Data Scientist

Lensa; Indianapolis (IN); On-site; USD 63,000 - 163,000; Full time

Job summary

A leading organization in Indianapolis is seeking a Data Scientist to lead innovative research projects focusing on critical data analysis for health service research. The ideal candidate will possess a Master's degree and significant experience in statistical analysis, machine learning, and data visualization techniques to drive impactful insights.

Qualifications

• Five years of progressive experience in data science.
• Experience in health service research focusing on racial and gender disparity.
• Hands-on experience with machine learning models.

Responsibilities

• Collaborate with research teams to define project objectives.
• Manage and execute statistical research projects.
• Implement analytical models into production.

Skills

Data mining

Statistical analysis

Machine learning

Pattern recognition

Predictive modeling

Data visualization

Education

Master's degree in statistics, applied mathematics, or related discipline

Tools

R

SAS

SQL

Tableau

R Shiny

HTML

JavaScript

Excel

PowerPoint

Job description

2 days ago Be among the first 25 applicants

Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners.

Description

Job Description:

Collaborate with investigators and research teams to develop an understanding of needs and to define key objectives and aims. Manage and execute research projects. Research and devise innovative statistical models for data analysis, collaborating with statisticians as needed. Participate in an iterative research process by discussing findings with investigators, research teams, and other stakeholders and modifying models and analyses based upon discussion. Enable smarter data analysis processes and implements analytics for meaningful insights. Work as the lead data Scientist, identifying and integrating new datasets that can be leveraged throughout the department/organization. Identify relevant data sources to help address research needs and collect large structured and unstructured datasets and variables. Work closely with the investigators, research teams and other stakeholders to strategize and execute the development of datasets. Devise and utilize algorithms and models to mine data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Analyze data for trends and patterns and interpret data with a clear objective in mind. Implement analytical models into production by collaborating with other stakeholders. Communicate analytic solutions to investigators, research teams and other stakeholders and implement improvements as needed. Assist with preparation of proposals, presentations, abstracts, manuscripts, and other dissemination materials.

Job Requirements

• Master's degree in statistics, applied mathematics, or related discipline.
• Five (5) years of progressive experience in data science, including health service research with a focus on racial and gender disparity.
• Additional experience must include:
• data mining, mathematics, and statistical analysis, including machine learning techniques such as neural networks and random forests;
• pattern recognition and predictive modeling, with hands-on experience in implementing machine learning models and algorithms;
• R and SAS for statistical analysis, specializing in survival and longitudinal analysis;
• SQL and familiarity with AWS platform;
• data visualization tools (e.g., Tableau, ggplot2, plotly, leaflet, tmap), with a strong emphasis on visualizing all types of data, particularly geospatial data;
• R Shiny for creating dashboards and Swift for building iOS apps;
• HTML and JavaScript for website building;
• SQL for database management;
• Excel and PowerPoint for reporting and presentation.
• Must have current authorization to be employed in the U.S. without employer sponsorship.
  
  

Employer: Regenstrief Institute, Inc.

Work Location: 1101 West 10th Street, Indianapolis, IN 46202

Apply online at https://www.regenstrief.org/careers/

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Sign in to set job alerts for “Data Scientist” roles.

Indianapolis, IN $63,000.00-$162,800.00 3 weeks ago

Center, IN $38,388.00-$44,968.00 5 days ago

Indianapolis, IN $74,090.00-$156,000.00 3 days ago

Indianapolis, IN $168,000.00-$294,800.00 15 hours ago

Postdoctoral Research Scientist - Industry Medical Device R&D

Indianapolis, IN $121,500.00-$198,000.00 1 week ago

Indianapolis, IN $105,800.00-$174,800.00 4 days ago

Scientist – API Manufacturing Process Support

Indiana, United States $197,000.00-$295,000.00 1 week ago

Indianapolis, IN $124,300.00-$227,900.00 4 days ago

Indianapolis, IN $60.00-$80.00 3 weeks ago

Indianapolis, IN $124,300.00-$227,900.00 4 days ago

Indianapolis, IN $151,500.00-$222,200.00 1 day ago

Indianapolis, IN $105,000.00-$135,000.00 4 days ago

Indianapolis, IN $61.44-$66.44 2 hours ago

Indianapolis, IN $170,000.00-$230,000.00 3 weeks ago

Advisor - Clinical Research Scientist - Neuroscience Clinical Development: Neuropsychologist

Indianapolis, IN $142,500.00-$228,800.00 1 week ago

Scientist – API Manufacturing Process Support

Indianapolis, IN $64,500.00-$167,200.00 2 weeks ago

Advisor Research Scientist (Purification) - ADN RAMP Team

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.