18 of 18 Remote Permanent Experimental Design Jobs

machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We'll start by reviewing your CV. A one-hour interview with our recruitment team More ❯

to define and refine product strategies that align with customer needs and company objectives. Collaborate with internal stakeholders to shape the technical roadmap. Design Control Leadership: Lead the design control process, overseeing the planning, execution, and documentation of product development activities to ensure robust and compliant … medical device industry, with a focus on hands-on product development and regulatory compliance. Proven track record in leading technical teams and managing design control processes while remaining actively involved in execution. Experience with FDA submissions and familiarity with global regulatory standards. Strong project management and organizational skills … ability to prioritize and manage multiple initiatives. Exceptional technical documentation and communication skills, with the ability to engage diverse stakeholders. Hands-on expertise in experimental design, data analysis, and product testing within a lab environment. The role is a remote position, with a 40-hour workweek, flexible More ❯

basic statistics, Gage R&R, Analysis of Variance, Failure Modes and Effects Analysis, Statistical Process Control and Capability, acceptance sampling, correlation and regression, and experimental design. Demonstrated successful organizational influence in areas including, but not limited to, compliance excellence, continuous improvement, product-related risk mitigation, and/or manufacturing More ❯

empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. More ❯

USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory … closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and More ❯

of Amgens research and development. Your Key Responsibilities: Requirements Elicitation : Partner with Research scientists to understand their needs and define informatics system requirements for experimental data and metadata management. System Implementation : Lead or assist with the deployment of scientific software platforms, Electronic Lab Notebook (ELN), and Laboratory Information Management … Systems (LIMS). Data Integration : Facilitate seamless integration of assay/study metadata, compound information, experimental results, etc. into cohesive systems for research teams, ensuring data consistency. AI Integration for Molecule Characterization : Implement and manage AI/ML tools that support the design of experiments with predicted … efficacy. Data Visualization : Use platforms such as Spotfire, Tableau, Power BI, etc., to build interactive dashboards that enable scientists to visualize and analyze complex experimental data, facilitating data-driven decisions in research workflows. Process Optimization : Find opportunities to improve workflows using hardware-software automations, AI-driven insights and data More ❯

development is typical Strong technical background and clearly demonstrated expertise in software development processes such as requirements specification and backlog refinement, architecture and design, and implementation. Experience in unit testing, integration and system testing, and regression testing. Working knowledge in software configuration management, quality assurance, and/or … modeling (input analysis, runs for statistics, output analysis), and verification and validation Experience in modeling and simulating software development processes Experience in statistical design of experiments (DOE) for simulation models Active DoD TS/SCI clearance We offer a competitive compensation package where you'll be rewarded based More ❯

churn models to inform marketing spend and retention strategies. Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends. Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs. Collaborate with cross-functional teams to … Looking For 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets More ❯

in the B2B SaaS enterprise space. While you will set the strategic marketing direction, your unique value lies in your proven ability to design, implement, and scale AI solutions for demand generation, customer lifecycle optimization, content creation, and performance analysis. You understand that effective marketing requires not just … technical prowess but also strong brand stewardship and design sensibility to guide the output of AI systems. You will lead a small team and collaborate across functions, ensuring AI-driven marketing is both technically sound and aesthetically aligned with Userlane's brand. Responsibilities: Develop and execute a comprehensive … projects, methodologies, and outcomes. Proven ability to leverage AI agents and automation frameworks to create efficient, scalable marketing processes. A keen eye for design and brand aesthetics: Demonstrable design taste and ability to ensure brand consistency and quality across all marketing outputs, including those generated or More ❯

the definition of the personalisation strategy and market roadmaps, advising on how to build or buy AI & Analytics solutions, and supporting with the design of content and journey navigation tools. What will this involve? Lead on the build of personalisation and recommendation models that enhance customer experience (CX … . Help design a reliable, secure, scalable platform that allows Data Scientists to bring machine learning models to production. Drive the optimisation of performance analyses, landing page testing and funnel optimisation. Act as a bridge across teams, fostering an environment that allows for strong working relationships, trust and … partnership towards a common goal. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to have Experience More ❯