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Research Assistant Software Developer Jobs in Harrison, NJ

Sr Software Developer

New York, NY · On-site

$150K - $210K/yr

This is a Lead Software Engineering position at the Vice President level, which is part of the job ... The Machine Learning Research group is looking for a senior ML developer and DevOps/MLOps engineer.

OSTP Software Developer

New York, NY · On-site

$75K - $85K/yr

Kitware is a research and development software solutions provider with a mission to advance science ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Sr Software Developer

Manhattan, NY · On-site

$60 - $79.25/hr

... software solutions that support business needs, specifically focusing on machine learning and DevOp ... Responsibilities : • Work with ML researchers to develop, productionize, and deploy ML based ...

The core of our effort is rigorous research into a wide range of market anomalies, fueled by our ... Role: We are looking for a quantitative software developer to join our team and contribute to ...

The core of our effort is rigorous research into a wide range of market anomalies, fueled by our ... Role: We are looking for a quantitative software developer to join our team and contribute to ...

Research Assistant I

New York, NY · On-site

$23.35 - $35.51/hr

Proficient in the use of computers and software, including Microsoft Excel and Word. PHYSICAL ... POSITION & UNIT ACCOUNTABILITIES • Support Clinical Research Operations: Assist with patient ...

Davidson Laboratory is seeking a research assistant to perform testing in the wave tank on an ... D. in a relevant engineering or closely related discipline, or equivalent combination of education ...

Research Assistant I

New York, NY · On-site

$23.35 - $35.51/hr

What you will be doing Assist in the synchronization of research activities under the direction of ... software (specifically Microsoft based tools Knowledge of Orthopaedic and/or Rheumatologic ...

Clinical Research Assistant

New York, NY · On-site

$23.35 - $35.51/hr

RESPONSIBILITIES: Assist in the synchronization of research activities under the direction of the ... software (specifically Microsoft based tools) Knowledge of Orthopaedic and/or Rheumatologic ...

... Software Developer to act as the technical bridge between their core engineering products and ... • Assist in eligibility file processing and system monitoring to help maintain data integrity ...

Spine Research Assistant

New York, NY · On-site

$22.53 - $34.28/hr

... engineering. Please contact: Dr. Sariah Khormaee for more information. khormaees@hss.edu We are ... Expertise using scientific and statistical computing software, such as STATA, MATLAB and R optional ...

Showing results 41-60

Research Assistant Software Developer information

See Harrison, NJ salary details

$30.9K

$105K

$252.9K

How much do research assistant software developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for research assistant software developer in Harrison, NJ is $105,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $111,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by research assistant software developers when working on interdisciplinary research projects?

Research Assistant Software Developers often collaborate with researchers from diverse academic backgrounds, which can introduce challenges in communication and aligning technical requirements with research goals. Adapting software solutions to evolving project needs and integrating new methodologies or datasets can require quick learning and flexibility. Balancing rigorous coding standards with rapid prototyping, especially under tight research deadlines, is another frequent challenge. However, this role provides valuable exposure to cutting-edge research and fosters strong problem-solving and teamwork skills.

What is a research assistant software developer?

Research Assistant Software Developers are professionals who support research projects by developing, maintaining, and optimizing software tools and applications. They work alongside researchers, helping to design experiments, process data, and create algorithms or simulations necessary for the research. Their role bridges the gap between software engineering and academic research, ensuring that technical solutions meet the specific needs of scientific studies. This position often requires strong programming skills, familiarity with research methodologies, and the ability to collaborate in interdisciplinary teams.

What is the difference between Research Assistant Software Developer vs Data Analyst?

AspectResearch Assistant Software DeveloperData Analyst
Required CredentialsBachelor's in CS, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Research Assistant Software Developer and a Data Analyst lies in their focus areas. Research Assistant Software Developers primarily work on developing software tools for research purposes, often within academic or research settings. Data Analysts focus on interpreting data to inform business decisions. Both roles require programming skills and analytical thinking, but their end goals and work environments differ.

What are the key skills and qualifications needed to thrive as a research assistant software developer, and why are they important?

A Research Assistant Software Developer should have solid programming skills, a background in computer science or a related field, and experience with software development methodologies. Familiarity with tools like Git, Python or Java, and data analysis libraries, as well as knowledge of research-specific platforms, is commonly required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure the development of robust research software, facilitate collaboration with research teams, and contribute to the advancement of scientific projects.
What job categories do people searching Research Assistant Software Developer jobs in Harrison, NJ look for? The top searched job categories for Research Assistant Software Developer jobs in Harrison, NJ are:
What cities near Harrison, NJ are hiring for Research Assistant Software Developer jobs? Cities near Harrison, NJ with the most Research Assistant Software Developer job openings:

Sr Software Developer

Morgan Stanley

New York, NY • On-site

$150K - $210K/yr

Full-time

Re-posted 9 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


Job description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
The Machine Learning Research group is looking for a senior ML developer and DevOps/MLOps engineer. An individual who can sit down with fellow developers, ML researchers, and clients to build out and deploy bespoke but maintainable solutions across heterogeneous technologies.
What you'll do in the role:
  • Work with ML researchers to develop, productionize, and deploy ML based project for clients.
  • Dig into client systems to help retrofit with the team's creations.
  • Maintain and support production systems.
  • Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops.
  • Hack away at compiling and repackaging tricky libraries used by researchers.
  • Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies.
  • Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape.
  • Build and maintain tooling and systems to promote ML development within the firm.
  • Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next.

What you'll bring to the role:
  • Minimum 10 years of related technology experience.
  • Strong background in Python and Java/C/C++. Development, packaging, patching, etc.
  • Debugging, profiling, and performance engineering.
  • Familiarity with trading systems.
  • Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc.
  • Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime.
  • At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.)
  • Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases.
  • Experience designing ETL pipelines.
  • Linux (system level understanding, building software, debugging, etc.)
  • Self-starter capable of taking an idea and seeing it all the way from research to execution.
  • Ability to clearly illustrate complex ideas using documentation and diagrams.

Nice to have:
  • Dask, Ray, Spark, and other distributed compute tech.
  • OSS development.
  • Mathematics, e.g., statistics, linear algebra.
  • Background in data science.
  • Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.)
  • Knowledge of model monitoring tools (mlflow, tensorboard, etc.)
  • Experience with CUDA, ROCm, etc.
  • Exposure to the financial sector (equities, fixed income, etc.)
  • Knowledge of GitHub (general PR workflow, Actions, etc.)

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

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