Research Scientist

• Set technical direction for core replenishment R&amp;D.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
• Drive fundamental changes to our core system from research through production.
• Lead research and development for new product and business challenges.
• Mentor scientists and engineers, set standards for experimental rigor.

Staff Applied Scientist

• Lead, staff, and manage Cresilon’s Preclinical Research activities.
• Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life-cycle.
• Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices.
• Develop, write, and/or review study protocols and reports. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates.
• Administrater and manage Cresilon's preclinical regulatory strategy and communication.
• Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites.
• Ensure that the company operates within the scope of regulatory compliance, including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon.
• Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge.
• Oversee the development of and modifications to preclinical models to address project needs.
• Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines.
• Surveys the literature to identify and compare competitive product performance and safety risks.
• Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc)
• Work cross-functionally with Regulatory and Quality to assess project risks, product safety, and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary.
• Manage budgetary requirements for all research projects to support efficacy and safety programs.
• Lead the effort to publish surgical research in peer-reviewed journals.
• Regularly interface with management to ensure research operations reflect overall corporate vision/strategy.
• Work with the VP of Technology and the Director of R&D to ensure long-term vision and goals are met to reflect the company’s charter.nd

Preclinical Principal Scientist, Research & Development

• Define and drive long-term technology roadmaps for topological qubits, including materials, device architectures, and integration strategies
• Lead development of topological quantum devices, with direct involvement in experiments, simulations, and prototype evaluation
• Work closely with device, integration, process, AME, PDK, and test teams to translate concepts into scalable semiconductor architectures
• Guide R&D of advanced materials, including III‑V heterostructures, epitaxy, superconductors, and topological material systems
• Contribute to experimental design, data analysis, and failure learning cycles for quantum devices
• Define system architectures linking qubits with cryogenic control and read-out electronics
• Drive modeling and validation strategies to improve coherence, performance, manufacturability, and scalability
• Translate device innovations into semiconductor-compatible integration approaches (BEOL, superconducting wiring, heterogeneous integration)
• Establish technical benchmarks, requirements, and success metrics aligned with internal and partner programs
• Serve as primary technical interface with customers and research partners to shape joint development efforts
• Lead and contribute to external collaborations, funded programs, and research proposals
• Communicate technical strategy, risks, and tradeoffs to leadership and multidisciplinary teams
• Mentor engineers and establish technical standards across topological quantum R&D

Quantum Topological Qubits Research Scientist

• Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering.
• Leverage massive structural biology and biophysical datasets, building novel architectures that capture complex geometric and physical priors.
• Contribute to publications and present scientific findings at internal and external venues.
• Solve real, pressing problems in drug discovery that enable new portfolio capabilities.
• Drive publications and present scientific findings at internal and external venues.

Machine Learning Research Scientist, Senior

• Own design, development, and production deployment of document understanding systems
• Design and deploy semantic chunking models for legal documents
• Build document enrichment systems using taxonomies
• Develop LLM-based knowledge graph construction pipelines
• Lead knowledge distillation efforts for model compression
• Design evaluation frameworks using expert annotation
• Provide technical input on AI strategy and roadmap

Lead Applied Scientist, Document Understanding

• work closely with software engineers, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system
• push the state of the art and apply the latest advances in ML to improve buyer and seller experiences
• build user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers
• develop models for personalized ranking, multi-objective optimization, diversity constraints
• design foresight and intent prediction models that anticipate future buyer needs
• improve feed reactivity and freshness, ensuring recommendations adapt quickly to user actions
• prototype, optimize, and productionize large-scale ML models
• conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines

Senior Applied Scientist

• Lead the design and delivery of ML and GenAI solutions for complex, ambiguous, cross-functional problems.
• Define success metrics, validation plans, and pathways to production.
• Partner with product, engineering, and domain experts to translate business needs into feasible technical roadmaps, de-risking assumptions and aligning milestones to outcomes.
• Design online experiments and quasi-experimental analyses; instrument and monitor business KPIs to quantify value and inform decision-making.
• Mentor junior scientists and engineers, share best practices, and cultivate a high bar for scientific rigor, coding standards, and reproducibility.
• Communicate approach, trade-offs, and results to technical and non-technical audiences; provide realistic estimates and influence decision-making across the organization.

Senior Applied Research Scientist

• Guide the end-to-end technical architecture of Adobe's Agentic Product
• Lead the production buildout of the agent
• Drive hands-on implementation and technical decision-making
• Champion the adoption of AI-assisted engineering practices
• Guide best practices in developer experience

Principal Scientist – Agentic Product

• Developing novel ePTFE-based membrane platforms for various applications
• Drive New Product Development by delivering membrane platforms for Liquid and Gas Purifications
• Develop membrane technology from concept to pilot demonstration and manufacturing scale-up
• Customize solution packages to meet Voice of Customers in semiconductor applications
• Leverage polymer engineering for processing-structure-property relationships
• Collaborate internally and externally for technological development

Principal Scientist II

• Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
• Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
• Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
• Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
• Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
• Generate and communicate data-driven insights that influence product, risk, and company strategy
• Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
• Contribute to best practices for model development, experimentation, documentation, testing, and production reliability

Senior Applied Scientist, Credit Risk

• In this role, you will operate as a scientific leader within the Research Sciences (RS) organization, supporting our Scientific Engagement and Applied Research (SEAR) function, innovating and translating predictive modeling approaches—such as digital twins and other advanced simulation frameworks into decision grade solutions for pharmaceutical and academic partners.
• Lead the design, development, and validation of advanced predictive modeling solutions, for digital twins and other patient-level simulation approaches, in clinical development and adjacent use cases (e.g., trial design, cohort selection, endpoint prediction, treatment effect estimation, etc.))
• Advance a methodological strategy against existing and future use cases for applied AI in RWD/RWE by appropriate application of machine-learning, deep learning, causal inference, and multimodal modeling approaches
• Ensures that prediction models are scientifically rigorous, clinically grounded, and aligned to decision-oriented use cases
• Serve as a scientific lead in client engagements, working closely with our Life Sciences Partnership team to apply, or proactively develop, Flatiron’s modeling strategies and solutions to biopharma clinical development needs
• Translate complex methodological concepts into clear, decision-relevant insights for technical and non-technical stakeholders through presentations, reports and other modes of engagement
• Act as the organization’s external scientific engagement lead for predictive modeling and applied AI, representing the company at national and international conferences, industry forums, and through publications and scientific communications
• Lead authorship of abstracts, manuscripts, and external publications, establishing Flatiron as a leader in applied AI and predictive modeling
• Develop and disseminate training on the application of predictive models and applied AI solutions to multiple cross-functional partners in a highly matrixed environment
• Partner with Product, Engineering, and Data teams to shape reusable capabilities into existing or novel scalable platforms for predictive analytics

Principal Scientist, Predictive Modeling – Applied AI

• Lead and contribute to end-to-end research projects using multimodal physiological and behavioral data
• Design rigorous studies and analyses to answer challenging scientific questions
• Develop and apply advanced statistical and computational models to answer meaningful health questions
• Translate evidence and research insights into actionable product solutions
• Build and maintain strong working relationships across Health Science, Data Science, and Product squads
• Contribute to external scientific dissemination through abstracts, posters, and peer-reviewed manuscripts
• Support literature synthesis and help contextualize findings within current evidence

• Conduct comprehensive literature reviews and provide critical epidemiological insights
• Assess epidemiological data and literature to support disease contextualization and regulatory submissions
• Oversee epidemiological work with external vendors for literature reviews and regulatory deliverables
• Design and implement innovative database studies to quantify risks
• Conduct post-approval safety studies and develop strategies to address safety signals
• Engage with regulatory agencies on safety epidemiologic issues and participate in Risk Management Committee activities

Associate Director, Safety Surveillance Research Scientist

• Build and improve applied ML systems
• Develop, evaluate, and improve models that help identify customer readiness
• Use behavioral, conversational, operational, and CRM data to analyze performance and improve model quality
• Define offline and online evaluation approaches, select metrics tied to business outcomes
• Independently explore new models and enhancements to existing models
• Work closely with product managers, engineers, and other scientists to refine problem statements

Applied Scientist

• Lead process transformation across Analytical Sciences production labs, Foundational Chemistry labs, R&D environments, and Manufacturing Quality Services labs
• Map current-state capabilities while operating in parallel with business-as-usual (BAU) activities
• Identify gaps, redundancies, and inefficiencies across laboratory operations and service delivery models
• Evaluate workflows across multiple sites, teams, and laboratory functions
• Develop and implement skills matrices to assess workforce capabilities and identify proficiency gaps
• Align resources, roles, and processes to optimize efficiency and scalability across the network
• Define and analyze key performance metrics, including samples processed per role, non-conformance/error rates, and time per sample
• Leverage data-driven insights to drive process optimization and continuous improvement
• Implement scalable solutions that enhance throughput, data quality, compliance, and overall operational performance
• Design and implement systems and tools to capture, track, and report key laboratory performance metrics
• Establish standardized methods for data collection, ensuring accuracy, consistency, and traceability
• Enable real-time or near-real-time visibility into operational performance to support decision-making and continuous improvement.

Principal R&D Scientist

• Set and refine quantitative biomarker strategies across multiple programs, aligning with Precision Medicine Strategy Leads and senior stakeholders.
• Translate program objectives into testable hypotheses, analytical roadmaps, and decision criteria that inform clinical development and asset strategy.
• Architect exploratory analyses of multi-modal datasets (genomic, transcriptomic, proteomic, metabolomic, clinical, and other biomarkers) to generate actionable insights.
• Define and review statistical frameworks, including hypothesis testing, modeling approaches, and power/sample-size analyses, ensuring appropriate interpretation.
• Oversee the correct application of statistical models on integrated datasets and drive clear, decision-oriented interpretation for translational and clinical teams.
• Contribute to the vision for scalable, reproducible pipelines and automated workflows that support enterprise-wide biomarker discovery and clinical development.
• Direct the design and enhancement of computational workflows for novel biomarkers; evaluate, integrate, or build tools as needed.
• Provide guidance on data cleaning, integration, and visualization standards to enable robust, interpretable analyses.

Principal Scientist – Quantitative Translational Scientist

• Serving as a technical lead for the development of datasets, tasks, and evaluation frameworks for foundation models
• Building external collaborations and community efforts to build high-quality datasets and biologically meaningful tasks for complex problems in digital biology
• Establishing benchmarks and evaluation criteria, and demonstrating the strengths of our research output to promote tangible progress in the field
• Inventing novel training and inference techniques, harnessing the power of NVIDIA accelerated computing platforms
• Publishing original research and releasing open-source software
• Collaborating with research and engineering teams across NVIDIA to translate research into products and services
• Mentoring emerging researchers and helping set the technical direction of the project

Senior Research Scientist, Digital Biology

• Support the SVP of Research with research and administrative tasks
• Obtain datasets, data cleaning and wrangling, and descriptive statistics
• Find relevant material, compile, and synthesize scholarly literature
• Support writing and editing reports and presentations
• Schedule internal and external meetings, prepare agendas, background materials, and memos for meetings
• Take notes at meetings and keep team members organized
• Draft emails and correspondence on behalf of the SVP of Research

Research Assistant

• Develop and implement machine learning and AI solutions to address business problems
• Design experiments, build models, and translate research into production-ready features
• Collaborate with product and engineering teams to deliver measurable impact for customers
• Learn from deep domain experts about a variety of complex and interesting real-world problems

• Leading a dedicated research portfolio: Designing and executing primary research on subjects related to data quality, online sampling methodologies, and the effects of AI on online research (both independently and in collaboration with the wider team)
• Producing high-grade, publishable research: Conducting work that meets the standard expected at leading academic venues and industry conferences, contributes meaningfully to live debates in the field, and is publishable in high IF journals
• Building and managing external partnerships: Cultivating relationships with academic institutions and industry partners, identifying collaboration opportunities, and managing those relationships through to research outputs
• Presenting and disseminating your work: Representing Prolific at academic conferences and industry events, and working with our marketing team to maximise the reach and impact of research findings
• Contributing to the wider sciences agenda: Our current work spans data quality, representativeness, synthetic data, and methodological innovation. We're looking for someone who can help shape this agenda, not just execute within it

See all jobs on JobTailor

Staff Applied Scientist

Preclinical Principal Scientist, Research & Development

Quantum Topological Qubits Research Scientist

Machine Learning Research Scientist, Senior

Lead Applied Scientist, Document Understanding

Senior Applied Scientist

Senior Applied Research Scientist

Principal Scientist – Agentic Product

Principal Scientist II

Senior Applied Scientist, Credit Risk

Principal Scientist, Predictive Modeling – Applied AI

Research Scientist

Associate Director, Safety Surveillance Research Scientist

Applied Scientist

Principal R&D Scientist

Principal Scientist – Quantitative Translational Scientist

Senior Research Scientist, Digital Biology

Research Assistant

Applied Scientist

Research Scientist