Boston Science & Technology Job Listings

Scientific Business Analyst- Boston or Bay Area63846020162051120

Workable

Scientific Business Analyst- Boston or Bay Area

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand. Requirements What You Have Done PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality. Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing. Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus. Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred. Exceptional communication and storytelling ability to engage technical and executive stakeholders. Prior experience in customer-facing, consulting, or commercial-scientific interface roles. What You Will Do You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston or Bay Area Region. Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities. Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases. Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes. Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI. Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions. AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance. Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption. Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching

Boston, MA, USA

Scientific Business Analyst, Scientific AI- Boston63845353210113121

Workable

Scientific Business Analyst, Scientific AI- Boston

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand. Requirements What You Have Done PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality. Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing. Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization. Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus. Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred. Exceptional communication and storytelling ability to engage technical and executive stakeholders. Prior experience in customer-facing, consulting, or commercial-scientific interface roles. What You Will Do You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities. Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases. Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes. Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI. Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions. AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance. Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption. Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching

Boston, MA, USA

Scientific Data Architect - Boston63393512065539122

Workable

Scientific Data Architect - Boston

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions. You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions. You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains. You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML. This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Have Done PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities. Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Requirements What You Will Do You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions. Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability. Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. Own, scope, prototype, and implement solutions including: Data model design (tabular & JSON) Python-based parser development. Lab software (e.g., ELN/LIMS) integration via APIs. Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) Programmatically interrogating proprietary instrument output files. Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings Proactively communicate implementation progress and deliver demos to customer stakeholders. Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform. Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Company paid Life Insurance, LTD/STD Remote Work, when not visiting customers onsite We are not currently providing visa sponsorship for this position.

Boston, MA, USA

Senior Software Engineer, Modeling & Simulation63499795996289123

Workable

Senior Software Engineer, Modeling & Simulation

Help redefine how the DoD makes multi-billion-dollar force-design decisions. In this role, you'll fuse physics-driven simulation, interactive computing, and verified AI code-generation to create next-generation wargaming platforms. We’re seeking an experienced software developer who can own key parts of a larger extensible, cloud-distributed simulation environment, and inspire a small, high-conviction team by leading from the front. What you’ll do Design & implement a scalable, interactive physics simulation that runs seamlessly in cloud and on-prem clusters. Own core functionality in modern C++ from multi-threaded performance tuning to continuous integration. Collaborate with product & AI teams to embed verified, AI-generated algorithms directly into a developer SDK for extending the platform. Prototype quickly, iterate faster: deliver usable capability to government end-users in weeks, not months. Set the engineering bar—write clean code, document rigorously, and mentor teammates through code reviews and pair programming. Why Code Metal? Mission with impact: your work shapes the digital battlefield models that influence real-world acquisition. Velocity: small teams, rapid iteration cycles, and the mandate to ship. Ownership: no passengers, everyone pushes code that hits production. Requirements Must-have credentials Bachelor's degree (or equivalent experience) in applied math, scientific computing, physics, or a related field. Proven expertise in multi-threaded C++ for high-performance applications. Hands-on experience with large-scale, physics-based simulations. Active Secret clearance or eligibility to obtain one. Bonus points Master’s (or equivalent experience) in applied math, scientific computing, physics, or similar. GPU compute chops—OpenCL, CUDA, or both. Prior work running physics simulations in distributed cloud environments. TS/SCI clearance. Benefits Health care plan with 100% premium coverage, including medical, dental, and vision. 401k with 5% matching. Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). Flexible hybrid work arrangement. Relocation assistance for qualifying employees.

Boston, MA, USA