Research internship jobs in North Attleborough, MA

🌍 Machine Learning Scientist | Applied ML / Deep Science | NYC A leading science-driven venture group is building a high-impact applied ML team - and they're looking for a Machine Learning Scientist to join them. This is the kind of environment where new scientific platforms are born, supported by serious domain expertise across biology, chemistry, materials and more. About the role You'll design cutting-edge LLM workflows, build custom evaluation frameworks, and turn early prototypes into scalable systems that shape how scientific discovery happens. 💡 What you'll work on Create and test LLM reasoning, planning and tool-use workflows Build and benchmark models with rigorous, domain-aware evaluations Scale prototypes and integrate production-ready feedback loops with scientists and engineers 🚀 What they value Curiosity and depth in applied ML Strong experimentation habits and clear thinking around evals Ability to work closely with multidisciplinary teams in a high-ambition environment If this sounds interesting, drop me a message and we'll arrange a chat.

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.

The Center for Engineering in Medicine & Surgery (CEMS) is a place where scientific rigor and creativity are matched by a sense of sharing and community, bringing technology to the forefront of biomedical research and the practice of medicine. The CEMS draws strength from its diversity and collaborative spirit, and from its affiliations with surrounding biomedical research institutions including the Massachusetts General Hospital, the Harvard Medical School, the Shriners Burns Hospital, and the Massachusetts Institute of Technology. Interactions both within and outside the CEMS provide excellent opportunities for training and next career steps. The emphasis of CEMS on collaboration serves to remove the boundaries separating the engineering, scientific and clinical disciplines. The physical layout and research activities in the CEMS follow the same principles with an open-bay configuration, interdisciplinary group meetings and a focus on highly challenging cutting-edge problems. We have an opening for a junior technical staff role (Bachelors level training in relevant fields with research, and therefore good analytical skills and independent thinking are critical. Excellent communication and organizational skills are a must in our fast paced environment featuring translational research ranging from cells to organ transplantation and clinical studies. Over the last decade all staff with similar roles have been acknowledged as authors in scientific publications due to their intellectual contributions. The vast majority have moved on to receive graduate training in MD, PhD or MBA programs, including many ivy league schools. The others have found high-paying industry positions. We are looking forward to see our new colleagues meet and exceed these high standards of success. Application package (IMPORTANT) Please include in your application i) a brief cover letter, including a listing laboratory skills and other scientific methods mastered, and ii) a list of 2 references willing to submit reference letters at a later date. Applications can be done either directly via linkedin, or if preferred, by sending an email to ********************** with a pdf attachment for the above items required.

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.

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

At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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. 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.

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.

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

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 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.