Cambridge, Massachusetts, United States · Hybrid
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise…
Skills: Software engineering, Generative AI, Data science, Machine learning, Natural language processing
Cambridge, Massachusetts, United States · On-site
$25/hr–$45/hr
Who We Are Flagship Pioneering is a biotechnology company that invents and builds platform companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemb…
Skills: Python, Machine learning, Agentic AI, Software development, API integration
Cambridge, Massachusetts, United States · On-site
$179k–$237k/yr
COMPANY DESCRIPTION Extuitive is a Flagship Pioneering–backed startup reimagining product innovation for the AI era. Our mission is to revolutionize go to market for planning and execution for the agentic age. Based in C…
Skills: Python, SQL, Machine learning, Statistics, Experimental design
Cambridge, Massachusetts, United States · On-site
$100k–$180k/yr
Help Expand What We Can See in Biology At Flagship Pioneering, we build companies around bold scientific ideas. Flagship Labs is our innovation foundry where teams originate, test, and scale breakthrough technologies tha…
Skills: Optical microscopy, Vibrational spectroscopy, Raman microscopy, IR spectroscopy, Instrumentation
Cambridge, Massachusetts, United States · On-site
$176k–$346k/yr
About Flagship Pioneering Flagship Pioneering invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow th…
Skills: Life sciences transactions, Licensing agreements, Collaboration agreements, Mergers and acquisitions, Joint ventures
Cambridge, Massachusetts, United States · On-site
$108k–$149k/yr
Flagship Pioneering is a scientific innovation engine that invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capita…
Skills: Visual design, Presentation design, Visual storytelling, Brand systems, Adobe Creative Suite
Cambridge, Massachusetts, United States · On-site
$132k–$259k/yr
What if… you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? COMPANY DESCRIPTION Expediti…
Skills: Machine Learning, Quantum Chemistry, Generative Molecular Design, Python, PyTorch
Cambridge, Massachusetts, United States · On-site
$179k–$236k/yr
About Pioneering Intelligence Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to ac…
Skills: Mechanistic Modeling, Quantitative Analysis, Python, Numerical ODE Integration, Translational Prediction
Cambridge, Massachusetts, United States · Hybrid
$193k–$290k/yr
Overview Alnylam Pharmaceuticals is seeking a highly technical and strategic Director of Artificial Intelligence to lead the expansion of AI capabilities across the Research organization. This role will establish and lea…
Skills: Artificial Intelligence, Computational Biology, Agentic AI, Machine Learning, Python
Cambridge, Massachusetts, United States · Hybrid
$157k–$212k/yr
Overview The Associate Director, Nonclinical Writing Innovation, will lead the strategy and adoption of AI-enabled capabilities across nonclinical workflows. This high-visibility role will translate organizational priori…
Skills: AI strategy, Nonclinical writing, Regulatory documentation, Data integrity, AI tool automation
Cambridge, Massachusetts, United States · Hybrid
$25/hr–$40/hr
Experimental Systems Intern Location: Cambridge, MA Time commitment: Part-time, approximately 25–30 hours per week; schedule must include multiple in-person laboratory days Duration: 3–6 months, with the potential to tra…
Skills: Analytical chemistry, Experimental design, Laboratory safety, Data acquisition, Hardware testing
Cambridge, Massachusetts, United States · Hybrid
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise…
Skills: Sponsored Award Management, Regulatory Interpretation, Risk Mitigation, Compliance, Data Integrity
Cambridge, Massachusetts, United States · Hybrid
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise…
Skills: Sponsored award management, Financial administration, Compliance, Risk mitigation, Data integrity
Cambridge, Massachusetts, United States · Hybrid
Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise…
Skills: Sponsored Award Management, Regulatory Interpretation, Risk Mitigation, Compliance, Data Integrity
Cambridge, Massachusetts, United States · On-site
$176k–$304k/yr
Your Impact at LILA Your role will involve applying computational methods and AI to accelerate the discovery and design of organic electronics materials. You will use first-principles modeling, atomistic simulations, sci…
Skills: Computational materials science, Organic electronics, Python, Scientific machine learning, Atomistic simulations
Cambridge, Massachusetts, United States · On-site
$68k–$101k/yr
Your Impact at LILA We are seeking a motivated and detail-oriented Associate Engineer / Engineer I to join our high-throughput Research Operations team. In this role, you will focus on hands-on material formulation chara…
Skills: Rheology, Material chemistry, Mechanical testing, Wet-lab, Formulation
Cambridge, Massachusetts, United States · On-site
Your Impact at LILA Maintenance Engineering Technicians are the backbone of instrument uptime at Lila. You will execute preventive maintenance schedules, perform first-response troubleshooting, maintain calibration and q…
Skills: Preventive maintenance, Troubleshooting, Calibration, CMMS, Fluidics
Cambridge, Massachusetts, United States · On-site
$176k–$304k/yr
Your Impact at LILA We are seeking a computational materials scientist to discover and optimize materials for electro-optic and photonic technologies. The role centers on understanding how composition, structure, defects…
Skills: Computational materials science, Density functional theory, Electronic-structure calculations, Python, HPC
Cambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila is looking for a hands-on Site Services Coordinator to support day-to-day operations at the 10 Wilson site. This role keeps the workplace running smoothly by managing incoming and outgoing packag…
Skills: Office operations, Facilities management, Site services, Lab operations, Inventory management
San Francisco, California, United States · On-site
$204k–$310k/yr
Your Impact at LILA You'll own two connected but distinct areas. First, you'll decide which new scientific domain capabilities the Lila model should gain and how to build them — the right mix of reinforcement-learning en…
Skills: Product management, Machine learning, Artificial intelligence, LLM training, Fine-tuning
Cambridge, Massachusetts, United States • Hybrid
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The Senior Software Engineer will design and develop complex software systems for large-scale research projects, focusing on generative AI, education technology, and public policy tools. They will collaborate with researchers to deploy high-performance systems and contribute to academic publications and technical reports.
Candidates must have at least five years of post-secondary education or relevant work experience, with a strong background in computer science, data science, or related fields. Proficiency in generative AI pipelines, cloud deployment, and full-stack development is highly preferred.
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools at the university. Harvard Kennedy School’s mission is to improve public policy and leadership so people can live in societies that are more safe, free, just, and sustainably prosperous. By combining cutting-edge research, the teaching of outstanding students, and direct interaction with practitioners, we have an impact on solving public problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference.
The Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School (HKS) is seeking a Senior Software Engineer with specialized expertise in software development, generative AI, and data science. This position is housed within the Shorenstein Center on Media, Politics and Public Policy. Through teaching and research at the Harvard Kennedy School and its program of visiting fellows, conferences and initiatives, the Center is at the forefront of its area of inquiry.
Job-Specific Responsibilities:
Core responsibilities encompass specialized tasks including:
Projects you will work on include, but are not limited to:
AI in Education: We are designing and testing AI-powered technologies that go beyond generic tools like ChatGPT to provide tailored support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment across universities and community colleges nationwide. In addition, we are piloting innovations such as virtual lectures, personalized student diagnostics, and teacher co-pilot tools. This role will help design, implement, and scale these technologies so they can be rigorously tested and used in real classroom settings.
AI in Public Policy: We are engineering AI systems that improve public service delivery and decision-making. Examples include tools that assist county prosecutors in making unbiased charging decisions, help public defender clients to avoid jail time due to missed court dates, and support adjudicators as they process unemployment insurance claims. In this role, you will work on building robust, production-quality systems that can be deployed in high-stakes government environments where reliability, fairness, and performance are critical.
Additional Qualifications and Skills:
Applications must include the following, or they will be considered incomplete:
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
This is the official LinkedIn page for the Division of Medical Sciences at Harvard Medical School. The Division of Medical Sciences (DMS) at Harvard Medical School with the Faculty of Arts and Sciences of Harvard University offers six interdisciplinary programs leading to the PhD degree in the biomedical sciences: 1) Bioinformatics and Integrative Genomics (BIG) 2) Biological and Biomedical Sciences (BBS) 3) Immunology 4) Neuroscience 5) Speech and Hearing Bioscience and Technology (SHBT) 6) Virology These six programs share a common purpose: to foster a stimulating and supportive environment for research training in the biomedical science
View all jobs at Harvard Division of Medical SciencesBased on 1041 listings with disclosed salaries, most science & research jobs in Cambridge, MA pay between $94k–$270k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,266 open science & research positions in Cambridge, MA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Novartis, Draper, Sanofi, Harvard Division of Medical Sciences, Flagship Pioneering, among others. Browse the listings above to see every active employer.
Yes — 499 of the 1266 open science & research positions offer remote or hybrid work (57 remote, 442 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
