Research internship jobs in Woonsocket, RI - 847 jobs

Hours: The schedule will be 9am-5pm Mon-Fri onsite. 1 year contract Hourly Pay Rate: $31-34/hr (individual medical benefits available at a cost) We are seeking a dedicated Research Analyst I specializing in separation-based assays to join our innovative research team. This role involves designing, executing, and analyzing experiments focused on separation techniques used in biological and chemical research. The ideal candidate will contribute to advancing our understanding of complex biological systems through precise assay development and data interpretation. This position offers an exciting opportunity to work at the forefront of scientific discovery, supporting projects that have significant implications for health, technology, and fundamental science. The Research Analyst independently generates precise, reliable and reproducible data in a timely manner. Demonstrate experimental precision and strong data interpretation skills and should possess understanding of core discipline. Responsibilities: Perform routine tasks independently and generate reliable and consistent results. Analyze and critique results, noting significant deviations. Troubleshoot experiments and instrumentation. Learn and understand new experimental techniques. Demonstrate skill in multiple techniques and appropriately modify protocols, as required, to suit the changing needs of research programs. Present interpreted results and updates internally in a timely and professional manner Place data in proper scientific context by consulting and citing relevant literature. Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, and GxP compliance. Qualifications: Bachelor's or Master's Degree in Biochemistry/Biophysics, Chemistry, or equivalent, with typically 3 years' experience Theoretical and practical knowledge to carry out method development and qualification. Experience in separation-based assays including but not limited to UPLC/HPLC based methods, capillary electrophoresis (CE), and imaged capillary isoelectric focusing (ic IEF) Our role in supporting diversity and inclusion As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. Bioelectronic Platforms Research Intern The Deep Tech Solutions (DTS) group seeking a motivated, experienced Bioelectronic Platforms Research Intern to support our Innovation Center and Corporate Incubation Labs (Analog Garage) located at ADI's Boston office. The Analog Garage mission is to empower ADI by pioneering breakthrough technologies. The DTS group is applying world-class circuit and device design, and nano-scale fabrication to develop long-term solutions to big societal problems. You will join the team which is leveraging proven and mature semiconductor technologies to solve challenging problems in biology and human health. Responsibilities include, but are not limited to: * Model and develop constraints for integrated circuit systems based on research and experimental results. * Develop blocks for integrated circuits and evaluate them with simulations using industry standard IC Design tools. * Present findings of your research and proposed solution to DTS leadership team. * Support our test and lab staff with evaluation of new devices developed by the team. Minimum qualifications * Master's or PhD candidate in Electrical engineering. * Mixed-signal IC design and simulation experience. * Previous experience working with test and lab equipment for evaluation of IC devices. * Strong hands-on technical skills. * A strong background in academic or industry research. Preferred qualifications (CMOS Design Oriented): * Background in CMOS design for biological systems, MEMS, optics or photonics would be considered an asset. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group . For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/Cooperative Required Travel: No The expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * Experience with Python, C++, C, Java or other related languages * Experience with deep learning frameworks such as Pytorch or Tensorflow Preferred Qualifications * Intent to return to degree program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar * Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches * Experience building large-scale machine learning systems and training with large datasets * Experience communicating complex research in a clear, precise, and actionable manner * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) * Experience working and communicating cross functionally in a team environment Responsibilities * Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques * Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy * Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence * Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results * Publish research results and contribute to research that can be applied to Meta product development About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Team TRI's Optimization team applies mathematical optimization techniques to enhance all aspects of Toyota's business. Our current topics include mixed-integer optimization for factory logistics, diffusion models for engineering design, and the interplay between continuous optimization and Generative AI. About the Internship We are looking for a motivated intern to pursue new avenues of research consistent with the team's mission. This is an opportunity to apply your knowledge to novel research questions and work towards a publication with professional researchers. The internship will be in our Cambridge office and includes competitive compensation befitting the challenging, but fun, nature of the research work at TRI. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.Responsibilities Define project scope and agree on project direction with your mentor. Undertake a well-scoped research project in a relevant area and bring it to publication in an appropriate venue. Have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment. Work and collaborate with other stakeholders and HID team members. Qualifications Current Ph.D. student in related fields - ML/AI, optimization, computer science, applied mathematics, or similar. Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR, SIOPT, Math Programming). Proficient at Linux, PyTorch. Experience with distributed computing (e.g. AWS) a plus. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Catherine Othieno Sempa Memorial Post Baccalaureate Scholars Program engages talented college graduates from HBCUs and Puerto Rican universities in a comprehensive and immersive two-year program in immunology research. The program is designed to strengthen the field of academic research by inviting recent college graduates to gain knowledge, expertise, and skills inside and outside the lab. Program Benefits Participants will be employed as a paid, full-time Research Technicians under the supervision and mentorship of a Ragon Institute Principal Investigator and/or designated Post-Doctoral Research Fellow. Participants will receive a competitive salary and benefits consistent with employment as a Research Technician at the Institute. In addition, participants will engage in academic and professional development activities including: • Development of an individualized training plan • Training in scientific communication • Participation in seminars and workshops • Full participation in lab meetings and Ragon affinity groups and committee • Graduate school preparation • Travel sponsorship to a national conference • Participants will also receive a $3,000 travel allowance. Job Summary Responsible for maintaining laboratory equipment, organizing and preparing samples, conducting experiments, and recording and analyzing data. Candidates who are in the process of completing their bachelor's degree have a grace period of six months from their hire date (up to 1 year if starting per diem) to provide degree equivalency verification. Does this position require Patient Care? No Essential Functions -Perform laboratory experiments following established protocols and procedures. -Prepare and handle samples, reagents, and solutions, ensuring accuracy and adherence to safety guidelines. -Operate and maintain laboratory equipment and instruments, conducting routine calibration and troubleshooting as needed. -Record experimental data accurately and maintain organized records of procedures, protocols, and results. -Compile and analyze data using appropriate statistical and analytical methods. -Assist in data interpretation and presentation, contributing to research findings and reports. Qualifications Education Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Licenses and Credentials Experience Prior laboratory experience, either through academic coursework, internships, or employment 1-2 years preferred Knowledge, Skills and Abilities - Strong theoretical and practical knowledge of laboratory techniques and procedures. - Familiarity with common laboratory equipment and instruments used in research experiments. - Proficiency in data collection, analysis, and scientific software tools. - Excellent attention to detail, organizational skills, and the ability to multitask and prioritize tasks effectively. - Strong problem-solving skills and the ability to troubleshoot technical issues. - Excellent written and verbal communication skills to effectively convey experimental procedures, results, and challenges. Additional Job Details (if applicable) Program Eligibility Have U.S. citizenship or permanent residency and be eligible to work in the US. Completed a college or university degree (of four or more years duration) no more than one year before the start of the program. Majored in biological sciences or biological engineering. Attained a minimum GPA of 3.3 on a 4.0 scale. Previously participated in scientific research. Demonstrated interest in pursuing a graduate degree in a research field (M.S., M.A, Ph.D. or M.D./Ph.D.). This program is not designed for students primarily interested in clinical practice This program is open to individuals from Minority Serving Institutions (MSIs), Historically Black Colleges and Universities (HBCUs) and students from the University of Puerto Rico. Important Dates: Application deadline: February 15, 2026 Start date: June-August 2025 Remote Type Onsite Work Location 600 Main Street Pay Range $19.76 - $28.44/Hourly Grade 5 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Quantitative Research Intern - Chicago, New YorkAt BAM, our Researchers collaborate across all asset classes, delivering a wide range of quantitative practices from risk management, big data analysis, AI, LLM, and more. The models built by our QR team power our quantitative strategies and enhance our investment process. As a QR Intern, you will go through a hands-on 10-week program designed to take your research abilities to the next level. You will have the opportunity to solve complex, real-world problems and make an impact by enhancing our investment and trading frameworks and strategies. Our program offers mentorship and collaboration with senior members of the team in addition to the opportunity to expand your network with the greater intern cohort. QR interns will be hired into our Systematic, Multi-Asset Arbitrage, Risk and Portfolio Construction teams. Overview of QR Research Internship Opportunities at BAM:Systematic Research interns are tasked with analyzing textual data using advanced NLP models to develop actionable trading signals. Multi Asset Arbitrage Research interns are tasked with building, supporting, and integrating globally accessible quant trading infrastructure and interacting with Portfolio Managers and Quant Researchers to build requisite toolkits Alpha Capture Research interns are tasked with developing alphas utilizing LLM and machine learning methods to enhance our trading strategies within a L/S Equity investment team. Quant Risk Management interns are tasked with working alongside Sr. Researchers and Risk Managers to improve framework models and conduct research analysis of the investment process to deliver insights related to portfolio construction and risk exposures. Portfolio Construction Research interns are tasked with conducting factor model research and building tools that are essential to equity factor that are used throughout the firm. Qualifications:· Masters or PhD student graduating between December 2026 or May 2027 that is pursuing a degree in Mathematics, Statistics, Computer Science, or related quantitative field. Exceptional Bachelors students with interdisciplinary backgrounds will also be considered. · Strong knowledge of probability and stats (ML/NLP)· Familiarity with language models such as BERT, GPT, and XLNet, and NLP related publications is a plus· Programming proficiency in python· Experience working with large, complex datasets and building predictive models· Prior independent research experience in a data-driven environment· Outstanding analytics skills and attention to detail· Ability to clearly communicate complex and technical subject matters· Pragmatic and have a can-do attitude in approaching real-world investment problems· Results driven mindset, ability to work in an ambiguous environment, and work collaboratively within a team environment Opportunities are available in our Chicago and New York

Dive Into Health Innovation: Outcomes Research Summer Internship Are you curious about the stories data can tell and passionate about making a real impact in healthcare? Join our Outcomes Research team at Hologic, where scientists and strategists work together to pave the way for new products that help people live healthier lives. As our Summer Intern, you'll get hands-on with meaningful projects, learn from experts, and help shape the future of women's health-all while building skills that will last a lifetime. What you'll be up to during your 10-12 week adventure: Analyze scientific datasets, including medical insurance claims data (think detective work, but with spreadsheets). Review insurance payer policies to spot gaps in clinical and economic evidence. Help develop health economic models that influence real-world healthcare decisions. Conduct scientific literature reviews to support our projects. Learn the ins and outs of the U.S. reimbursement environment and how it impacts patient care. Who we're hoping to meet: You can work full-time during the summer (May/June - August/September). You're currently working on your Master's degree, with at least one semester left after the internship. Your major is in epidemiology, public health, medical sciences, biostatistics, or something similar. You know how to get your point across, whether you're writing or speaking. You're comfortable with MS Office (Excel, Word, PowerPoint) and not afraid to use them. You're curious, resourceful, and love solving puzzles (especially the data kind). You're excited to work with a team that's all about collaboration and innovation. Location, pay & other important details: You can work onsite at our Marlborough, MA campus. Heads up: intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. Pay range: $35 per hour, based on your class standing and operational function. The chance to work with a team that's genuinely invested in your growth. Networking, mentorship, and skill-building opportunities-all designed to help you thrive. Take your internship to the next level at Hologic! When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. #LI-EK1

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $120 billion on behalf of leading institutions worldwide-including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches. What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose: delivering effective client outcomes and supporting one another in work that's both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture-all designed to support the meaningful, collaborative work that defines Acadian. Position Overview: We are seeking several exceptionally talented and motivated individuals for the position of Quant Research Intern. Interns will have the opportunity to work with senior researchers and portfolio managers. This is a hands-on opportunity for individuals to gain experience at a top-tier quantitative investment management firm. Successful candidates will apply their skills in a dynamic work environment to support the development of sophisticated investment models. Acadian supports a hybrid work environment; Interns will be expected on-site in the Boston office a minimum of 3 days a week. What You'll Do: Conduct ground-breaking research to generate enhancements to Acadian's systematic equity models, portfolios, and trading practices. Assist with portfolio oversight across different strategies, including risk management and attribution. Explore new datasets, apply sophisticated statistical techniques, and write code to develop signals for predicting equity returns. We're Looking for Teammates With: Progress towards a Bachelor's, Master's, or PhD degree in finance, math, computer science or other analytical discipline required Programming experience required; working knowledge of Python and SQL preferred Strong statistics and data management skills and a willingness to independently dissect, evaluate, and interpret results Ability to translate qualitative intuition and insights into testable hypotheses Motivation to learn quickly and formulate ideas independently Superior written and verbal communication skills Ability to work autonomously and in collaboration with other interns and investment professionals To apply for this position or view Acadian's open roles, please visit the Careers section of our website at: ******************************************************* We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at ****************************. Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

, Inc. QuEra Computing is building the world's most powerful neutral-atom quantum computers. Our systems are designed to scale and enable groundbreaking advances in science and technology. We collaborate closely with leading academic and industry partners to push the boundaries of quantum computing, error correction, and fault tolerance. Summary QuEra Computing Inc. seeks a Quantum Error Correction (QEC) Research Intern to join our growing team of scientists and engineers developing hardware-efficient and scalable quantum error correction schemes. As an intern, you will work alongside experts in theoretical and experimental quantum information to help design, simulate, and analyze error correction strategies for our neutral-atom quantum computing platform. This role offers an exceptional opportunity to gain hands-on experience at the intersection of theory and hardware, contributing directly to the development of large-scale fault-tolerant quantum computation. Possible internship projects include development of novel logical gate schemes with low overhead, improved decoding methods, and implementation of QEC protocols on state-of-the-art quantum hardware. Applications will be reviewed on a rolling basis, and those received before Dec. 15, 2025 are guaranteed full consideration. Qualifications Solid background in quantum computing and quantum error correction Strong communication skills and enthusiasm for cross-disciplinary collaboration Preferred Qualifications Currently enrolled in or have completed a Ph.D. program in Physics, Computer Science, or a related field Strong programming skills and experience with numerical simulation tools (e.g., Stim, decoders, or other custom code) Familiarity with experimental or hardware-informed QEC implementations Why Join QuEra? You will be part of a collaborative, fast-moving team at the forefront of quantum technology. This internship offers exposure to both cutting-edge theory and practical implementation, with opportunities to contribute to peer-reviewed research and real-world quantum hardware development. On-site internship. There is no relocation offered for this role. QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Your Impact at Lila Join our physical sciences team to apply advanced machine learning to real problems in materials, chemistry, and physics. You'll build models on real-world datasets generated by Lila's laboratories, create and contribute to state-of-the-art workflows, and present crisp results that inform next steps. Example subtopics you may touch include: Bayesian optimization, representation learning, generative models, and scientific reasoning. What You'll Be Building Develop, evaluate, and ship ML models; run baselines and ablations; report clear, decision‑oriented results. Build clean, reproducible data/model pipelines (Python, PyTorch; tracking and docs). Collaborate with experimentalists, domain scientists, and engineers to turn open‑ended questions into testable milestones, working directly with real‑world data and feedback loops from Lila's laboratories. What You'll Need to Succeed Currently enrolled in an MS or PhD program in CS, Materials Science, Chemistry, Chemical Engineering, Physics, or a related field (exceptional BS candidates with research experience considered). Proficiency in Python, deep learning frameworks and end-to-end workflow deployment. Evidence of applied ML research work in physical sciences including method development, model training and evaluation, and sound code practices. Strong communication and presentation skills, capable of conveying technical information in a clear and thorough manner. Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For Experience in advanced machine learning methods related to: Bayesian optimization/active learning, representation learning/GNNs, generative models, scientific reasoning model, uncertainty & reliability, or multimodal data. Understanding of experimental materials science techniques related to synthesis and characterization. About Lila Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at *********** If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, we encourage you to apply. We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

The CompanyTutor Intelligence is building the technology and processes to let robots go where they've never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes , and we're combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. The RoleTutor Intelligence is using AI to learn from a large fleet of robots to do useful work factories. As a research intern, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field. This is a unique opportunity to see your work at scale in a fast-paced research organization developing and deploying novel robot learning algorithms on real hardware at massive scale. At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development. We're looking for interns who can start in December 2025/January 2026 and join us for ~4 months to do substantial, impactful work.Requirements Exceptionally strong programming skills You should have significant research experience, including first author publications at top-tier peer-reviewed conferences (e.g., ICRA) Natural collaborator, excited to work closely with a team of researchers and engineers Research experience, practiced at solving open-ended problems Excited to reshape the physical economy by filling factories with intelligent robots Not afraid to step foot in a factory or a warehouse Nice to haves (zero or more) Experience training and improving AI models, especially models used in robotics (e.g., diffusion policy) Advanced proficiency with Python Experience with robot arms / manipulation Experience with motion planning and robot optimization Experience with perception or computer vision (deep or classical) Experience with infra and devtools (systemd, Docker, Kubernetes)

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Summary: Department based internship. Incumbent receives academic credit in accordance with school and internship guidelines. Internship provides hands-on learning experience. Does this position require Patient Care? No Essential Functions: * Drafting written materials including IRB submissions and participant recruitment materials. * Conducting interviews. * Qualitative data analysis (e.g. coding). * Conducting literature review. * Writing research abstracts and manuscripts. Qualifications Education High School Diploma or Equivalent required. Additional education preferred. Experience No experience required, but prior experiences as a Research Assistant would be preferred. Knowledge, Skills and Abilities * Must be reliable and punctual. * Good time management skills. * Strong oral communication skills. * Strong written communication skills. * Ability to take and follow direction. * Willingness to learn. * Responsive to feedback and seeks guidance. Additional Job Details (if applicable) The ideal candidate would have an interest in and experience with medical education research. In particular, we seek a research assistant with experience in conducting qualitative research. Skills include drafting an IRB, drafting recruitment materials, developing an interview guide, interviewing participants, and using qualitative software to conduct code analysis. There will also be an opportunity to contribute to manuscript writing and dissemination of research in the form of abstracts and oral presentations. Experience with research in artificial intelligence in education is favorable but not required for this role. Remote Type Remote Work Location 60 Fenwood Road Scheduled Weekly Hours 0 Employee Type Per Diem Work Shift Day (United States of America) Pay Range $17.36 - $23.80/Hourly Grade 2 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

The Advancement Research intern will support the Development Research Team in providing high-quality and timely information and data analysis to City Year Headquarters Development and to fundraising staff across twenty-three locations. The intern will support the Development Research Team in researching and qualifying current and potential donors to City Year Headquarters and sites by producing comprehensive reports and/or basic assessments for private sector funders using online, internal and print sources. Conduct independent research to identify new prospective donors for City Year Headquarters and its twenty-three locations. Collaborate with development staff regularly to assist in prospect identification, qualification and strategy. Contribute information to and assist in maintaining confidential donor database. Responsibilities: The Advancement Research Intern will contribute to the development team's success by: Working independently to identify new individual prospects Identify new prospects for sites and HQ using available public sources and the paid research database, WealthEngine Working independently to provide timely research on current and prospective individual, corporate and foundation donors Complete requests for comprehensive research profiles within 2 weeks of date requested Complete requests for basic assessments (basic profiles) within 1 week of date requested Complete requests for a tailored and specific information search within 1 week of data requested Complete 50 basic assessments on current and prospective donors for Headquarters Working with the Development Research Team with data-entry and quality management of the fundraising database Qualifications: Open-Source Intelligence Research Skills Demonstrated ability to utilize open-source, publicly available information and data. Strong sense of ethics and donor privacy protection. Resourceful in collecting disparate pieces of information and using that information to create a holistic picture of the subject matter. Project Management and Organizational Skills Demonstrated ability to manage multiple research projects and meet deadlines. Flexible, persistent and resilient to changing priorities; able to prioritize and take initiative in fast-paced, changing environment. Organized with attention to detail. Systems-thinker. Tech Savvy Ability to utilize various technology, databases and applications. Pro-active attitude towards learning new technology and using technology to optimize work. Excellent Communication Skills Ability to manage relationships with diverse development staff. Strong presentation and liaison skills are required. Demonstrated tact and diplomacy in difficult or sensitive situations. Strong written and oral communication skills. Experience working in an entrepreneurial, dynamic organization; enthusiastic with sense of humor. Commitment to Team Able to work well towards independent goals and as a part of a diverse cross-functional team. Comfortable giving and receiving feedback. Collaborative work style; teamwork orientation; ability and willingness to serve on or lead a team. As needed, contribute to and participate in general City Year activities and events including City Year's annual staff training (Summer Academy). Passion for our Work Consistently and effectively model the values of City Year culture. Passion and career interest in national service and social entrepreneurship. Understanding and appreciation of City Year's mission, values and culture

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data. At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company-one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes-along with numerous regional recognitions across our 11 offices nationwide. If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions. Responsibilities * Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports). * Assist in building dashboards and reports for project performance, cost tracking, and risk management. * Perform data analysis to identify trends, anomalies, and actionable insights. * Support the development of predictive models for project timelines and resource allocation. * Collaborate with project managers and operations teams to ensure data accuracy and usability. * Document processes and create user-friendly guides for data tools and dashboards. Qualifications * Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field. * Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus. * Basic knowledge of SQL and data querying. * Understanding of data cleaning and transformation techniques. * Excellent analytical and problem-solving skills. * Strong communication skills and ability to work in a team environment. Preferred Skills * Exposure to construction or project management data is a plus. * Experience with Python or R for data analysis. * Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.). EEO Information Shawmut prohibits discrimination against any staff member or applicant on the basis of race, color, sex, sexual orientation, gender identity/expression, age, religion, national origin, marital status, veteran status, pregnancy, physical or mental disability, genetic information, disability, creed, citizenship status, or any other legally protected characteristic. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to offer sponsorship. Salary Range Information Boston Base Salary Range: $22/hour - $25/hour. The range stated is specific to Boston. Placement within the listed range depends on many factors, including, but not limited to, years of experience, project size capability (for Construction & Field roles), and internal company equity.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data. At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company-one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes-along with numerous regional recognitions across our 11 offices nationwide. If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions. Responsibilities Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports). Assist in building dashboards and reports for project performance, cost tracking, and risk management. Perform data analysis to identify trends, anomalies, and actionable insights. Support the development of predictive models for project timelines and resource allocation. Collaborate with project managers and operations teams to ensure data accuracy and usability. Document processes and create user-friendly guides for data tools and dashboards. Qualifications Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field. Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus. Basic knowledge of SQL and data querying. Understanding of data cleaning and transformation techniques. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a team environment. Preferred Skills Exposure to construction or project management data is a plus. Experience with Python or R for data analysis. Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.). EEO Information Shawmut prohibits discrimination against any staff member or applicant on the basis of race, color, sex, sexual orientation, gender identity/expression, age, religion, national origin, marital status, veteran status, pregnancy, physical or mental disability, genetic information, disability, creed, citizenship status, or any other legally protected characteristic. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to offer sponsorship. Salary Range Information Boston Base Salary Range: $22/hour - $25/hour. The range stated is specific to Boston. Placement within the listed range depends on many factors, including, but not limited to, years of experience, project size capability (for Construction & Field roles), and internal company equity.

About ConnectPrep: Our goal is to redefine “tutoring” - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future. The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics. Requirements What we are looking for: Core skills You enjoy creative problem solving and working with messy, real-world data. You have strong math/quantitative skills and excellent attention to detail. You are curious about how data can improve learning and student outcomes. Academic & technical background You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field. You have some coding experience and a strong interest in technology and AI. You have experience with at least one of the following: SQL, Python data tools (Pandas, NumPy, or similar) Building simple data pipelines or analysis scripts in Python Excel & analysis skills You are comfortable doing serious work in Excel, including several of the following: Advanced formulas and functions Tables and formatting Conditional formatting Advanced charting and visualizations Pivot tables and pivot reporting Using Excel productively for analysis, not just basic spreadsheets Data tables, simulations, and Solver (Bonus) VBA and macros AI, data, and analytics work you will support Work with AI tools and workflows to support data-driven decision-making Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms) Support projects involving AI and chatbot development for ConnectPrep's programs and website Conduct SEO and keyword research to identify growth opportunities and track performance Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports Assist with data analysis for marketing campaigns, content performance, and business operations Help test, document, and iterate on new data and AI workflows as they are developed Nice to have Prior internship or project experience in data analysis, business intelligence, or marketing analytics Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms) Experience visualizing data in tools such as Tableau, Power BI, or Data Studio Experience working with SEO tools or keyword platforms Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards) Benefits Why join ConnectPrep? Get in on the ground floor of an exciting new company, with the potential to help shape our direction Be involved with a team that has bold ideas, with the goal of reinventing education across the globe Gain valuable experience, meet technology innovators, and learn about the business side of our company Sound Interesting? Please submit your resume and letter of interest at ***********************. All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally? Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at ************** and on LinkedIn and Twitter (X). At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network. ADI's culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees. At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles. Apply now for the opportunity to grow your career and help innovate ahead of what's possible. As a Data Engineering Intern you'll work closely with the data engineering and analytics teams to gain hands-on experience in building and maintaining data infrastructure while developing predictive models for operational insights. This role offers exposure to data pipeline development, database management, and advanced analytics techniques, including AI/ML. You will collaborate with engineers across the organization on data gathering, curation, analysis, and validation to support scalable solutions. Key Responsibilities Assist in designing and developing ETL pipelines for data extraction, transformation, and loading. Work with data warehousing solutions such as Redshift or Snowflake. Develop and deploy predictive models for operational efficiency using statistical and machine learning techniques. Write and modify scripts in Python or R for data manipulation and analysis. Collaborate with cross-functional teams to understand data infrastructure needs and best practices. Ensure data integrity, accuracy, and consistency across all processes. Preferred Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Proven academic or project experience in data analysis and modeling. Skills & Qualifications Basic knowledge of SQL and relational/non-relational databases. Familiarity with scripting languages (Python or R); exposure to JavaScript, Apache Spark, and MongoDB is a plus. Strong foundation in statistics and predictive modeling; AI/ML exposure preferred. Interest in ETL processes, scalable data pipelines, and data architecture. Excellent attention to detail and communication skills For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Internship/CooperativeRequired Travel: NoThe expected wage range for a new hire into this position is $22 to $41. Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

Marlborough, MA, United States **Dive Into Health Innovation: Outcomes Research Summer Internship** Are you curious about the stories data can tell and passionate about making a real impact in healthcare? Join our Outcomes Research team at Hologic, where scientists and strategists work together to pave the way for new products that help people live healthier lives. As our Summer Intern, you'll get hands-on with meaningful projects, learn from experts, and help shape the future of women's health-all while building skills that will last a lifetime. **What you'll be up to during your 10-12 week adventure:** + Analyze scientific datasets, including medical insurance claims data (think detective work, but with spreadsheets). + Review insurance payer policies to spot gaps in clinical and economic evidence. + Help develop health economic models that influence real-world healthcare decisions. + Conduct scientific literature reviews to support our projects. + Learn the ins and outs of the U.S. reimbursement environment and how it impacts patient care. **Who we're hoping to meet:** + You can work full-time during the summer (May/June - August/September). + You're currently working on your Master's degree, with at least one semester left after the internship. + Your major is in epidemiology, public health, medical sciences, biostatistics, or something similar. + You know how to get your point across, whether you're writing or speaking. + You're comfortable with MS Office (Excel, Word, PowerPoint) and not afraid to use them. + You're curious, resourceful, and love solving puzzles (especially the data kind). + You're excited to work with a team that's all about collaboration and innovation. **Location, pay & other important details:** + You can work **onsite** at our **Marlborough, MA** campus. **Heads up** : intern housing, relocation, and housing stipends aren't provided, so you'll need to have your living situation and transportation sorted out. + Pay range: $35 per hour, based on your class standing and operational function. + The chance to work with a team that's genuinely invested in your growth. + Networking, mentorship, and skill-building opportunities-all designed to help you thrive. **Take your internship to the next level at Hologic!** When you join Hologic as a Summer Intern, you're not just clocking in for a job-you're jumping into a global team full of motivated, creative, and dedicated people (basically, your future favorite coworkers). This is your chance to shine, show off what you know, and bring your energy and ideas to projects that make a real difference for people all over the world. On top of hands-on experience in your field, our College Relations team will hook you up with opportunities to learn about the company, meet leaders, and build the skills you'll need to launch your career. Consider this your backstage pass to the future of healthcare innovation. **Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.** \#LI-EK1