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Biostatistician

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: New River Community College
Full Time position
Listed on 2025-12-04
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
  • Healthcare
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Biostatistician I

Position Details

Job Title:

BIOSTATISTICIAN

Position Number: 8150848

Job Category:
University Staff

Job Type: Full-Time

FLSA Status:
Exempt

Campus:
Off-Campus/Remote

Department Name: PUBLIC HEALTH SCIENCES

Location Code: PUBLIC HEALTH SCIENCES (06250A)

Is this split and/or fully grant funded? Yes

Duties and Responsibilities

We have an immediate opening for a Biostatistician position in Dr. Fares Qeadan's research team in the Public Health Sciences Department within the Parkinson School of Health Sciences and Public Health. We are seeking a highly experienced Biostatistician proficient in SAS and R to help lead and support our research team. The Biostatistician will play a major role in supporting study design, data management, quality assurance, and statistical analysis across a range of public health research projects.

This role will involve overseeing large datasets, discerning complex patterns, and generating actionable insights that contribute to advancing our research objectives. The candidate will also mentor junior analysts and participate in high-level research projects. In addition to data analysis, the Biostatistician will contribute to manuscript and grant writing, and foster collaboration with a multidisciplinary research team and external stakeholders;
Under general supervision, this position provides consultation on design of data processing and analysis systems, specifying the needed output, the required input and the methods of validation and quality control. Ensures the statistical validity and applicability of study activities.

Key Responsibilities
  • Data Management, Analysis & Interpretation:
    Manage and lead the analysis of complex datasets, including those from complex survey design data and ecological data, using advanced statistical techniques in SAS and R. Oversee data management processes to ensure accuracy and integrity of datasets, enabling high-quality research outputs. Identify, analyze, and interpret trends or patterns in large datasets to generate actionable insights for public health research.
  • Study Design Support:
    Provide guidance on study design, including randomization, sample size determination, and power analysis. Ensure that study protocols are methodologically sound and align with best practices.
  • Collaboration:

    Collaborate with internal research teams and external partners to support data analysis, study design, and project development. Communicate complex statistical insights to both technical and non-technical audiences.
  • Strategy Development & Implementation:
    Develop and refine high-level strategies for data analysis that align with research goals. Oversee the implementation of these strategies to ensure research objectives are met.
  • Communication, Manuscript & Grant Writing:
    Lead the preparation, review, and refinement of manuscripts for publication based on research findings. Participate in grant writing, including drafting proposals, preparing budgets, and supporting justifications for funding applications.
  • Continuous Learning & Professional Development:
    Mentor junior analysts and incorporate new statistical techniques and tools to enhance the quality of data analysis and interpretation.
  • Performs other duties as assigned
  • Minimum Education and/or Work Experience

    Masters Degree in Biostatistics required;
    PhD Preferred

    Required:

    3-5 years of previous job-related experience

    Preferred: 6-10 years of previous job-related experience

    Qualifications

    The ideal candidate should possess high adaptability, strong interpersonal skills, and be comfortable interacting with both internal and external stakeholders.

    • Demonstrable experience in data analysis and interpretation with proficiency in statistical software, especially SAS and R.
    • Strong communication skills, both written and spoken, with the ability to follow instructions, complete tasks on time, and handle confidential information.
    • Aptitude for manuscript and grant writing.
    • Proven ability to work independently, manage time efficiently, and function collaboratively in a diverse team environment.
    Certificates/Credentials/Licenses

    N/A

    Computer Skills
    • Advanced proficiency in statistical software such as R, SAS, STATA, and/or SPSS.
    • Proficiency in…
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