Scientific Data Architect - Boston

About UsTetraScience is at the forefront of the Scientific Data and AI landscape, spearheading the Scientific AI revolution. Our mission is to design and industrialize AI-native scientific datasets, which we integrate into a robust suite of next-generation lab data management solutions, scientific applications, and AI-driven outcomes. As the category leader in this transformative market, TetraScience has outpaced all competitors in revenue generation. In the past year, we have attracted partnerships with the world's leading players in computing, cloud, data, and AI infrastructure, solidifying our position as the de facto standard in scientific data innovation.As part of your application process, we invite you to review the Tetra Way letter, penned by our co-founder and CEO, Patrick Grady. This document is crucial for understanding our values and culture, and we encourage you to reflect on its contents to assess your alignment with our unique approach to team building. If you join us, you will be expected to embrace and embody these principles daily.

Who We AreTetraScience is at the forefront of the Scientific Data and AI landscape, driving the Scientific AI revolution through the creation and industrialization of AI-native scientific datasets. Our innovative approach is embodied in a suite of advanced laboratory data management solutions, addressing various scientific use cases and enabling AI-driven outcomes.As a leading entity in this transformative market, TetraScience has outperformed its competitors in revenue generation, attracting partnerships with major players in computing, cloud services, data, and AI infrastructure. Explore our latest updates and achievements in our TetraScience Newsroom.Before applying, we invite you to review the Tetra Way letter from our co-founder and CEO, Patrick Grady. This document will help you assess if TetraScience’s values and ethos align with your own. Your commitment to these principles will be essential as you embody them in your daily work at TetraScience.Who You AreYou are a strategic and analytically driven professional with a passion for merging scientific insights with state-of-the-art technology. You excel in collaborative environments, working with scientists, product managers, and engineers to translate complex scientific data into actionable insights.Possessing extensive expertise in drug discovery, preclinical development, CMC, or Quality, you are adept at identifying innovative use cases that enhance AI and machine learning applications. Your ability to engage effectively with both scientific and business leaders positions you as a vital contributor to maximizing the potential of scientific data.We seek a dynamic, forward-thinking individual passionate about developing requirements for complex solutions aimed at R&D and Quality professionals within Life Sciences. You demonstrate extreme ownership and have a proven track record of extracting maximum value from data through enrichment, analysis, and integration with AI and machine learning technologies.Your enthusiasm for direct customer engagement is crucial. You thrive in high-impact, interactive settings where collaboration leads to significant outcomes.

Your Impact at Lila Join our team as a Machine Learning Scientist focused on pioneering multi-modal reasoning through vision-language models (VLMs) leveraging real-world scientific data, including figures, plots, and microscopy data from various sources. Your innovative designs will contribute to the advancement of Scientific Superintelligence. What You Will Be Building Lead cutting-edge research on multi-modal reasoning systems that analyze scientific data (images, plots, text, etc.) using advanced and custom VLMs. Design and implement training, adaptation, and test-time strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) tailored for scientific comprehension tasks. Create datasets and benchmarks from authentic scientific artifacts (e.g., microscopy images, spectra, protocols) to evaluate model performance. Develop perception modules (e.g., OCR, table/structure recognition, plot parsing) for handling multi-modal data types. Collaborate with domain scientists and engineers to transition research into production-ready systems for enhancing scientific superintelligence. What You’ll Need to Succeed A graduate degree in a relevant discipline (Computer Science/AI, Applied Mathematics/Statistics, Electrical Engineering) or a physical sciences field (Materials, Chemistry, Physics) with a strong focus on machine learning; or equivalent research/industry experience. A proven track record in multi-modal machine learning or VLMs, evidenced by deployed systems, publications, or contributions to open-source projects. In-depth understanding of scientific QA/benchmarks and custom evaluation design. Experience with multi-modal fine-tuning, document parsing, dataset curation, and benchmarking. Robust engineering skills utilizing modern machine learning frameworks (e.g., PyTorch, Hugging Face). Strong communication and collaboration skills in cross-functional environments. Bonus Points For Experience with scientific data modalities in laboratory settings, such as microscopy images. Publications in leading ML/CV/NLP conferences or demonstrable impact in applied industrial research. Contributions to open-source multi-modal tools, evaluation suites, or datasets. About Lila Lila Sciences stands at the forefront of scientific superintelligence, operating as the world’s first platform and autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are committed to revolutionizing discovery by harnessing AI to enhance every aspect of the scientific method.

Role Overview Genomics England is hiring a Scientific Curator for a 12-month fixed-term contract based in Cambridge. This role focuses on managing and organizing scientific data within the genomics field. What You Will Do Curate and maintain scientific datasets to support research and clinical projects. Work closely with researchers and clinicians to ensure data accuracy and accessibility. Help advance projects that influence patient care and the future of medicine. Location This position is based in Cambridge.

Mirai Bio, based in Cambridge, MA and supported by Flagship Pioneering, develops information molecule therapeutics to address diseases that have resisted traditional treatments. The company brings together nanoparticle technology and advanced informatics to create new therapies and accelerate scientific experimentation. Role overview The Vice President of Scientific Strategy & Research Enablement will play a central role in expanding Mirai Bio’s research capabilities. Reporting to the SVP/Head of Platform and working as part of the extended Executive Leadership team, this individual contributor position focuses on building the foundation, partnerships, and systems that enable scientists to concentrate on discovery and innovation. The role has significant influence over how scientific strategy is connected to execution and platform growth. Key responsibilities Design and implement systems, workflows, and collaborations to support scientific teams Create operational frameworks that move research efficiently from invention to discovery Establish infrastructure and partnerships to enhance research productivity and data quality Translate platform capabilities into impactful programs Requirements Strong understanding of modern research environments and scientific operations Background in building scalable systems that improve scientific output Skill in connecting strategic planning with practical execution Collaborative approach that helps scientists focus on innovation This position offers the opportunity to shape research strategy and operations at a growing biotech company, with room for professional growth as part of the leadership team.

Your Impact at Lila As a Machine Learning Scientist specializing in Scientific Reasoning, you will be at the forefront of advancing AI systems designed to think like scientists. Your role involves crafting innovative frameworks that extend the capabilities of LLM-based reasoning methods while also developing scalable systems that enhance Lila’s platforms. This position merges profound theoretical insights with hands-on ML engineering, facilitating breakthroughs in the generation, testing, deployment, and optimization of scientific hypotheses. What You Will Be Creating Develop and formalize frameworks for scientific reasoning using LLMs, incorporating structured prompting, reasoning chains, and computational strategies at test time. Investigate and implement techniques for in-context learning, self-reflection, and adaptive reasoning within scientific discovery processes. Create scalable model prototypes aimed at addressing cutting-edge scientific challenges. Collaborate with scientists and engineers to embed domain knowledge into reasoning systems that unify symbolic and statistical methodologies.

Redgate Software develops tools that help data professionals manage and protect critical databases. As organizations face growing data needs, evolving regulations, and new technologies, Redgate’s products play a key role in supporting these changes. The Shared Applications & Services team oversees the business systems and data flows that underpin daily operations. This group addresses complex technical problems and values collaborative decision-making, drawing on input from across the team to shape its direction. Role overview The Business Systems Architect leads the design and structure of Redgate’s internal systems. This includes a varied landscape of SaaS platforms, services, data integrations, and business processes. The role involves developing and sharing an architectural vision and roadmap for Shared Applications & Services, balancing long-term strategy with immediate needs. Working closely with teams in Sales, Marketing, Finance, and Operations, the Business Systems Architect makes practical decisions that align business goals with technical delivery. The position requires designing and guiding cross-system solutions, relying on experience, sound judgment, and facilitation skills rather than authority. Establishing architectural standards and shaping group decision-making processes are also key parts of this role. Location This position is based in Cambridge.

TetraScience is at the forefront of the Scientific Data and AI revolution, creating AI-native scientific datasets that power next-generation lab data management solutions and drive transformative scientific outcomes.About UsAs a leader in the Scientific AI market, TetraScience is recognized for generating more revenue than any of our competitors combined. In the past year, major players in computing, cloud, data, and AI have chosen TetraScience as their go-to partner for co-innovation and market strategies. For more information, visit our Newsroom.As part of your application, we encourage you to review the Tetra Way letter, written by our co-founder and CEO, Patrick Grady. This document will provide you with insights into our values and culture, helping you determine if TetraScience aligns with your professional ethos.Your RoleAs a Scientific Business Analyst, you will leverage your analytical mindset and strategic thinking to connect scientific insights with advanced technology. You will collaborate with scientists, product managers, and engineers to derive actionable insights from complex scientific data.With your expertise in Analytical Development and synthetic route optimization, you will identify innovative applications for AI and machine learning. Your strong communication skills will enable you to engage effectively with both scientific and business stakeholders, maximizing the value derived from scientific data.We seek a proactive, disciplined individual who is passionate about defining requirements for sophisticated solutions within R&D and Quality sectors of Life Sciences. You will embody principles of extreme ownership, demonstrating a proven ability to extract maximum value from data through enrichment, analysis, and integration with AI technologies.This position demands self-discipline and determination as we strive to revolutionize the life sciences industry.

About the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit organization dedicated to pioneering research and education that facilitates a safe and beneficial transition to advanced artificial intelligence systems. Our mission is to produce original research and expedite AI safety initiatives through fellowship programs.Following the successful launch of our AI Safety Research Fellowship in 2025, where our inaugural cohort made significant contributions including a spotlight paper at the Mechanistic Interpretability Workshop at NeurIPS and placements at prestigious conferences such as ICLR, we are poised for rapid growth in 2026. We are excited to introduce the inaugural AIxBio Research Fellowship, which will apply our mentor-driven research model to the critical intersection of AI and biosecurity.We invite you to refer candidates and earn a $5,000 reward for any successful hires.

Are you an experienced AWS Architect looking to make an impact? Join Arete Technologies, Inc. and leverage your expertise in Amazon Web Services (AWS) provisioning and deployment. You will be responsible for automating processes and utilizing AWS technologies such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), and CloudFormation. Your role will also involve creating infrastructure qualification documents, executing test plans, and collaborating with IT Quality Teams for document approval. Strong written and verbal communication skills are essential for success in this role.

Join our innovative team as a Systems Software Architect at ttp1 in Cambridge. In this role, you will be pivotal in designing, developing, and implementing advanced software solutions that drive our deep tech initiatives. We’re looking for a visionary who can blend technical expertise with strategic insight to create systems that are not only functional but also scalable and robust.Your responsibilities will include collaborating with cross-functional teams, conducting system architecture assessments, and ensuring software meets both technical and user requirements. If you are passionate about technology and eager to work in a dynamic environment, we want to hear from you!

Miratech seeks a Genesys Cloud Architect based in Cambridge. This position centers on designing and delivering Genesys Cloud solutions that support clients in strengthening their customer communications. Direct collaboration with clients is essential to ensure each solution aligns with unique business objectives. Main responsibilities Create Genesys Cloud architectures that address specific client needs Oversee deployment and implementation of Genesys Cloud solutions Coordinate with cross-functional teams to meet project deadlines Provide guidance to clients on using cloud technology to enhance customer experience Requirements Extensive knowledge of Genesys Cloud architecture Proven experience in deploying Genesys Cloud solutions Keen interest in advancing customer interactions through technology Strong collaboration skills with both technical and non-technical colleagues

Join TetraScience, the pioneering force in the Scientific Data and AI sector, as we drive the Scientific AI revolution. Our mission is to design and industrialize AI-native scientific datasets, which power a suite of next-generation lab data management solutions, innovative scientific applications, and AI-driven outcomes. As a category leader, TetraScience has attracted the world's foremost companies in compute, cloud, data, and AI infrastructure, forming strategic partnerships that set us apart in the industry.As part of our recruitment process, we invite you to review the Tetra Way letter, authored by our co-founder and CEO Patrick Grady. This document is vital to understanding our company culture and values, and we encourage you to reflect on whether our ethos aligns with your personal values.In this pivotal role, you will report directly to the Chief Customer Officer and serve as the operational cornerstone of our customer delivery organization. You will lead a dynamic team of Senior Implementation Project Managers (SPMs), ensuring the successful deployment and adoption of the TetraScience Operating System (OS). This high-impact leadership position demands a unique combination of executive program governance and in-depth technical expertise.Your responsibilities will include:Team Leadership & Scale: Inspire and cultivate a high-performing team of Senior Implementation Project Managers. You will oversee their professional development, performance management, and instill a culture of 'Extreme Ownership.'Strategic Delivery: Steer the comprehensive execution of our most complex, pioneering enterprise programs, establishing the benchmark for TetraScience OS implementation.Standardize the Playbook: Transition our delivery approach from customized to industrialized, producing high-quality documentation, work instructions, and implementation frameworks in Confluence to create a reliable 'single source of truth.'Portfolio Governance: Define key performance indicators (KPIs) and real-time dashboards to monitor the health of product development, serving as the ultimate escalation point for any delivery challenges across the CCO’s organization.Collaboration with Cross-Functional Teams: Engage with various departments to ensure cohesive project execution and alignment with organizational goals.

Join our dynamic team at Integrated Resources, Inc. as a Data Analyst, where you will play a pivotal role in driving data-driven decisions. Your expertise in data analysis will contribute significantly to our mission of delivering exceptional solutions to our clients.As a Data Analyst, you will be responsible for gathering, processing, and analyzing large datasets to extract valuable insights. You will collaborate with cross-functional teams to translate business requirements into analytical solutions, ensuring accurate and timely reporting of key metrics.

The Company Flagship Labs 119 Inc. (FL119) is an innovative technology firm at the cutting edge of neuroscience and computation. We are on a mission to revolutionize the landscape of intelligent system development, driven by the belief that the future of artificial intelligence necessitates a radical re-evaluation of existing paradigms. Our objective is ambitious and urgent: to cultivate a future in which naturalistic, resilient intelligence can thrive and function sustainably at scale. Supported by Flagship Pioneering, we possess the courage, strategic vision, and resources essential for achieving extraordinary outcomes. At FL119, we foster a culture that is interdisciplinary and collaborative. Our teams flourish in dynamic and imaginative settings where every voice is valued, recognizing that diverse experiences, transferable skills, and genuine passion are key to our success. The Role: We are in search of a visionary and technically proficient Neuromorphic Systems Architect to join our team. We offer flexible leveling based on your experience. This position will concentrate on converting nonlinear neural dynamics into state-of-the-art computational architectures. You will engage at the intersection of neuroscience, dynamical systems theory, and hardware engineering to design and prototype electronic systems that integrate biologically inspired computation principles. This is not your typical AI accelerator role; we are looking for someone who can reconceptualize computing from foundational principles, designing architectures that embrace recurrence, nonlinearity, sparsity, event-driven signaling, and adaptive dynamics as core components rather than limitations. Your Responsibilities: Translate brain-inspired computation through dynamical systems theory into hardware-relevant abstractions. Design innovative neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates). Establish system-level architecture that encompasses memory models, communication protocols, and energy-efficient computing primitives. Collaborate closely with teams in neuroscience, signal processing, and machine learning to ensure a seamless integration of biological insights with architectural design. Lead feasibility studies, simulations, and early-stage prototyping initiatives. Assess trade-offs across CMOS, emerging devices, photonic, memristive, or other unconventional computing substrates. Contribute to our intellectual property strategy, including invention disclosures and patents. Help define the long-term computing vision of the company.

The Senior Solutions Architect at HubSpot partners with key customers to design and deliver scalable, AI-powered solutions that help organizations grow. This position combines technical consulting with hands-on development, shaping long-term platform strategies and building AI-enhanced tools for internal teams and partners. The work supports platform adoption, speeds up customer engagement with HubSpot’s AI features, and creates reusable assets for the Solutions ecosystem. Design and Build Architect and implement agentic workflows and large language model (LLM) solutions to improve customer outcomes and increase engagement with HubSpot's platform. Create working prototypes and proof-of-concept automations that demonstrate measurable business value, helping customers move from evaluation to production. Document effective technical approaches by developing libraries, playbooks, and frameworks to improve delivery efficiency for Solutions teams and partners. Advise and Lead Translate complex, multi-portal business requirements into scalable solution strategies across the HubSpot platform to deepen engagement and usage. Lead solution design for large-scale HubSpot AI implementation projects, identifying ways to unify the platform and drive efficiency throughout the customer lifecycle. Develop and advocate for multi-quarter technical roadmaps that align solution choices with business objectives, building value propositions for director-level and senior stakeholders. Guide solution design for complex, multi-hub projects that use agentic AI, advanced CRM features, APIs, and the broader HubSpot ecosystem to address customer go-to-market challenges. Identify and mitigate technical risks on high-impact projects, serving as the primary technical authority for innovative use cases. Share consolidated field insights with Product and Engineering teams to help shape HubSpot's platform roadmap. Location: Cambridge, MA, USA

Role overview Redgate Software is hiring a Data Engineer in Cambridge to shape data solutions that support analytics and AI across the company. The team values collaboration, trust, and accountability, and aims to build systems with practical impact. What you will do Design and implement data pipelines to keep Redgate’s data reliable and ready for analytics and AI initiatives. Build end-to-end data products on Databricks using SQL, Python, and PySpark, covering the full process from raw data ingestion to curated models for Power BI and AI applications. Integrate data from various source systems, each presenting unique challenges in quality and maturity. Use engineering judgment to balance data modeling, performance, cost, and structure, aiming for scalable and lasting solutions. Help define and maintain data engineering standards, with attention to reliability, testing, observability, and cost-effectiveness, while laying the foundation for future AI projects.

As a Data Quality Analyst at Integrated Resources, Inc., you will play a pivotal role in ensuring the integrity and accuracy of our data. You will be responsible for analyzing data quality metrics, identifying discrepancies, and implementing solutions to enhance overall data processes. This position is vital for maintaining our commitment to high-quality data standards and supporting data-driven decision-making across the organization.

Join Harvard University as a Data Analytics Manager and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee a dynamic team, driving innovative analytics solutions that support strategic decision-making across the university. Your expertise will be essential in harnessing data to enhance operational efficiency and improve student outcomes.

The Associate Director of Data Strategy and Governance is responsible for spearheading the University’s data governance initiatives. This role collaborates with senior leaders and data stewards to cultivate a data-driven culture, enhancing best practices in metadata management, data quality, and data security. This position plays a crucial role in elevating Harvard’s overall data maturity.Reporting to the Associate Provost for Institutional Research & Analytics and working closely with the AVP for Administrative Technology Services in HUIT, the Associate Director will coordinate efforts with both OIRA and HUIT to meet the data needs of the entire University.Key Responsibilities:This role is integral in uniting stakeholders across the University to address pressing data-related challenges, while establishing mechanisms to safeguard and strategically utilize our data. As the University’s data maturity progresses, the responsibilities of the Associate Director may adapt accordingly.Organizational Development & Communications:Lead and recruit members for the Executive Data Committee (EDC), University Data Advisory Group (UDAG), and Data Stewardship Council (DSC).Establish effective communication channels regarding data initiatives across various schools and departments and build a thriving community of practice among data stewards.Develop and sustain a curriculum for data governance training for data stewards and other key stakeholders.Enhance executive support for data governance initiatives throughout the University.Deliver strategic updates on data initiatives to various University stakeholders.Engage in thought leadership discussions and forums on data strategy and governance in higher education.Data Strategy Development:Collaborate in creating an enterprise data strategy for the University, taking the lead on project management to track progress toward its goals.Facilitate the identification, development, and promotion of strategic data initiatives.Data Governance Execution:Establish data governance standards, policies, procedures, and best practices, and create a framework to disseminate these practices among stakeholder groups.Improve the University’s management of metadata (e.g., data definitions, data lineage) across diverse data sources.Collaborate with the Information Security and Data Privacy (ISDP) team on data security and privacy efforts, ensuring compliance with regulations.