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Researcher Jobs in Haddonfield, NJ (NOW HIRING)

Swarthmore College

Postdoctoral Researcher

Swarthmore, PA · On-site

$55K - $65K/yr

Postdoctoral Researcher Job no: 495592 Work type: Limited Term Full Time Location: Swarthmore Categories: Staff, Salary (Exempt), On Campus Swarthmore College is a highly selective liberal arts ...

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Researcher information

What is a researcher?

Researchers are professionals who systematically investigate topics to discover new information, validate existing knowledge, or solve problems. They work in various fields such as science, medicine, social sciences, and technology. Researchers design studies, collect and analyze data, and present their findings through reports, articles, or presentations. Their work is crucial for advancing knowledge and innovation in many industries.

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, critical thinking, and a solid educational background relevant to the research field, often at least a master's or doctoral degree. Familiarity with data analysis software, laboratory equipment, academic databases, and research methodologies is typically required. Excellent written and verbal communication, curiosity, and collaboration are standout soft skills in this role. These skills ensure rigorous, innovative research outcomes and effective knowledge sharing within the scientific community.

What do researchers do?

The main duty of a researcher is to perform research, the type depending greatly on the field in which you work. For example, someone who works in documentary film might do archival research and look for visual material that would fit well with a particular film. A researcher in a scientific field, such as biomedical technology, may look into particular drug treatments and provide information to clinical trial designers or other academic researchers. Many professors or academics perform research as part of their scholarly duties.

What are some common challenges researchers face when working on collaborative projects, and how can they be addressed?

Researchers often encounter challenges such as coordinating across different disciplines, aligning project goals, and managing communication within collaborative teams. These issues can be addressed by establishing clear roles and responsibilities from the outset, holding regular meetings to ensure alignment, and using collaborative tools to track progress. Open communication and mutual respect among team members are essential for overcoming misunderstandings and fostering a productive research environment.

What is the difference between Researcher vs Data Analyst?

AspectResearcherData Analyst
Required CredentialsBachelor's or Master's in relevant field; often advanced degrees for research rolesBachelor's or Master's in statistics, data science, or related fields
Work EnvironmentAcademic, laboratory, or research institutions; sometimes corporate R&DBusiness, finance, marketing, or healthcare settings; often office-based
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonResearcher vs Data Analyst

The main difference between a Researcher and a Data Analyst lies in their focus and work environment. Researchers typically conduct experiments, develop theories, and work in academic or research settings, often requiring advanced degrees. Data Analysts analyze data to inform business decisions, usually working in corporate environments with a focus on data interpretation and reporting. While both roles require strong analytical skills, their daily tasks and industry applications differ significantly.

Do I need a PhD to be a researcher?

A PhD is not always required to be a researcher, as many roles accept candidates with a bachelor's or master's degree, especially if they have relevant skills and experience. However, for advanced research positions or academic roles, a PhD is often preferred or required. Skills in data analysis, critical thinking, and familiarity with research tools are also important for success in research roles.
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Infographic showing various Researcher job openings in Haddonfield, NJ as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, 2% Temporary, and 6% Contract. Highlights an 85% In-person, 9% Hybrid, and 6% Remote job distribution.

Machine Learning Researcher

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 22 days ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • Develop automation tools to streamline research and system development
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Partner with engineering teams to implement and test models in production environments

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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