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Research Jobs in Hackensack, NJ (NOW HIRING)

Bravos Research

Senior Research Analyst

New York, NY · On-site

$126K - $127K/yr

Bravos Research is a leading video-first investment research and financial media company. We help investors navigate global markets with data-driven market research and video content. We've built the ...

Wolfe Research

Equity Research Associate- Oil & Gas

Manhattan, NY · Remote

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Wolfe Research is seeking an Associate to join its Institutional Investor-ranked Integrated Oil & Gas Exploration Team in either New York or Houston. They will report to the Senior Analyst and will ...

Wolfe Research

Equity Research Associate- Oil & Gas

Manhattan, NY · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Wolfe Research is seeking an Associate to join its Institutional Investor-ranked Integrated Oil & Gas Exploration Team in either New York or Houston. They will report to the Senior Analyst and will ...

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All JobsResearch JobsResearch Jobs in Hackensack, NJ

Research information

What are some common challenges faced by professionals in research roles, and how can they be addressed?

Professionals in research roles often encounter challenges such as securing funding, managing tight deadlines, and navigating ambiguous or inconclusive data. To address these, it's important to develop strong project management skills, maintain open communication with stakeholders, and stay adaptable when adjusting research methodologies. Collaborating closely with team members and seeking mentorship can also help overcome obstacles and promote successful outcomes.

What are the key skills and qualifications needed to thrive as a researcher, and why are they important?

To thrive as a Researcher, you need strong analytical skills, attention to detail, and a relevant academic background, usually with at least a bachelor's or master's degree in your field. Familiarity with data analysis tools (such as SPSS, R, or Python), literature databases, and sometimes research certifications like CITI training are commonly required. Critical thinking, curiosity, and effective communication help researchers excel in synthesizing information, collaborating with peers, and presenting findings. These competencies enable rigorous, credible studies that advance knowledge and inform evidence-based decisions.

What kind of careers are in research?

Research careers include roles such as research scientist, research analyst, and research associate, which involve conducting experiments, analyzing data, and generating new knowledge across fields like science, social sciences, and technology. These positions often require strong analytical skills, familiarity with research methodologies, and proficiency with tools like statistical software or laboratory equipment.

What is research?

Research jobs involve systematically investigating topics to discover new knowledge, analyze data, or solve specific problems. Professionals in these roles may work in academic, scientific, corporate, or government settings, conducting experiments, gathering data, and publishing findings. Common positions include research assistants, analysts, and scientists, each contributing to advancements in their field. Research jobs require strong analytical skills, attention to detail, and the ability to communicate results effectively. These positions are essential for driving innovation and informed decision-making.

What are different careers that involve research?

Research is a vital aspect of many careers. History, anthropology, archeology, and sociology are just a few subjects that rely on the study of information. Other career paths with a heavy focus on data collection and analysis include forensic science technician, research analyst, medical scientist, agricultural and food science technician, computer and information research scientist, market researcher, archivist, and research associate. For each of these careers, you must be analytical, methodical, organized, and able to work with a team to be successful.

What is the difference between Research vs Data Analyst?

AspectResearchData Analyst
Required CredentialsDegree in research-related fields, often with specialized certificationsDegree in statistics, data science, or related fields; certifications like SAS or Tableau
Work EnvironmentAcademic, corporate R&D, or market research settingsBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutes, corporationsCompanies, consulting firms, government agencies
Common Search & ComparisonResearch vs Data Analyst

Research professionals focus on generating new knowledge, conducting experiments, and analyzing data to support hypotheses. Data analysts interpret existing data sets to provide actionable insights for decision-making. While both roles involve data analysis, research emphasizes hypothesis testing and knowledge creation, whereas data analysis centers on data interpretation for business or operational purposes.

More about Research jobs

What are the most commonly searched types of Research jobs in Hackensack, NJ?

The most popular types of Research jobs in Hackensack, NJ are:

What job categories do people searching Research jobs in Hackensack, NJ look for?

The top searched job categories for Research jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Research jobs?

Cities near Hackensack, NJ with the most Research job openings:

Research jobs near you
Infographic showing various Research job openings in Hackensack, NJ as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Research Engineer, Platform

Basis Research

New York, NY • On-site

Full-time

Re-posted 25 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research Engineers on the Platform team at Basis advance research methods and package them into reusable modules that others can build on. You will develop Basis core technology modules (fundamental algorithmic components like ChiRho, Effectful, Weighted), contribute research-driven capabilities to commercial platform offerings, and ensure research advances have clear paths to impact-whether commercial or societal.
We are looking for people who bridge research excellence and engineering rigor. The ideal Research Engineer has both published research and shipped production code, understands how to translate experimental techniques into robust implementations, and thinks carefully about software architecture that enables others to build on your work. You will identify high-value research problems aligned with Basis mission and develop them from ideation through concrete implementation.
This role is distinguished from Operations Research Engineers (who focus on internal tooling) by emphasis on advancing research methods for platform and commercial applications. You will work on Core Tech Module Teams and contribute to research that defines Basis's technological foundation.
We seek individuals who excel technically and value probing concepts at their foundations. Our research engineers aspire to do rigorous, high-quality, robust science and engineering, but are not afraid to tinker, make mistakes, and explore radically different ideas to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
We expect you to:
  • Have demonstrated ability to conduct research that is of high quality. Possible ways to demonstrate this include:
    • Publications at top-tier conferences (NeurIPS, ICML, ICLR, POPL, PLDI, OOPSLA)
    • Technical reports or preprints showing novel research contributions
    • Open-source research projects with significant adoption or citations
  • Have demonstrated ability to drive software projects from start to finish. This could be evidenced by:
    • Research code released as production-quality libraries or frameworks
    • Contributions to major open-source projects (PyTorch, TensorFlow, JAX, or equivalents)
    • Systems built that span research prototypes through deployable implementations
  • Possess deep knowledge of relevant technical areas including probabilistic programming, causal inference, program synthesis, neural architectures, or related fields central to Basis research directions.
  • Be proficient in research engineering tools including Python, PyTorch/JAX, version control, testing frameworks, documentation systems, and software engineering practices that make research code maintainable and extensible.
  • Understand paths from research to impact. You think about how research advances can translate to commercial applications, platform capabilities, or open-source contributions that benefit broader communities.
  • Value software quality and reusability. You design modules that others can build on, write comprehensive documentation and tests, and architect systems that remain coherent as they evolve.
  • Progress with autonomy and intellectual curiosity. You can identify valuable research directions, design experiments, implement solutions, and evaluate results without extensive direction.
  • Be excited about solving real-world problems and having positive societal impact through research that advances our understanding of intelligence and our ability to tackle intractable challenges.

In addition, the following would be an advantage:
  • PhD in Computer Science, Machine Learning, Statistics, or related field with publications at top-tier venues.
  • Experience at research organizations that successfully productionized innovations (Bell Labs, PARC, Microsoft Research, Google Research, Meta FAIR, DeepMind).
  • Contributions to widely-used research libraries or frameworks.
  • Background spanning multiple areas (ML + PL, causal inference + probabilistic programming, theory + systems).
  • Experience with Bayesian methods, probabilistic programming languages, or causal modeling.
  • Track record of research that influenced commercial products or open-source ecosystems.

Responsibilities:
  • Advance research methods in areas aligned with Basis mission including probabilistic programming, causal inference, reasoning under uncertainty, program synthesis, and foundations of machine learning.
  • Build Basis core technology modules producing fundamental algorithmic components that provide reusable capabilities across multiple projects and applications.
  • Package research into production-ready code by translating experimental techniques into robust implementations with comprehensive documentation, tests, and examples that enable others to build on your work.
  • Contribute to Platform development by developing research-driven capabilities that enhance commercial offerings, integrating novel techniques into platform APIs and features.
  • Identify high-value research problems by staying connected to research frontiers, understanding commercial and societal needs, and recognizing opportunities where Basis capabilities can make significant impact.
  • Develop new project concepts from ideation through concrete vision, scoping research questions, defining technical approaches, and creating compelling cases for new initiatives.
  • Collaborate across research and engineering teams to ensure research advances integrate smoothly with platform infrastructure and that engineering constraints inform research directions.
  • Ensure research has path to impact whether through commercial deployment, open-source release, academic publication, or transfer to other projects within Basis portfolio.
  • (Optionally) Publish and present findings in journals and conferences to contribute to broader research community and establish Basis thought leadership.
  • Contribute to the culture and direction of Basis by modeling excellence at the intersection of research and engineering, rigorous thinking about foundations, and commitment to building tools that advance societal capability.
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: New York City
  • Salary range: Competitive salary.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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