Data Scientist- Sr. Analyst
Company: The University Of Chicago
Location: Chicago
Posted on: May 28, 2023
Job Description:
Department -BSD PHS - Biostat Lab StaffAbout the Department
-Public Health Sciences (PHS) is the home in the Biological
Sciences Division to biostatistics, epidemiology and health
services research. These core fields in public health research
share a focus on the development and implementation of complex
analytic methods to understand the determinants of health, the
efficacy of experimental treatments, and the structure of health
care at the population level. Bringing together these fields in one
department underscores their commonality and enhances opportunities
for interdisciplinary research. Faculty members lead local,
national, and international studies, and also welcome opportunities
to collaborate with faculty across the Biological Sciences Division
and the university. Substantively, our research themes include
social and environmental determinants of health, genetics and
disease, the economics of health care, and the evaluation and
implementation of new technologies in public health and clinical
care. In terms of methodological expertise, areas in which our
faculty has developed innovative approaches include: risk factor
measurement; multilevel, clustered and longitudinal data; clinical
trials; administrative health data; social networks; and
statistical methods to assess the genetic and molecular basis of
disease.Job Summary -The primary responsibility of the Sr. Data
Scientist Analyst is to partake in research collaborations between
the Biostatistics Laboratory and the Department of Neurology within
the Biological Sciences Division. The successful candidate will not
only be a thought leader on the data side of clinical research
projects, working directly with scientists to leverage data to
answer questions, but also have the technical ability to execute
those plans. From exploring, summarizing, and manipulating data
using common data science tools (Python and R primarily) to
implementing machine learning algorithms on digital images and time
series data, this job entails a wide range of data science
activities. This job requires a candidate with a firm understanding
of multiple data science activities as well as an ability to
bootstrap knowledge around others.This at-will position is wholly
or partially funded by contractual grant funding which is renewed
under provisions set by the grantor of the contract. Employment
will be contingent upon the continued receipt of these grant funds
and satisfactory job performance.Responsibilities
- Builds predictive models using both machine learning as well as
classical statistical techniques.
- Designs and executes statistical tests, as well as interprets
the results.
- Manages data on a variety of research projects with several
different data types (images, time series, relational databases,
etc.).
- Implements machine learning and data management techniques in
either R or Python.
- Knowledge of both machine learning as well as classical
statistical techniques for developing predictive models.
- Performs complex ETL activities on a variety of different
datasets.
- Generates reproducible data processing pipelines leveraging
common data science tools.
- Writes technical documentation and user guides.
- Coordinates with research teams on data activities,
establishing guidelines, setting deadlines and communicating
results.
- Serves as a primary point of contact between researchers and
outside technical resources.
- Analyzes
moderatelycomplexdatasetsforthepurposeofextractingandpurposefullyusingapplicableinformation.
-
Providesprofessionalsupporttostafforfacultymembersindefiningtheprojectandapplyingprincipals
ofdata science in manipulation, statistical applications,
programming, analysis andmodeling.
-
Cleans,transforms,merges,andmatchesbetweenlargeandcomplexresearchandadministrativedatasets.Plans
own resources to collect, organize, and analyze information from
the University's various internal data systems as well as from
externalsources.
-
Buildsandanalyzesstatisticalmodelsandreproducibledataprocessingpipelinesusingknowledgeofbestpractices
in machine learning and statistical inference. Serves as a single
point of contact for all requests and engages other IT resources to
assist as needed. May partner with other campus teams to assist
faculty with data science related needs.
- Performs other related work as needed.Minimum Qualifications
-Education:Minimum requirements include a college or university
degree in related field.---Work Experience:Minimum requirements
include knowledge and skills developed through 2-5 years of work
experience in a related job
discipline.---Certifications:---Preferred QualificationsEducation:
- Masters degree or higher in data science, statistics, computer
science, or a related field.
- Courses in machine learning and time series analysis.
-Experience:
- Working in an academic research environment.
- Working with neuroscience research projects.
- Three or more years experience using either Python or R for
data analysis and management.
- Familiarity with running jobs in a high performance computing
environment.Technical Skills or Knowledge:
- Strong Linux/Unix command line knowledge (including ssh).
- Strong statistical skills including model building,
interpretation, and using simulations to evaluate model
performance.
- Knowledge of data visualization principles and common libraries
(plotly, ggplot, matplotlib, etc.).Preferred Competencies
- ---Excellent communication skills, both oral and
written.Working Conditions
- Hybrid work arrangements will be considered.Application
Documents
- Resume/CV (required)
- Cover Letter (preferred)When applying, the document(s) MUST -be
uploaded via the My Experience page, in the section titled
Application Documents of the application.Job Family -ResearchRole
Impact -Individual ContributorFLSA Status -ExemptPay Frequency
-MonthlyScheduled Weekly Hours -40Benefits Eligible -YesDrug Test
Required -NoHealth Screen Required -NoMotor Vehicle Record Inquiry
Required -NoPosting Statement -Employees must comply with the
University's COVID-19 vaccination requirements. More information
about the requirements can be found on the .The University of
Chicago is an and does not discriminate on the basis of race,
color, religion, sex, sexual orientation, gender identity, national
or ethnic origin, age, status as an individual with a disability,
protected veteran status, genetic information, or other protected
classes under the law. For additional information please see the
Staff Job seekers in need of a reasonable accommodation to complete
the application process should call 773-702-5800 or submit a
request via We seek a diverse pool of applicants who wish to join
an academic community that places the highest value on rigorous
inquiry and encourages a diversity of perspectives, experiences,
groups of individuals, and ideas to inform and stimulate
intellectual challenge, engagement, and exchange.All offers of
employment are contingent upon a background check that includes a
review of conviction history.A conviction does not automatically
preclude University employment.Rather, the University considers
conviction information on a case-by-case basis and assesses the
nature of the offense, the circumstances surrounding it, the
proximity in time of the conviction, and its relevance to the
position.The University of Chicago's Annual Security & Fire Safety
Report (Report) provides information about University offices and
programs that provide safety support, crime and fire statistics,
emergency response and communications plans, and other policies and
information. The Report can be accessed online at: -. -Paper copies
of the Report are available, upon request, from the University of
Chicago Police Department, 850 E. 61st Street, Chicago, IL
60637.
Keywords: The University Of Chicago, Chicago , Data Scientist- Sr. Analyst, Professions , Chicago, Illinois
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