Remote Senior Quantitative Researcher Jobs
Remote Senior Quantitative Researcher jobs are open across the U.S. at remote-first firms and distributed teams in finance, technology, and data-driven industries. Employers hiring remotely right now include Commence, Biovid, and Alt Platform. See the openings below and apply to the ones that match your experience.
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Since day one, BioVid’s formula for success has been driven by a collaborative, high-performing, and growth-focused culture, where talented individuals are empowered to push their limits and excel. We believe in challenging ourselves and each other to go beyond what’s expected and deliver meaningful impact.
We are seeking a quantitative powerhouse – someone experienced at designing and executing highly nuanced research studies in complex pharmaceutical markets; experienced in complex demand and secondary data integration and triangulation.
If you're an ambitious, growth-minded professional, with a versatile research skillset, and you're eager to collaborate with driven, cross-functional teams who will inspire you to achieve your best work, we invite you to explore our Market Research Director role. This role is ideal for someone passionate about research who thrives on applying creative thinking to tackle complex challenges, has a strong foundation in diverse research methodologies, and possesses the skill to uncover powerful insights and develop compelling proposals and reports. Join us if you’re ready to take your career to new heights in a dynamic environment that values hard work, innovation, and continuous growth.
WHAT YOU’LL DO
- Design and lead large, complex, or high-visibility quantitative research engagements – primarily demand and segmentation with secondary data integration.
- Serve as a senior quantitative expert, collaborating on research design, methodology selection, advanced analytics, and interpretation of complex data.
- Oversee project quality, profitability, timelines, staffing, and strategic impact across multiple initiatives.
- Serve as a senior client partner and trusted advisor, translating complex business challenges into effective research and consulting solutions.
- Lead high-level analysis, insight development, storytelling, and executive presentations.
- Ensure technical and analytical rigor across quantitative engagements and resolve complex methodological challenges.
- Lead proposal development, pitch strategy, methodology design, and pricing discussions.
- Coach and develop team members, raising standards of execution, client leadership, and quantitative capability.
- Champion innovation, process improvement, and AI-enabled ways of working across the team.
WHO YOU ARE
- Bachelor’s degree or work equivalent required, Master’s in relevant field preferred.
- 6+ year’s primary, custom, healthcare market research industry experience required.
- Significantly experienced in demand research and analysis
- Use SPSS or other analytic software to explore data, manipulate datasets, create new variables, etc.
- Joy in exploring big ideas and applying them to real-world challenges.
- Penchant for creative problem solving and raising the bar.
- Strong attention to detail without losing the forest for the trees.
- Willingness and ability to occasionally travel out-of-state/out-of-country.
We are committed to supporting our team members not just in their day-to-day work, but in their long-term growth. That’s why we offer opportunities for professional development, a Great Place to Work-certified culture, and a comprehensive benefits package, including:
- Health, dental, and vision insurance
- 401(k) with company match
- Paid time off and holidays
- Parental leave
- Pet insurance
- Employee Assistance Program (EAP)
- Disability, life, hospital, accident, and critical illness insurance
BioVid is an Equal Employment Opportunity Employer. We provide equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race, color, religion, gender, national origin, age, disability, marital status, military status, genetic information or any other category protected by federal, state and local laws. This policy applies to all aspects of the employment relationship, including recruitment, hiring, compensation, promotion, transfer, disciplinary action, layoff, return from layoff, training, and social, and recreational programs. All such employment decisions will be made without unlawfully discriminating on any prohibited basis
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Who's Hiring


What Employers Look For
The qualifications that appear most often in remote senior quantitative researcher jobs.
- PhD in mathematics, statistics, physics, computer science, or a related quantitative field
- Advanced proficiency in Python or R for statistical modeling and data analysis
- Experience building and validating predictive models in a live or near-production environment
- Strong command of probability theory, stochastic calculus, and time-series analysis
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Demonstrated ability to communicate complex quantitative findings to non-technical stakeholders
Tips for Your Remote Senior Quantitative Researcher Job Search
Apply early to remote roles that fit
Migrate Mate lists remote senior quantitative researcher openings from across the U.S. in one place. Searching regularly and applying as soon as a role matches your background gives you an advantage before pipelines fill.
Build an async-ready research portfolio
Remote quantitative employers expect candidates to communicate methodology clearly in writing, not just in person. Document your models, assumptions, and results in written reports or notebooks that demonstrate you can collaborate without real-time explanation.
Signal deep proficiency in remote collaboration tools
Distributed research teams rely on version-controlled codebases, shared notebooks, and async code review. Showing fluency with Git, Jupyter, and collaborative environments like cloud-based workspaces tells remote employers you'll integrate without friction.
Prepare for take-home modeling assessments
Remote interviews for senior quantitative researcher roles often include multi-day take-home problems instead of live whiteboard sessions. Practice producing clean, well-documented solutions under realistic conditions, because presentation and reproducibility matter as much as the answer.
Remote Senior Quantitative Researcher Jobs: Frequently Asked Questions
How do I get a remote senior quantitative researcher job?
Target companies with distributed research teams, particularly in fintech, asset management, and tech, where remote quantitative roles are most common. Remote employers screen for strong self-direction, clear written communication, and the ability to collaborate asynchronously. Candidates who can document their modeling work, explain methodology in writing, and demonstrate independent delivery on complex research problems have a clear edge.
Which companies hire remote senior quantitative researchers?
Remote senior quantitative researcher roles are posted by Commence, Biovid, and Alt Platform and others right now, based on current remote listings on Migrate Mate as of November 2026. These include remote-first firms, distributed hedge funds and trading firms, and technology companies running decentralized research teams across sectors like finance, insurance, and data analytics.
Can you get a remote senior quantitative researcher job with no experience?
Yes, but remote entry-level quantitative researcher roles are harder to land because you're expected to work independently from day one with minimal in-person guidance. Remote-first startups and research-heavy tech companies are more open to early-career candidates. Showing a strong portfolio of quantitative projects, published models, or graduate research can substitute for direct industry experience and open remote doors.
Do you need a degree for remote senior quantitative researcher jobs?
Usually, but remote employers weigh demonstrated skills heavily alongside formal credentials. Most remote senior quantitative researcher roles expect a graduate degree in mathematics, statistics, economics, or a related field. Candidates without a traditional background can compete by showing rigorous self-directed work, published research, open-source contributions, or measurable results from prior quantitative projects.
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