise related to LHS datamart platform or REVEAL DAC Set up
and establish project specific technologies (in collaboration with
our Solutions Architect) to support project delivery strategy
Program Description: The Center for Learning Health System Sciences
is a one of a kind partnership between the Medical School and
School of Public Health with a goal to decrease the time it takes
for science to make it from the lab to the clinic in pursuit of
better health outcomes for the patients we serve. IMDS is a unit
within the center to develop innovative computational methods and
provide data science support to other units. Learn more about the
center by visiting: med.umn.edu/clhss Work Arrangements: This
position follows UMN Work. With Flexibility. guidelines. Currently,
the position will be primarily working from home. There may be
occasional needs to be on campus and over time there may be a need
to set a regular schedule for a few days on campus each week. Work
hours should follow a regular schedule between 7-5, M-F. Salary
range: $85,000-92,000 Qualifications Required Qualifications: BA/BS
with at least 4 years of research/technical project management
experience or an advanced degree in computer science, data science,
engineering, biostatistics or related field plus 2 years of related
experience Demonstrated ability to lead technical projects and
understand the technology stack, data lifecycle, and data science
method development from ideation to closure, set and maintain
deadlines, prioritize assignments, proactively problem-solve
Excellent interpersonal and communication (written and verbal)
skills Commitment to positive team dynamics, client satisfaction,
and creating a diverse, equitable, and inclusive environment Strong
knowledge of healthcare data management concepts and
regulatory/compliance policies (HIPAA, IRB, etc.) Working knowledge
of common organization- or research-specific and other computer
application programs. These may include, but are not limited to:
Redcap, SQL, Box/Dropbox, Google Workspace, Microsoft Office Suite,
Zoom, Qualtrics (or other survey tools), command line, tools like
Calendly and Slack, Github, Jupyter notebooks, connecting to
servers/cloud computing systems Strong initiative and ability to
work independently, as a part of a team, and with changing
priorities Ability to prioritize multiple projects while meeting
deadlines in a timely manner, and demonstrate strong organizational
and problem solving skills Preferred Qualifications: Experience
with data science, AI/ML, natural language processing,
biostatistics, and computer vision Project management certification
Six Sigma certification Exposure to statistical modeling and/or
advanced analytics using R or Python. Experience with federated
learning solutions Experience with T-SQL, PL/SQL, SAS and/or R
programming languages Knowledge of clinical data and healthcare
code sets and ontologies (ICD9/ICD10, CPT, NDC/RXNorm, LOINC, etc.)
About the Department The Center for Learning Health System Sciences
(CLHSS) is a collaboration between the University of Minnesota
Medical School and the School of Public Health to create value in
health delivery systems by establishing an iterative cycle of
leveraging existing evidence and gathering new knowledge, applying
our work into direct population health... For full info follow
application link. The University recognizes and values the
importance of diversity and inclusion in enriching the employment
experience of its employees and in supporting the academic mission.
The University is committed to attracting and retaining employees
with varying identities and backgrounds. The University of
Minnesota provides equal access to and opportunity in its programs,
facilities, and employment without regard to race, color, creed,
religion, national origin, gender, age, marital status, disability,
public assistance status, veteran status, sexual orientation,
gender identity, or gender expression. To learn more about
diversity at the U: http://diversity.umn.edu.
Keywords: University of Minnesota, Brooklyn Park , Data Science Project Manager, Executive , Minneapolis, Minnesota
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