Remote Jobs for Reseachers, Research Engineers, Research Scientists, & Research Analysts

Leads vulnerability intelligence research focused on rapidly analyzing and exploiting newly disclosed or actively exploited vulnerabilities. Develops Metasploit modules and framework improvements, conducts zero-day research, publishes technical analyses, advises detection teams, supports emergent threat response, presents research publicly, and mentors other researchers. The role requires advanced exploitation, reverse engineering, operating system, networking, and exploit mitigation expertise, plus cross-functional communication during time-sensitive security events.

Conduct manager research, maintain investment data and monitoring tools, develop asset allocation studies and capital markets materials, support Morningstar reporting functionality, and provide advisors with research-driven resources and data support. The role requires translating investment insights into actionable client-facing deliverables while managing recurring reports, surveys, searches, and multiple deadlines.

Support Dscout clients in designing, recruiting, fielding, analyzing, and managing user research projects on the platform. Train clients on platform features, recommend research methodologies, create educational materials, assist with billing and administration, support research participants, and communicate client feedback internally to improve the product. The role requires strong client service, project management, user research knowledge, qualitative analysis skills, organization, empathy, and technical curiosity.

Summer 2027 PhD research internship at Atlassian focused on AI research. The role supports distributed-first collaboration, with virtual interviews and flexibility to work remotely or from a company office.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Collaborate with quantitative researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. Build scalable software solutions using quantitative techniques to address complex financial problems. The role requires strong programming, Linux development experience, creative problem-solving, business-value prioritization, and effective stakeholder communication.

Own and grow a portfolio of global consulting and professional services firms, driving expansion, cross-sell, pricing, renewals, and seven-figure growth. Build executive relationships, convert engagement-based usage into enterprise agreements, lead cross-functional account teams, negotiate complex global contracts, conduct executive business reviews, maintain accurate forecasts in Salesforce, and provide customer insights to product and pricing teams. Regular travel to customer sites and periodic travel to headquarters are required.

Research Engineer responsible for identifying weaknesses in voice AI models, defining improvement targets, designing evaluations, curating and generating data, fine-tuning deep learning models, and rapidly shipping production systems. The role emphasizes end-to-end ownership of customer problems, measurable production improvements, practical judgment, and fast experimentation. Candidates should have strong Python and PyTorch skills, production ML experience, and ideally experience with speech technologies, distributed training, publications, open source, or public benchmarks.

Research and improve voice AI models by identifying production weaknesses, defining evaluation metrics, curating data, fine-tuning deep learning systems, and rapidly shipping solutions. The role focuses on speech-to-text, text-to-speech, voice agents, model evaluation, customer-driven research, and production machine learning systems.

The Director will lead innovative epidemiological research, develop new methodologies for real-world evidence, and collaborate with biopharma partners to enhance patient outcomes and drug development.

Participate in an in-home study by installing two video-only devices for 7–10 days, share at least 120 hours of footage per device, review and delete clips on a provided laptop, and provide consent for yourself and other adult household members. Devices are delivered and picked up at your home; must live in the Boston area and be comfortable using a computer and communicating in English.

Lead relationships with major research universities, advising institutional leaders, research computing teams, and principal investigators on NVIDIA technologies. Drive business growth, revenue forecasting, go-to-market strategy, platform adoption, and ecosystem enablement. Build partnerships across scientific disciplines, coordinate internal technical and product teams, communicate technology roadmaps, and develop expertise in emerging computational methods. Travel approximately 25% or more and support institutions in the Northeast or Mid-Atlantic regions.

Engage leading academic AI labs researching foundation models, LLMs, multimodal systems, reasoning, training, inference, and scalable AI infrastructure. Advise researchers on NVIDIA platforms, identify impactful workloads, track frontier research, translate academic feedback into product and platform opportunities, and support technical workshops, university programs, and research conferences. The role requires deep foundational AI expertise, hands-on experience with AI training or inference, and strong research engagement credibility.

Build and manage strategic relationships with R1 universities, research institutions, and government leaders. Drive adoption of NVIDIA’s accelerated computing platform across scientific research communities, identify business growth opportunities, forecast revenue, and execute go-to-market strategies. Engage principal investigators, research labs, IT teams, and internal technical groups to advance applications in AI, life sciences, climate science, engineering, and other scientific domains. Travel 25% or more as needed.

Engage university researchers and laboratories to accelerate adoption of NVIDIA AI and computing platforms. Advise research teams, integrate NVIDIA frameworks into scientific workloads, identify ecosystem opportunities, monitor research trends, coordinate conferences, and translate researcher feedback into product roadmaps and enablement programs. The role requires deep AI and computational science expertise, research credibility, hands-on experience with modern AI systems, and strong relationships across academic and open-source research communities.

Conduct novel research in AI security and cybersecurity, focusing on securing AI models, agents, systems, and infrastructure. Develop tools and processes to identify and remediate vulnerabilities, investigate adversarial machine learning, publish findings, and collaborate across NVIDIA. Present complex technical results to security, machine learning, and business audiences while contributing to secure software development and AI safety.

Lead the research, design, and implementation of Trusted Execution Environment and Confidential Computing architectures for NVIDIA NIC and DPU products. Develop security primitives, threat models, isolation architectures, attestation methods, and secure management interfaces. Collaborate with hardware, software, research, product teams, customers, and partners to address security issues, validate designs, follow standards, and extend CJDNS with distributed key management.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Engage academic and national research labs to drive adoption of NVIDIA AI and computing platforms for physics and scientific workloads. Serve as a technical advisor, integrate NVIDIA frameworks into research projects, track emerging research, build lab relationships, collaborate with sales and technical teams, support conferences, and translate researcher feedback into product, education, and platform strategies.

Design and build real-time, physics-informed AI models and synthetic data pipelines for quantum calibration and decoding. Develop surrogate models and GPU-accelerated implementations, apply reinforcement and online learning for calibration policies, co-design low-latency calibration-decoding systems, and collaborate across engineering and research to enable fault-tolerant quantum hardware.

Design and evaluate routing policies for LLM traffic, build and run agentic benchmarks, produce calibration data and routing profiles, contribute code and docs to open-source, and collaborate across engineering teams to integrate optimized inference software into NVIDIA's serving stack.

Develop and formalize methods to validate reported vulnerabilities and generate/verify safe patches for internal NVIDIA targets. Define correctness, regression, and revalidation standards; produce repeatable, auditable processes and evidence. Apply AI-assisted workflows cautiously, perform bounded applied research on vulnerability classes, and document findings for independent security review.

Research healthcare providers, benefit plans, eldercare services, and related resources to support members, nurses, and advocates. Document findings, respond to member requests, maintain accurate case records, follow up with members and providers, and ensure compliance with quality standards, HIPAA, COBRA, and applicable regulations. The role requires strong communication, organization, research, customer service, and problem-solving skills.

Leads quantitative and qualitative market research on international development, AI adoption, institutional demand, funding, procurement, competition, and commercial opportunities. Evaluates AI and data service applications, develops market assessments and strategic recommendations, manages research initiatives, prepares executive presentations, and collaborates with leadership, technical, operational, and business development teams to support market entry and growth.

Provide bilingual English-Spanish support to donors, volunteers, and fundraising teams through phone, email, chat, text, and social media. Resolve issues, coach fundraising efforts, explain St. Jude’s mission, identify engagement trends, and deliver an inclusive donor experience. The role is remote, Monday through Friday, with possible evening, weekend, and peak-season work.