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Data Science Research Assistant Jobs in Vermont (NOW HIRING)

Lab Manager

Hyde Park, VT · On-site

$21.79 - $28.20/hr

Job Summary The job provides technical support activities related to scientific research projects ... Collects and enters data. Assists in analyzing data. Assists with preparation of reports ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

Showing results 41-60

Data Science Research Assistant information

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What job categories do people searching Data Science Research Assistant jobs in Vermont look for?

The top searched job categories for Data Science Research Assistant jobs in Vermont are:

What cities in Vermont are hiring for Data Science Research Assistant jobs?

Cities in Vermont with the most Data Science Research Assistant job openings:

Infographic showing various Data Science Research Assistant job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager, Venture Development

University of Chicago Library

Hyde Park, VT • On-site

Full-time

Medical, Retirement, PTO

Re-posted 10 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities


Job description

Department

SIP Polsky Technology Ventures - Administration


About the Department

The Polsky Center advances innovative ideas and technologies from the University of Chicago ecosystem to the world. Through education, resources, and programs, the Polsky Center commercializes discoveries, partners with companies, and attracts venture capital. Amongst other programming, the Polsky Center runs a top-ranked business accelerator, the Edward L. Kaplan, '71, New Venture Challenge; operates a multi-disciplinary co-working space called the Polsky Exchange; and manages the George Shultz Innovation Fund that invests in early-stage ventures. Finally, the Polsky Center houses the University of Chicago's technology transfer unit, which manages all University-based intellectual property originating from faculty research and discoveries that can be licensed to industry partners and investors.


Job Summary

Reporting to the Senior Director of Venture Development, the Manager, Venture Development will serve as a key member of the Polsky Center's Venture Development team. This position will support the Senior Director in advancing the commercialization of faculty-led computer science and physical science ventures and managing a robust network of relationships with investors. Solves straightforward problems related to the transfer and use of intellectual property. Provides professional support to faculty to transform ideas and discoveries into patents, licenses, products, services, and ventures.
The Manager will work closely with the Senior Director of Venture Development and University researchers to manage portfolio tracking and follow up; provide connections to relevant funding, talent, and advice; and support start ups with their launch, commercialization strategies, and preparation for investor engagement. Additionally, the Manager will support the director in managing the Polsky Center's engagement with the venture capital and investor ecosystem. This role supports the program development related to identification, investigation, and negotiation of licensing opportunities for permission to use intellectual property rights, including trademarks, patents or technology.

Responsibilities

  • Assists in developing and maintaining relationships with venture capital, corporate, and other investment partners to create funding and strategic opportunities for faculty startups.
  • Works closely with faculty and researchers, the Venture Development Senior Director, and partners across campus, including the Data Science Institute to understand faculty and researcher venture needs and next steps, and to identify potential resources.
  • Works with Venture Development Senior Director to support faculty to evaluate research innovations, develop commercialization strategies, navigate the venture creation process, and prepare for investor meetings and funding opportunities, including refining business plans and pitch decks.
  • Helps identify, engage, and coordinate a network of entrepreneurial talent, including mentors, to support faculty-led startups.
  • Coordinates with internal teams, including licensing, business development, and technical marketing, to align efforts across the commercialization continuum.
  • Supports operational activities related to venture development, such as budget tracking, data collection, startup updates, and process improvements.
  • Monitors and communicates trends in venture capital and emerging technology sectors, providing actionable insights to inform faculty ventures and team strategies.
  • Maintains and analyzes metrics to track the progress and success of faculty ventures and external partnerships, ensuring continuous improvement.
  • Actively solicits and evaluates inventions, materials and software arising from research for intellectual property protection and commercial potential.
  • Has a moderate/solid understanding of the legal issues concerning patent, copyright, or trademark matters. May provide advice on the patentability of inventions, infringement of patents or copyrights, and the validity of trademarks.
  • 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 Qualifications

Education:

  • Advanced degree in computer science, engineering, physics, materials science, chemistry or related discipline.

Experience:

  • Knowledge and skills developed through years of work experience in technology commercialization, venture creation, and/or investments.
  • Launching, working at, or investing in early-stage science and deep tech startups, particularly AI or data science startups.
  • Proven ability to assist in the creation and early growth of science-based faculty ventures.

Preferred Competencies

  • Familiarity with the science startup venture landscape and provide operational support to early-stage startups, especially AI/computer science and physical science startups.
  • Strong ability to build rapport and credibility with faculty, researchers, and their labs.
  • Proficiency in addressing complex technical, legal, and business issues under the guidance of senior leadership.
  • Excellent interpersonal, verbal, and written communication skills to effectively engage with internal and external stakeholders.
  • Adaptability and comfort with ambiguity in a continually evolving field.
  • Creative problem-solving skills to support faculty ventures and address day-to-day challenges.
  • Basic knowledge of intellectual property and the venture creation process, with a willingness to grow expertise in these areas.
  • Background or familiarity with data science and AI, quantum technology or material science.

Working Conditions

  • This position is currently expected to work a minimum three days per week in the office.
  • Work flexible hours according to demands of business.

Application Documents

  • Resume/CV (required)
  • Cover Letter (preferred)


When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.


Job Family

Legal & Regulatory Affairs


Role Impact

Individual Contributor


Scheduled Weekly Hours

37.5


Drug Test Required

No


Health Screen Required

No


Motor Vehicle Record Inquiry Required

No


Pay Rate Type

Salary


FLSA Status

Exempt


Pay Range

$95,000.00 - $125,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.


Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.


Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

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:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.


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