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Remote Data Research Jobs in Indiana (NOW HIRING)

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... CMS (4%). * Research, interpret, and ensure application of HHS/CMS rules and regulations to ... with company's remote work policy. * Domestic travel required less than 2% of the time.

Conducts or supervises market research, customer discovery, and productmarket fit assessments ... Builds strong cases, ROI models, and scaling recommendations advised by evidence and data.

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... Lead qualitative and quantitative research, rapid prototyping, and lean experiments (POVs, MVPs ...

Configure the software using approved workflow and business rules * Assist the data conversion ... Interact regularly with members of the Research and Development, Professional Services, and Support ...

Configure the software using approved workflow and business rules * Assist the data conversion ... Interact regularly with members of the Research and Development, Professional Services, and Support ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Configure the software using approved workflow and business rules * Assist the data conversion ... Interact regularly with members of the Research and Development, Professional Services, and Support ...

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Remote Data Research information

What are the typical daily responsibilities of someone working in Remote Data Research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What is a Remote Data Research job?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive in the Remote Data Research position, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in Indiana? The most popular types of Data Research jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Research jobs? Cities in Indiana with the most Remote Data Research job openings:
Postdoctoral Research Fellow

Postdoctoral Research Fellow

University of Notre Dame

Notre Dame, IN • On-site, Remote

Contractor

Posted 6 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

300th of 555 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

This posting is for visibility purposes only. To formally apply for this position, submit your materials here by Jul 27, 2026:

The University of Notre Dame invites applications for a Postdoctoral Research Fellow with deep expertise in quantitative data analysis, data science, and artificial intelligence (AI). This fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.

The research fellow will contribute to a new research project that is creating a Pan-Amazon Evidence and Action Hub for socio-economic and ecological flourishing. The hub will systematically synthesize and harmonize remote sensing, survey, census, and citizen science data to support analyses of issues for action in partnership with local communities and Indigenous Peoples in the Amazon region. Fellows will integrate and harmonize fragmented data from diverse sources into a coherent, usable form to support novel analyses that advance key sustainability goals. The work of the Hub will generate findings to support the design and adoption of interventions that respond to changing needs of the region and its people around climate change, energy, mining, soil and water contamination, food production and livelihoods.

The postdoctoral fellow will join a cohort that functions as a central research skills hub, supporting and elevating the sustainability-related research efforts of faculty and students across Notre Dame. The fellows will help advance impactful, solution-oriented sustainability research that engages ecological, social, economic, and ethical dimensions in an integrated manner.

The postdoctoral fellow will assume the following key responsibilities:

  • Collaborate with faculty to design, implement, and support sustainability-related research projects requiring advanced data analytics.
  • Develop and maintain a centralized platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data.
  • Design and implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with documented lineage and quality metrics.
  • Build tools and interfaces (APIs, catalogs, dashboards, or reproducible workflows) that make Hub data discoverable and usable by faculty, students, and partner organizations with varying technical capacity.
  • Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources(e.g. reports, policy documents, gray literature, or citizen science observations),
  • Apply advanced statistical, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights.
  • Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
  • Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Data, AI, and Computing Initiative, both significant investments from the Provost's Office. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The Data, AI, and Computing Initiative's core aim is to advance purposeful data, AI, and computing - excelling in foundational research while catalyzing interdisciplinary collaboration and real-world translation to address pressing societal challenges.

This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.

Qualifications
  • Ph.D. (in hand by the starting date) in Data Science, Computer Science, Statistics, Geography, Environmental Science, or a related field with a strong computational focus. Applicants with interdisciplinary degrees are welcome.
  • Strong data engineering skills in Python and/or R, preferably in building reusable data pipelines rather than one-off analysis scripts.
  • Demonstrated experience harmonizing heterogeneous data sources: reconciling inconsistent schemas, units, geographies, and vintages across datasets such as remote sensing products, surveys, censuses, and administrative records, and documenting those decisions in a reproducible way.
  • Expertise in geospatial data, including working across raster and vector formats, coordinate reference systems, and spatial aggregation or interpolation across mismatched administrative and ecological units.
  • An interest or experience in using machine learning or AI tools with environmental or socioeconomic data
  • Excellent communication skills and the ability to translate technical infrastructure decisions for collaborators from a wide range of disciplines.
Additional Information

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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