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Apprentice Astronomy Data Analysis Jobs in Rhode Island

Varsity Tutors

Astronomy Tutor

Providence, RI · Remote

$18 - $40/hr

What We Look For In a Astronomy Tutor * Advanced Subject Mastery: Deep knowledge of celestial ... analyzing light curves, and understanding redshift data. Emphasizes quantitative reasoning about ...

First Citizens Bank

Lead Data Engineer

Carolina, RI · On-site

$103K - $135K/yr

The Lead Data Engineer collaborates with senior leadership to align data strategies with business objectives and mentors team members to foster innovation and excellence Responsibilities ...

A/Z Corp

Telecommunications Apprentice

Smithfield, RI · On-site

$15 - $22/hr

Participates in data cable installations, open wiring, with conduit and on cable trays; * Assists ... Test cables to TIA/EIA level II standards with cable analyzer. * Perform other routine duties as ...

A/Z Corp

Telecommunications Apprentice

North Kingstown, RI · On-site

$16.50 - $21.25/hr

Participates in data cable installations, open wiring, with conduit and on cable trays; * Assists ... Test cables to TIA/EIA level II standards with cable analyzer. * Perform other routine duties as ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · On-site

$106K - $144K/yr

This role leads the development of sophisticated data pipelines, warehouses, and analytics platforms while mentoring junior team members and collaborating with stakeholders to drive data-driven ...

Varsity Tutors

Earth Science Tutor

Providence, RI · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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Apprentice Astronomy Data Analysis information

What is an apprentice astronomy data analysis?

Apprentice Astronomy Data Analysts are entry-level professionals who assist astronomers and researchers in collecting, processing, and interpreting astronomical data. They typically work with data from telescopes, satellites, or simulations, using specialized software and analytical techniques. Apprenticeships in this field provide hands-on experience and training, helping individuals develop skills in data analysis, programming, and scientific research. These roles are designed for those starting their careers in astronomy and looking to gain practical knowledge under the supervision of experienced scientists.

What types of projects and datasets can an apprentice astronomy data analysis expect to work with on a daily basis?

As an Apprentice Astronomy Data Analyst, you’ll frequently work with observational data from telescopes, both ground-based and space-based, including images, spectra, and time-series data. Typical tasks involve cleaning raw data, running analyses using software tools like Python or specialized astronomy packages, and collaborating with senior researchers to interpret results. You may contribute to ongoing projects related to the study of exoplanets, galaxies, or variable stars, and regularly participate in team meetings to discuss findings and troubleshoot challenges. This hands-on experience is invaluable for building technical skills and understanding the collaborative nature of astronomical research.

What are the key skills and qualifications needed to thrive as an apprentice astronomy data analysis, and why are they important?

To thrive as an Apprentice in Astronomy Data Analysis, a solid grounding in physics, mathematics, and computer science—often supported by a relevant undergraduate degree or coursework—is essential. Familiarity with data analysis tools such as Python, MATLAB, or R, as well as experience with astronomical databases and telescope data processing software, is typically required. Attention to detail, problem-solving abilities, and effective communication help candidates collaborate with research teams and interpret complex datasets. These skills ensure accurate analysis, meaningful scientific contributions, and successful integration into research environments.

What is the difference between Apprentice Astronomy Data Analysis vs Astronomy Data Analyst?

AspectApprentice Astronomy Data AnalysisAstronomy Data Analyst
Required CredentialsBasic degree or ongoing education in astronomy or related fieldBachelor's or higher in astronomy, physics, or data analysis
Work EnvironmentTraining programs, research labs, observatoriesResearch institutions, universities, observatories
Employer & Industry UsageEntry-level, learning-focused roles in astronomy projectsProfessional roles analyzing astronomical data for research or publications

In summary, Apprentice Astronomy Data Analysis is an entry-level, training-focused position for individuals developing skills in astronomical data analysis, often within educational or research settings. In contrast, Astronomy Data Analysts are more experienced professionals responsible for interpreting complex data to support scientific discoveries.

What are the most commonly searched types of Astronomy Data Analysis jobs in Rhode Island?

The most popular types of Astronomy Data Analysis jobs in Rhode Island are:

What cities in Rhode Island are hiring for Apprentice Astronomy Data Analysis jobs?

Cities in Rhode Island with the most Apprentice Astronomy Data Analysis job openings:

Apprentice Astronomy Data Analysis jobs near you
Infographic showing various Apprentice Astronomy Data Analysis job openings in Rhode Island as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Postdoctoral Research Associate in Particle Astrophysics (Gaitskell)

Brown University

Providence, RI • On-site

Full-time

Re-posted 29 days ago

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Company rating: 8.1 out of 10

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Job description

Description
The Particle Astrophysics Group in the Department of Physics at Brown University will have an opening for a postdoctoral research associate starting August 1, 2025 or earlier if desired. Timing can be negotiated. The position will involve working on the LUX ZEPLIN (LZ) dark matter search experiment, on the applications of machine learning in physics data analysis, and on new photodetector development.
Details of the research programs and the members of the Brown Particle Astrophysics Group are shown at https://particleastro.brown.edu. The group is led by Prof. Rick Gaitskell and is focused on experimental searches for dark matter. Brown is a major group in the world-leading LZ 8-tonne liquid xenon TPC direct detection experiment that is currently operating underground at Sanford Lab. Detector operations and follow-up data analysis are expected to extend into 2027.
The research will include dark matter search data analysis, nuclear recoil detector calibration techniques including the use of a deuterium-deuterium accelerator source, photodetector development for next-generation experiments, and also machine learning applied in a range of physics analyses. Previous experience with noble liquid detectors, direct dark matter search experiments, photodetectors, low-background techniques, data analysis, machine learning, or Monte Carlo simulations (GEANT4) will be advantageous. We are also looking at developing future small/fast satellite missions in particle astrophysics. There are no teaching responsibilities associated with this position.
The Brown University Department has a very active program in experimental and theoretical Astrophysics, Particle Astrophysics, Cosmology, and Particle Physics.
Applications should be submitted by December 1, 2024 for full consideration, although review of applications will continue on a rolling basis until the position is filled. Any inquiries should be sent to Particleastro_postdoc@brown.edu. Submission is made online using http://apply.interfolio.com/116965.
Brown University seeks to recruit and retain a diverse workforce to maintain the excellence of the University and to offer our students richly varied disciplines, perspectives, viewpoints, and ways of knowing and learning.
Qualifications
Initial offers will be made for one year, with the potential for renewal for a further two years. The successful applicant must have completed the requirements for a Ph.D. or equivalent qualification in physics, astrophysics, computer science, or a related disciple prior to the start of the appointment.
Application Instructions
Interested candidates should submit the following application materials:
- Curriculum vitae.
- Statement of research interests. The statement of research interests should not exceed 3 pages, excluding the bibliography.
- Three letters of recommendation submitted prior to the application deadline.
Applicants should state in their cover letter how, through their research approaches and/or public engagement, they are prepared to advance Brown's strong commitment to diversity, equity, and inclusion.

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