Research internship jobs in Plymouth, MA

Immediate need for a talented Research Associate II .This is a 12+Months contract opportunity with long-term potential and is located in Cambridge, MA(Onsite). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 25-95403 Pay Range: $45-$50 /hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: - Maintenance and preparation of cell cultures, Immunofluorescence staining of samples Global Discovery Pathology is seeking a qualified individual to assist with the execution and analysis of microscopy-based cell, organoid, and tissue assays aimed at understanding therapeutic targeting and mechanism of action. The candidate will work with a cross functional team of imaging scientists, histologists, and pathologists to support a wide range of different therapeutic areas within the research organization. Daily responsibilities will include preparation of common stock solutions, maintenance and preparation of cell cultures, immunofluorescence staining of samples (cultured cells, tissue sections, and 3D samples comprising thick tissue samples or whole organoids), data acquisition using both automated and human-interactive microscopy systems, and organization and analysis of image data. Additional responsibilities involving operation of an automated liquid handling system for sample preparation may also be incorporated depending on the candidate's knowledge, experience, and ability. After initial training to familiarize them with lab-specific processes, the candidate will be expected to conduct their work independently following consultation with more senior lab members with whom they will be working. They will have the opportunity to present their work both within the department and at cross functional project meetings. Key Requirements and Technology Experience: Key Skills; Have 2+ years of laboratory experience Experience with fluorescence microscopy Strong proficiency in confocal microscopy The candidate must possess an M.S. degree in cell and molecular biology or a related field and have 2+ years of laboratory experience. Experience with cell culture, general molecular biology techniques, immunostaining, and basic fluorescence microscopy is required. Experience with complex in vitro models (organoids or lab-on-a-chip systems), advanced microscopy techniques such as confocal and super resolution, and comprehensive image analysis including AI-based approaches will be highly beneficial. The successful candidate will have excellent time management skills, record keeping and communication skills, and a willingness to learn new techniques. Our client is a leading Pharmaceutical and Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

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Daice Labs, founded by MIT CSAIL scientists, builds hybrid frameworks that integrate LLMs/DL with symbolic reasoning and bio-inspired system design to create adaptable AI systems capable of continual learning and explainable decision-making. Daice Labs operates under two main tracks: the Product Lab, which focuses on building a collaboration platform where human teams co-build with hybrid AI, and the AI Research Lab, which uses principles of natural intelligence to guide the design of hybrid AI architectures. We believe the next leap in productivity comes from the collaboration between human teams and specialized AIs working together on shared contexts. Role Description This is a full-time remote Data Analyst Intern role. The intern will be responsible for collecting, analyzing, and interpreting complex data sets to support decision-making processes. Day-to-day tasks include data modeling, utilizing statistical techniques to uncover insights, preparing comprehensive data visualizations, and presenting findings clearly. The intern will also collaborate with cross-functional teams to ensure the alignment of analytical results with organizational goals. Qualifications Proficiency in Analytical Skills and Data Analytics Strong understanding of Statistics and ability to perform data analysis Experience with Data Modeling and working with structured or unstructured data Effective Communication skills to present and explain findings to diverse stakeholders Familiarity with programming languages such as Python, R, or SQL is a plus Strong problem-solving mindset and ability to work independently or collaboratively Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess' patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Role We are seeking a motivated and detail-oriented Research Associate with strong hands-on experience in chromatographic analysis to support QC release and stability testing. The successful candidate will perform routine cGMP QC testing using HPLC methods (RP-HPLC, SEC, IEX), Agilent HPLC systems, and additional supporting assays in a fast-paced, collaborative environment. This is a unique opportunity to be part of an emerging early-phase clinical company bringing innovative technology to the global market. Key Responsibilities Perform routine QC release and stability testing using HPLC methods including RP-HPLC, SEC, and IEX. Prepare samples, operate Agilent HPLC systems, verify system suitability, and ensure analyses meet method and specification requirements. Execute complementary analytical assays such as UV-Vis, pH, surface tension, and mechanical tests. Maintain complete, accurate documentation in compliance with cGMP, ALCOA+, and data integrity requirements. Conduct routine instrument care (solvent flushes, column care, daily checks) and assist troubleshooting under supervision. Process and review chromatographic data in Agilent OpenLab CDS. Support method qualification, validation, and transfer activities by executing protocols and recording observations. Maintain calibration, maintenance, and service records for analytical instrumentation. Independently author method SOPs, analytical protocols, technical reports, and contribute to regulatory submissions. Collaborate cross-functionally with QC, Analytical Development, Process Development, Manufacturing, and Regulatory teams to enable program success. Maintain rigorous laboratory documentation and complete, audit-ready analytical records. Thrive in a fast-paced, cross-functional environment with excellent communication and organizational skills. Qualifications Bachelor's degree in Chemistry, Biochemistry, Chemical Engineering, or related field with 1-3 years of experience; or a master's degree with relevant laboratory experience. Hands-on experience operating HPLC systems; Agilent systems and OpenLab CDS experience strongly preferred. Practical experience with chromatographic techniques including RP-HPLC, SEC, and IEX. Experience supporting QC release or stability testing in a GMP/GLP environment. Strong attention to detail and ability to follow SOPs precisely. Excellent documentation practices and understanding of data integrity. Strong organizational skills with the ability to manage multiple workflows and prioritize effectively in a fast-paced environment. Excellent verbal and written communication skills and comfort working within interdisciplinary teams. Commitment to collaborative work within interdisciplinary project teams. At Vaxess, we're bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to ****************** .

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. 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/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.

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.

Kickstart Your Career at Vertex! Are you ready to make a real impact? At Vertex, our mission is to tackle serious diseases and to change lives, for the better, for the future. Our aim is to give you the skills, insights, and career guidance to be an important part of that future; to turn your potential into progression. As a Vertex intern or co-op, you'll work on meaningful projects, collaborate with talented teams, and learn from industry leaders. We're passionate about innovation, inclusion, and supporting your growth-inside and outside the lab. Why Vertex? Real Projects: You'll work on assignments that make a real impact, not just busy work. Mentorship & Networking: Connect with leaders and peers who want to see you succeed through professional networks, connections, and collaborations that will shape your longer-term career. Flexible & Supportive: We offer flexible work options with Flex @ Vertex and prioritize your wellbeing. Inclusive Culture: Collaboration and inclusion are embedded in everything we do. Career Launchpad: Build skills, explore career paths, and get guidance for your future career. Ready to apply? Submit your application and let's turn possibilities into reality! Your Impact The Vertex Research internship program is a multi-week experiential training program for students currently working towards an undergraduate or advanced degree in Biochemistry, Molecular Biology, Biophysics, Cell Biology, Cell Physiology, Chemistry, Pharmacology, Genetics, or a related field of study. If you are passionate, collaborative, and growth-minded, an internship at Vertex will help you gain meaningful experience in our Research functional areas and serve as a launchpad for your career. The application deadline for this internship is November 30th. Please note that Vertex reviews applications on a rolling basis and reserves the right to close this job posting prior to the listed deadline. Applicants can expect to receive an update about their application before or shortly after the application deadline. Important Notice Regarding Internship and Co-op Inquiries At Vertex Pharmaceuticals, we are committed to providing a fair and structured recruitment process for all students interested in internship and co-op opportunities. To ensure consistency and equity, all student applications must go through our Early Talent Acquisition Team. Due to the high volume of interest, we are unable to respond to individual solicitation. Direct solicitation to Vertex employees- including senior leaders via email will result in removal from the recruiting process. We appreciate your enthusiasm and interest in Vertex. To be considered for internship or co-op roles, please apply directly through our official application channels. (************************************************************************** Thank you for respecting our process and helping us maintain a fair experience for all candidates. What you will be doing: We will have various positions within our functional areas, including but not limited to: Discovery Research is at the core of Vertex's ability to push the science of possibility - and our pursuit of breakthrough discoveries has us seeking innovation both internally and externally. In addition to continuously seeking the best and brightest research scientists to join our team, Vertex places a great emphasis on building collaborative relationships. Analytical Development: works to bring medical discoveries to patients and physicians, translating molecular designs and candidate medicine molecules into manufacturable pharmaceutical materials and medicine products that could be delivered to patients. This role will utilize assay development using LC-MS or HPLC based methods. Discovery Core: assay execution support, culture and scale up of recombinant and primary human cells Drug Metabolism & Pharmacokinetics: unites key translational disciplines to mitigate risk and increase the probability of successful clinical development Human Assay Technologies: supporting human cell assay development such as various 2D and 3D patient-derived cell/ tissue models to build a functional assay for drug discovery. Vector Core Intern will learn bioprocessing of viral vectors and assist scientific staff in the process development and production of viral vectors, to deliver AAV materials to support programs across the Vertex Cell and Genetic Therapies (VCGT) portfolio of programs. What you will need to succeed: Enrolled in an undergraduate or graduate program, majoring in Biochemistry, Molecular Biology, Biophysics, Cell Biology, Cell Physiology, Chemistry, Pharmacology, Genetics, or a related field of study. Legal authorization to work in the United States, now and in the future. Please note that Vertex does not provide sponsorship for internships or entry level roles within this part of the organization. You must be enrolled in an advanced degree program if graduating before August 2026 You must be available to work full-time, 40 hours per week from May - August 2026 Program Details: Full-time, paid internship $20.00 - 32.00 USD/hour Program Dates: May - August 2026 Application Deadline: November 30th, 2025 At Vertex, we believe that when you feel your best, you can perform at your best. That's why our US benefits and global well-being resources are designed to support you. • Free 24/7 onsite gym access and free access to group exercise classes • Subsidized commuter benefits- transit and parking • Provided meals-free breakfast daily! • Career development opportunities and events, including C Suite engagement • Social events-both intern-only and company-wide • Location-specific perks and extras! • Recognition of National Intern Day Equal Opportunities Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Vertex is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Accessibility & Accommodations We're focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Vertex is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com. Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role, Vertex is unable to sponsor non-U.S. persons to apply for an export control license. This job posting is for a temporary role with a third-party agency partner that provides services to Vertex. The individual selected for this role will be offered the role as an employee of that third-party agency; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by the third-party agency upon offer. For any questions or concerns, please contact early_***************. Pay Range: $0 - $0 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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 Lindsay laboratory of the Cardiovascular Research Center in collaboration with the Musolino Laboratory at the Center for Genomic Medicine at Massachusetts General Hospital and Harvard Medical School, seeks an exceptional candidate for the position of research technician to implement studies involving cellular and animal models of rare cardiovascular diseases. The Lindsay Lab is primarily interested in the clinical expression and molecular etiology of human aortic aneurysm. Aneurysm represents the anatomic expression of aortic organ failure with dilation and eventual tear; an event termed “dissection” associated with high mortality. In our research we use human and murine genetics as well as animal modeling to investigate the etiology and pathologic progression of inherited and sporadic aortic disease. Through our findings we hope to discover better diagnostics and novel therapies for patients with aneurysmal conditions. Interested candidates should include a CV and cover letter in their application. Job Summary 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? No 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) Physical Requirements Standing Frequently (34-66%) Walking Frequently (34-66%) Sitting Occasionally (3-33%) Lifting Frequently (34-66%) 35lbs+ (w/assisted device) Carrying Frequently (34-66%) 20lbs - 35lbs Pushing Occasionally (3-33%) Pulling Occasionally (3-33%) Climbing Rarely (Less than 2%) Balancing Frequently (34-66%) Stooping Occasionally (3-33%) Kneeling Occasionally (3-33%) Crouching Occasionally (3-33%) Crawling Rarely (Less than 2%) Reaching Frequently (34-66%) Gross Manipulation (Handling) Frequently (34-66%) Fine Manipulation (Fingering) Frequently (34-66%) Feeling Constantly (67-100%) Foot Use Rarely (Less than 2%) Vision - Far Constantly (67-100%) Vision - Near Constantly (67-100%) Talking Constantly (67-100%) Hearing Constantly (67-100%) Remote Type Onsite Work Location 185 Cambridge Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) 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.

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.

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

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.

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.

, 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 Applications Research Intern to join our growing team of scientists and engineers developing quantum applications for QuEra's neutral atom quantum computers. As an intern, you will collaborate with leading experts in quantum information and AMO physics to explore, model, and test new approaches for using neutral atoms in quantum simulation and computation. This role offers an exceptional opportunity to gain hands-on experience at the intersection of theory and hardware, contributing directly to the advancement of scalable quantum computing. Possible internship projects include development of hardware efficient approaches for the quantum simulation of strongly correlated fermionic problems with physical and logical qubits, quantum dynamics of strongly correlated systems or the development of scalable resource estimation tools for complex quantum workloads such as cryptanalysis. 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 information processing 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 quantum circuit simulation SDKs (e.g., cirq or Qiskit) Experience with resource estimation frameworks (e.g., Qualtran) Familiarity with neutral atom quantum computing hardware 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.

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)

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

The Marine Biological Laboratory is seeking applicants for a Community College Research Intern position in the Gribble Laboratory. The successful applicant will participate in research on maternal effects (how a mother's health or age affects the phenotype of her offspring) and the biology of aging, in a project funded by the National Research Foundation. This research uses rotifers--microscopic, aquatic organisms--as a laboratory study system. The Gribble lab is housed within the Josephine Bay Paul Center, a collaborative research group addressing questions of microbial diversity, molecular evolution, and comparative genomics. More information about our research may be found at: gribblebiolab.org The lab's research uses a suite of molecular, microscopic, biochemical, and behavioral assay techniques. The student's research activities may include designing and conducting experiments, rotifer and phytoplankton culture, PCR, qPCR, protein extraction and analysis, microscopy, data entry and analysis, and/or image and video analysis. The student will be immersed in an active research environment and will interact with diverse scientists both within the Gribble Laboratory and throughout the Marine Biological Laboratory. Additionally, the student will receive scientific training and career mentoring as important components of the Research Internship. The Research Internship is available only to students currently enrolled at a 2-year community college. Qualifications No prior experience is required. Applicants should be enrolled in a 2-year college. This position requires an independent, organized, and self-motivated individual with robust problem-solving skills. Attention to detail and a strong work ethic are essential. Location Marine Biological Laboratory, Woods Hole, MA. Salary The Internship is a research training experience paid at a rate of $15/hr. Hours may be flexible, and can be part-time or full-time, but a commitment of at least 300 hours is expected. Physical Requirements Ability to conduct laboratory experiments and to use a computer are required. This is not a field-work position.

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.