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Entry Level Research Software Engineer Jobs (NOW HIRING)

Dartmouth College

Research Software Engineer

Hanover, NH · On-site

$204K/yr

Position Details Position Information Posting date 03/13/2026 Closing date Open Until Filled Yes Position Number 1129555 Position Title Research Software Engineer Hiring Range Minimum $87,700 Hiring ...

RTX

Cyber Research Software Engineer II

Cambridge, MA · On-site

The Cyber Research Software Engineer II role involves developing systems and software to deter and defeat adversaries, requiring advanced software development skills and collaboration on cutting-edge ...

Ayar Labs

Sr. Engineer, Research Software

San Jose, CA

$170K - $192K/yr

Sr. Engineer, Research Software Location: San Jose, CA (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are ...

Ayar Labs

Sr. Engineer, Research Software

San Jose, CA

$170K - $192K/yr

Sr. Engineer, Research Software Location: San Jose, CA (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are ...

Ayar Labs

Sr. Engineer, Research Software

San Jose, CA · On-site

$170K - $192K/yr

Sr. Engineer, Research Software Location: San Jose, CA (on-site) Ayar Labs is shattering AI data bottlenecks by moving data at the speed of light. As pioneers of co-packaged optics (CPO), we are ...

Emonics LLC

Entry Level Software Engineer

Seattle, WA · On-site

Entry Level Software Engineer We are hiring an Entry-Level Software Engineer to support software development activities across web and backend systems. The ideal candidate should be eager to learn ...

Boeing

Entry Level Software Engineer

Concord, NC

Entry Level Software Engineer Company: The Boeing Company The successful candidate for this ... Provides information to execute and document software research and development project * Gathers ...

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Entry Level Research Software Engineer information

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$24K

$104.9K

$189K

How much do entry level research software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level research software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Research Software Engineer vs Research Data Analyst?

AspectEntry Level Research Software EngineerResearch Data Analyst
Required CredentialsBachelor's in CS, Software Engineering, or related field; some roles may prefer internshipsBachelor's in Statistics, Data Science, or related field; often includes coursework in data analysis
Work EnvironmentDevelops software tools, collaborates with research teams, writes code for experimentsAnalyzes datasets, creates reports, visualizes data for research projects
Employer & Industry UsageResearch institutions, tech companies, labs; focuses on software development for researchUniversities, research organizations, industry; focuses on data interpretation and reporting

While both roles support research activities, Entry Level Research Software Engineers primarily develop and maintain software tools, whereas Research Data Analysts focus on analyzing and interpreting data. The roles often overlap in research settings but differ in core responsibilities and skill emphasis.

More about Entry Level Research Software Engineer jobs
What cities are hiring for Entry Level Research Software Engineer jobs? Cities with the most Entry Level Research Software Engineer job openings:
What are the most commonly searched types of Research Software Engineer jobs? The most popular types of Research Software Engineer jobs are:
What states have the most Entry Level Research Software Engineer jobs? States with the most job openings for Entry Level Research Software Engineer jobs include:
What job categories do people searching Entry Level Research Software Engineer jobs look for? The top searched job categories for Entry Level Research Software Engineer jobs are:
Entry Level Research Software Engineer jobs near you
Infographic showing various Entry Level Research Software Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,863 per year, or $50.4 per hour.
Research Software Engineer

Research Software Engineer

Dartmouth College

Hanover, NH • On-site

$204K/yr

Full-time

Posted 7 days ago

Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

40th of 537 rated colleges and universities

Job description

Position Details
Position Information
Posting date
03/13/2026
Closing date
Open Until Filled
Yes
Position Number
1129555
Position Title
Research Software Engineer
Hiring Range Minimum
$87,700
Hiring Range Maximum
$109,600
Union Type
Not a Union Position
SEIU Level
Not an SEIU Position
FLSA Status
Exempt
Employment Category
Regular Full Time
Scheduled Months per Year
12
Scheduled Hours per Week
40
Schedule
Location of Position
Hanover, NH
Moore Hall
Remote Work Eligibility?
Hybrid
Is this a term position?
No
If yes, length of term in months.
NA
Is this a grant funded position?
Yes
Position Purpose
The Center for Open Neuroscience ([CON](https://centerforopenneuroscience.org)), part of the Department of Psychological and Brain Sciences at Dartmouth College, is seeking a Neuroinformagician - an enthusiastic Research Software Engineer to help build the infrastructure that makes neuroscience FAIR, Open, and Reproducible at scale. You will work on and with flagship open-source projects - including DataLad, DANDI, EMBER, and OpenNeuro Archives, and others - that are used by thousands of researchers worldwide and are central to the NIH BRAIN Initiative's ecosystem.
This is a high-impact role at the intersection of scientific computing, data engineering, and open-source community building. You will design and implement workflows for versioned data management and processing, apply them to real data wrangling tasks, contribute to national neuroimaging data archives, and help shape the standards that define how neuroscience data is organized and shared. Your work will directly accelerate brain research across hundreds of laboratories.
You will collaborate with a diverse network of developers, neuroscientists, and standards architects across institutions and countries. The role offers genuine opportunities for professional growth - whether that means deepening expertise in distributed systems, learning neuroscience domain knowledge, contributing to published research, or developing leadership within open-source communities. Opportunities to present work and engage with collaborators at scientific conferences and developer sprints are available for those who enjoy them and have content to deliver!
Description
Required Qualifications - Education and Yrs Exp
Bachelors or equivalent combination of education and experience
Required Qualifications - Skills, Knowledge and Abilities
  • Bachelor's degree in computer science, neuroscience, or related field, or ability to demonstrate equivalent proficiency through a public track record of software engineering contributions (e.g., GitHub/GitLab profile).
  • 2 years of relevant software engineering and programming experience.
  • Deep understanding of git - comfortable with its internals and able to script around git plumbing, not just routine commit-and-push workflows.
  • Solid proficiency in Python and its ecosystem: pytest, CLI frameworks, packaging.
  • Experience with free and open source software development workflows: public code review, continuous integration, issue-driven development.
  • Familiarity with virtualization/containerization (Docker/Podman, Singularity/Apptainer) and cloud platforms (AWS, GCP, or similar).
  • Ability to work independently, prioritize across multiple concurrent projects, and communicate effectively in a distributed team.

Preferred Qualifications
  • Experience with git-annex or another data versioning system (DVC, LFS) for managing large files alongside code. Even better: demonstrated depth with git-annex, DataLad, or significant contributions to git's ecosystem.
  • Hands-on experience with neuroscience data and standards: familiarity with the Brain Imaging Data Structure (BIDS) and/or Neurodata Without Borders (NWB), including practical work with neuroimaging data (fMRI, EEG, MEG) or neurophysiology recordings. Experience contributing to standards development is a strong plus.
  • Demonstrable public history of open-source development - we will review your public GitHub/GitLab profile, commit history, and community interactions as part of the evaluation.
  • Demonstrated efficiency with agentic AI systems for software development and beyond - e.g., using LLM-powered coding assistants, AI-driven code review, automated refactoring, or building AI-augmented workflows. We value candidates who thoughtfully integrate AI tools into their engineering practice to amplify productivity while maintaining code quality.
  • Working knowledge of additional languages and platforms relevant to our stack: Rust, Haskell, JavaScript/TypeScript, shell scripting.
  • Experience with high-performance computing environments and job schedulers: SLURM, HTCondor.

Department Contact for Recruitment Inquiries
Angela Beaupre
Department Contact Phone Number
646-9074
Department Contact for Cover Letter and Title
Yaroslav Halchenko, Research Professor
Department Contact's Phone Number
646-9074
Equal Opportunity Employer
Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.
Background Check
Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?
Not an essential function
Special Instructions to Applicants
This position is funded by a grant. Continuation is based upon available funds.
Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. https://policies.dartmouth.edu/policy/tobacco-free-policy
Additional Instructions
Quick Link
https://searchjobs.dartmouth.edu/postings/84966
Key Accountabilities
Description
Code Development and Maintenance
  • Design, implement, and maintain open-source software and standards for large-scale scientific data versioning, distribution, and archiving. This includes contributing to core tools (DataLad and git-annex ecosystem, DANDI CLI/API), building and improving pipelines for ingesting and validating datasets against community standards (BIDS, NWB, HED), and developing containerized and cloud-native solutions for data processing and delivery.
  • Work in the open on GitHub and other code hubs like hub.datalad.org using modern CI/CD practices, automated testing, and code review.

Percentage Of Time
50%
Description
Data Wrangling and Curation
  • Apply the tools and workflows you build to real-world datasets - organizing, validating, and curating neuroimaging and neurophysiology data from the Dartmouth Brain Imaging Center and public archives (DANDI, OpenNeuro). This includes converting raw acquisitions into standards-compliant formats (BIDS, NWB), enhancing annotations (e.g. with HED), troubleshooting data quality issues, and ensuring datasets are properly versioned and published. This hands-on work keeps development grounded in actual researcher needs and provides direct feedback into tool design.

Percentage Of Time
25%
Description
Community Engagement and Support
  • Collaborate with a distributed team of developers and researchers.
  • Engage with the open-source and neuroscience communities through issue triage, code review, user support, and participation in standards development (BIDS, NWB, HED, and related specifications).
  • Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.

Percentage Of Time
15%
Description
Documentation and Dissemination
  • Create and improve developer and user documentation for project components.
  • Contribute to blog posts, tutorials, and scientific publications that communicate the impact and usage of the tools you build.

Percentage Of Time
10%
--
Demonstrates professionalism and collegiality through actions, interactions, and communications with others appropriate to an environment that is welcoming to all.
--
Performs other duties as assigned.

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