Cambridge Science & Technology Job Listings

Mathematics Experts Needed (Master's / PhD) [Remote] $60-$80 USD/Hr (Cambridge)64563815179266120

Craigslist

Mathematics Experts Needed (Master's / PhD) [Remote] $60-$80 USD/Hr (Cambridge)

LEARN MORE: https://work.mercor.com/jobs/list_AAABmppcIABwOoa6CwRN2pod?referralCode=79a309fa-fdbf-4e9b-9126-f8fbed665859&utm_source=referral&utm_medium=share&utm_campaign=job_referral Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain. You're a good fit if you: - Received your undergraduate degree in US/UK/Canada/Western Europe - Received your graduate degree (or are currently studying) at a top US/UK/Canada/Western European university - Have high attention to detail - Have exceptional written and verbal communication skills - Have excellent proficiency in English Here are more details about the role: - The role is ongoing starting in November and continuing with rolling applications - This phase of the project is scoped to last 1-2 months - Experts are expected to contribute 4-6 tasks per week, each taking several hours to complete - The work is flexible (fully remote and asynchronous) - The work will require rigorous mathematics expertise and ability to follow complex instructions Screening Process: - You will need to complete a short AI interview and form - the whole application process should last 20-40 minutes About Mercor Mercor specializes in recruiting experts for top AI labs and is based in San Francisco, CA. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, and Jack Dorsey. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. LEARN MORE: https://work.mercor.com/jobs/list_AAABmppcIABwOoa6CwRN2pod?referralCode=79a309fa-fdbf-4e9b-9126-f8fbed665859&utm_source=referral&utm_medium=share&utm_campaign=job_referral

6 St Johns Rd, Cambridge, MA 02138, USA

$60-80/day

laboratory/facility manager (mansfield)64563815485570121

Craigslist

laboratory/facility manager (mansfield)

Overview: Growing life science incubator space in Mansfield, MA looking for Lab and Operations Manager to oversee laboratory and incubator space. Flexible schedule generally during business hours, minimum 2 days a week, but potential for greater hours depending on availability Responsibilities include maintaining safety and functionality of laboratory space, including but not limited to monitoring laboratory equipment, performing regular preventative maintenance and repairs as needed, tracking and managing inventory of consumables. Responsibilities: ● Maintain a safe and functional laboratory space including work with internal and external safety and operations groups ● Manage space use and proactively work with lab users and other stakeholders to ensure needs are understood and expectations managed ● Collaborates regularly with lab users and management to identify and address any workflow bottlenecks, inefficiencies, and/or opportunities for process, logistical, or administrative improvements in the lab ● Manage storage and inventory of internally made materials and stocks ● Manage orders of capital equipment and work with vendors and users to install and train ● Monitor preventative maintenance of equipment ● Maintain and repair equipment directly and by coordinating with service vendors Qualifications: ● 1+ years experience working in a life science field in research laboratory setting ● Experience troubleshooting and maintaining laboratory equipment ● A proactive approach to problem solving, good judgment, and the ability to work independently ● Strong organizational skills and attention to detail ● Flexibility and willingness to try and adapt new things

87 Union St, Mansfield, MA 02048, USA

Negotiable Salary

Technical Specialist - Biomedical64524191584001122

Craigslist

Technical Specialist - Biomedical

Caldwell Law of Boston seeks FT Technical Specialist - Biomedical 1) Review technical inventions for preparation of patent applications; 2) Draft patent applications related to biomedical devices and biotechnology; 3) Participate in invention harvesting meetings for preparation of patent applications; 4) Communicate with early-stage technology companies to develop strategic IP to accomplish their business objectives; 5) Educate and train new and peer technical specialists, where appropriate, on the intricacies of patent applications, especially in the field of biomedicine, biomedical engineering, and biotechnology. BS in Biomedical Engineering and experience formulating biomedical engineering (BME) program reports required.

140 St James Ave, Boston, MA 02116, USA

$86,300/year

Workable

qLDPC Lead, US

Boston, MA, US | Full-time | Permanent | Hybrid  Salary: $158k - $200k | DOE  + bonus plan + equity  The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. About us  Riverlane’s mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world’s most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It’s a complex problem that requires a range of skills, talent and passion. We recently raised $75M in Series C funding to accelerate our cutting-edge R&D in quantum error correction (QEC), and are partnering with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.    About the role  This is a unique opportunity to play a critical role in driving Riverlane’s qLDPC research in the US. Currently, our team focuses on qLDPC decoder research, and we are expanding into novel qLDPC codes and approaches to logical operations. As qLDPC Lead, you will help shape and guide this expansion - whether through leadership in code development, advancing decoder research, innovating in logical operations, or a combination of these areas. The scope of this role is flexible to match your expertise, while offering the opportunity to influence the full scope of our qLDPC research. Working closely with other quantum science leads at Riverlane, you will identify skills gaps, guide hiring to build a world-class team, and ensure our research aligns with Riverlane’s mission to deliver our Quantum Error Correction Stack.  You will collaborate extensively with our internal teams and world-leading partners, ensuring your contributions have a direct impact on the path to fault-tolerant quantum computing. What you will do  As qLDPC Lead at Riverlane, your work will vary, depending on your specialism, and will include: Setting the technical direction for qLDPC research (covering any combination of code design, decoder development, and/or logical operations), in line with Riverlane’s QEC roadmap and strategic research plan Performing original research in your area(s) of focus e.g. developing new qLDPC codes, designing and optimising decoders, or pioneering logical operation schemes Collaborating with teams across the QEC stack to integrate your work into Riverlane’s end-to-end solutions Publishing high-impact papers and presenting at top international conferences Driving innovations that lead to patents and strengthen Riverlane’s technology portfolio Building strong relationships with external collaborators and partners Acting as a scientific mentor and reviewer for colleagues’ work Requirements What we need  PhD in Mathematics, Physics, Computer Science, or a related technical field (or equivalent professional experience)  Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences in a clear, and simple way  Substantial relevant industry or postdoctoral experience in quantum computing  Deep expertise in high-rate qLDPC codes and/or decoders, evidenced by a strong research track record in this area  Experience of leading scientific projects, involving multiple people  Proven ability to undertake high-quality work, reflected by its impact on the broader community    Even better if you have  Extensive technical experience and leadership in quantum error correction  Substantial experience as a line manager or team lead  Substantial experience as a hiring manager  Knowledge of Python and/or C++  Familiarity with hardware, such as FPGAs or ASICs  A track record of winning contracts or grants  Experience leading successful contract or grant proposals as a co-PI  Experience with professional software development practices  Benefits What you can expect from us   A comprehensive benefits package that includes an annual bonus scheme, private health insurance, life insurance and a contributory retirement fund  Equity, so that our team can share in the long-term success of Riverlane   Generous annual leave, and enhanced family leave   A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities    A learning environment that encourages individual, team and company growth and learning, including training and conference budgets     How to apply  Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.    We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.     If you have any queries, please contact jobs@riverlane.com.    Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.   Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help. 

Boston, MA, USA

$158,000-200,000/year

Scientific Business Analyst- Boston or Bay Area63846020162051124

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

Negotiable Salary

Scientific Business Analyst, Scientific AI- Boston63845353210113125

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

Negotiable Salary

Scientific Data Architect - Boston63393512065539126

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

Negotiable Salary

Senior Software Engineer, Modeling & Simulation63499795996289127

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

Negotiable Salary