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

Conduct qualitative and primary research (interviews, surveys, desk research), synthesize insights for senior technology executives, produce polished written and verbal deliverables, build thought-leader relationships, and continuously improve research processes using approved AI tools.

Lead enterprise email and SMS marketing enablement using Salesforce Marketing Cloud and Data Cloud. Design personalized journeys, segmentation, automation, and data management. Drive compliance, deliverability, and sender reputation practices. Partner cross-functionally to adopt new features, enable technical teams, and define roadmap and success metrics for scalable, data-driven campaigns.

Lead end-to-end equity research publishing: editorial review, supervisory oversight, production, distribution, and regulatory compliance. Manage publishing systems and workflows, ensure FINRA adherence, partner with stakeholders, and build and coach a high-performing publishing team focused on quality, accuracy, timeliness, and continuous improvement.

Field-based Clinical Research Associate responsible for site initiation, monitoring, and closure of clinical study centers per AZ procedures, ICH/GCP and local regulations. Collaborates with local study teams and monitors to ensure study quality, data integrity, drug handling, and timely delivery. May progress to Lead CRA/Senior CRA or Site Liaison with experience.

Field-based Clinical Research Associate responsible for site selection, initiation, monitoring, and close-out of clinical trial centers. Ensure compliance with ICH/GCP and local regulations, manage study drug handling and data quality, collaborate with local study teams and monitors, and deliver study milestones. Position requires significant travel (50–70%).

Field-based CRA responsible for site initiation, monitoring, and closure of clinical study centers per AZ procedures, ICH/GCP, and local regulations. Collaborates with local study teams and monitors to deliver quality data, manage study drug handling, and ensure timelines. May take on Lead/Senior CRA or Site Liaison duties with tenure.

Field-based Clinical Research Associate responsible for initiation, monitoring, and closure of clinical study sites per AZ procedures, ICH/GCP, and local regulations. Collaborates with local study teams to deliver quality data, manage study drug handling, and support study delivery. Role requires CRA therapeutic experience and significant travel.

Support jury research, mock trials, and focus groups by configuring and operating trial presentation and data-collection technology, managing AV logistics, capturing and editing video, building OnCue databases, troubleshooting live presentations, and coordinating with research and litigation teams. Frequent travel (40-50%) for on-site sessions required.

Support geospatial data acquisition, layer management, metadata tagging, source verification, and quality control. Assist map production, dashboard updates, documentation, and contribute to Geospatial Data Readiness Reports using Esri ArcGIS tools and data stewardship practices aligned with DoD/IC standards.

Lead or support real-world evidence studies by contributing to study design, conducting literature reviews and qualitative interviews, analyzing real-world data, preparing protocols, technical reports, manuscripts, and client presentations, and using statistical software and Microsoft Office to deliver timely, high-quality outputs for life sciences clients.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Provide document preparation and formatting, website and portal maintenance, upload and QC of protocols and communications, monitor ClinicalTrials.gov, support meeting materials and agendas, manage project communications, and perform general administrative support for the ACTG Network Coordinating Center.

Lead research and program performance for a mental health organization: manage reporting, develop outcomes models, analyze clinical data, oversee clinical protocols, produce RFP responses, define KPIs and automate reporting, and provide onsite coaching and training to ensure culturally competent, compliant services.

Manage pre- and post-award contract administration for sponsored research, ensuring compliance with federal and agency regulations, budget monitoring, recordkeeping in university systems, and serving as liaison among investigators, administration, and sponsors.

10-week analyst internship focused on primary market research for biopharma clients. Interns receive structured training, mentor support, and contribute to live qualitative and quantitative studies, research materials, data processing, and report development. Program includes opportunities in behavioral science, AI initiatives, and a capstone project, with potential conversion to full-time roles.

Lead and develop a team of UX researchers, ensure high-quality, client-facing qualitative research delivery, translate insights into strategic recommendations, drive adoption of research innovation (including AI-augmented tools), and partner with Customer Success on scoping and portfolio growth.

Lead site-level clinical trial activities (Phase I-IV) through on-site and remote monitoring to ensure ICH/GCP compliance, patient safety, data quality, and timely study delivery. Manage site relationships, train site staff, identify and mitigate risks, support audits/inspections, resolve data queries, and collaborate with cross-functional teams to drive study execution and process improvement.

Lead end-to-end memory feature development: fine-tune and train LLMs for extraction, updates, consolidation, and conflict resolution; prototype and productionize research; build large-scale evaluation (offline metrics and online A/B tests); collaborate with customers and engineering to deliver low-latency, reliable, cost-effective systems.

Lead research and development of atmospheric radiative transfer models, adding capabilities to an advanced multi-physics model. Collaborate with scientists and engineers, document and present results, and stay current with numerical methods and radiative transfer and remote sensing advances.

Lead cross-functional teams to define and execute ultrasound AI research strategy, prioritize and manage the research portfolio, partner with academic/clinical sites, support study execution, and measure research impact to drive product and business outcomes.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Draft, review, and negotiate research-related agreements (grants, clinical trials, subawards, data use, MTAs, NDAs). Ensure compliance with institutional policies and federal/state regulations, identify and mitigate legal, financial, compliance, and IP risks, collaborate with faculty and administrators, and maintain systems of record and service-level expectations.

Lead Convergent's enterprise legal function: set legal and IP strategy, manage a growing legal team and outside counsel, ensure 501(c)(3) and cross-border compliance, support complex transactions (licensing, spinouts, government-funded R&D), build scalable legal systems and playbooks, and advise executive leadership on risk and governance.

Design and optimize high-performance kernels and custom operators for attention, MoE, GEMM, quantization and collective communication across NVIDIA, AMD and AWS Trainium. Improve LLM inference runtimes, develop distributed training/inference solutions at scale, use compilers and SDKs (Neuron, Torch Dynamo, PyTorch/XLA), contribute to open-source, and publish technical findings.