Quantitative Researcher – QR1150

HealthBay; Phoenix (AZ); On-site; USD 182,000 - 228,000; Full time

Benefits offered by this job

Flexible hours

Mentorship with Principal Researcher

On-site work

Job summary

HealthBay is seeking a Quantitative Researcher for an on-site contract to work closely with a Principal Research Consultant. You will contribute expertise in data analysis, statistical modeling, and research design to drive insights and strategic decisions.

You will design and implement quantitative studies, apply advanced models to large datasets, and present findings to stakeholders. Flexible hours, weekly pay, and a collaborative, expert team onsite in Phoenix are offered.

Qualifications

• Advanced degree in a quantitative field (Master's or PhD) required.
• Proven experience conducting quantitative research and statistical analysis.
• Proficiency with R, Python, MATLAB, SAS, or similar software.
• Excellent communication and ability to translate findings for diverse audiences.

Responsibilities

• Design, develop, implement, and analyze quantitative research projects.
• Develop and apply advanced statistical models to complex datasets.
• Analyze large datasets to uncover trends, identify opportunities, and optimize processes.
• Conduct statistical analysis, hypothesis testing, and backtesting of research ideas.
• Interpret results and present actionable findings to stakeholders in clear formats.
• Document methodologies, results, and project progress clearly.
• Contribute to research publications, reports, and presentations.

Skills

Quantitative research

Statistical analysis

Data interpretation

Communication

Education

Master's or PhD in quantitative field

Tools

R

Python

MATLAB

SAS

Job description

Join a dynamic and forward-thinking research team as a Quantitative Researcher, working closely with a Principal Research Consultant. In this onsite contract position, you'll enjoy the flexibility of setting your own hours while contributing your expertise in data analysis, statistical modeling, and research design to drive impactful insights and strategic decisions. You will collaborate closely with the Principal Research Consultant to develop cutting-edge quantitative models and deliver actionable insights that drive strategic decision-making.

Key Responsibilities:

• Collaborate with the Principal Research Consultant to design, develop, implement, and analyze quantitative research projects
• Develop and apply advanced statistical models and data analysis techniques to complex datasets
• Analyze large datasets to uncover trends, identify opportunities, and optimize processes.
• Conduct statistical analysis, hypothesis testing, and backtesting of research ideas.
• Interpret results and present actionable findings and recommendations to stakeholders in clear, compelling formats
• Manage data collection, cleaning, and validation processes to ensure data integrity
• Stay informed on industry best practices, emerging methodologies, and relevant technologies
• Document methodologies, results, and project progress clearly and effectively.
• Contribute to research publications, reports, and presentations

Qualifications:

• Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Mathematics, Economics, Finance, Computer Science, or a related discipline
• Proven experience conducting quantitative research and statistical analysis
• Proficiency with statistical software (e.g., R, Python, MATLAB, SAS, or similar)
• Strong analytical, problem-solving, and critical-thinking skills
• Excellent communication skills, with the ability to translate complex findings for diverse audiences
• Ability to work independently and collaboratively in a flexible, fast-paced environment, with a high level of professionalism.

Why Join Us?

• Competitive weekly pay: $4,000 – $5,000
• Flexible working hours to suit your schedule
• Direct mentorship and collaboration with a Principal Research Consultant
• Opportunity to tackle challenging, high-impact research projects
• Work onsite with a passionate and experienced team
• Supportive, intellectually stimulating work environment.