Additional Qualifications and SkillsBachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. 2 years of related experience in research or related environment. Advanced degree may count toward experience.Requirements Strong programming skills in Python and some experience with C++ and Typescript.Proficiency in Machine Learning with practical applications.Expertise in the Software Development Life Cycle (SDLC).Strong problem-solving and analytical skills.Excellent communication and teamwork skills.Computational biology experience is a strong plus.We are especially interested in candidates with: an advanced degree in science or engineeringprogramming experience in languages (e.g., C, Java, MATLAB) in addition to Pythonexperience with machine learning, deep learning, and convolutional neural networkswork experience in biomedical research and/or an academic science environmentdemonstrated experience teaching or training in an informal setting.The successful candidate will be self- motivated, creative, and enjoy working in a dynamic and intellectually stimulating environment. S/he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s/he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from industry a plus.Additional InformationThis is a 12-month term position with benefits and the possibility of extension.The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.The Harvard Medical School is not able to provide visa sponsorship for this position.Not ready to apply? Join our talent community to keep in touch and learn about future opportunities! (https://www.gem.com ?formID=16341e35-cbc6-4904-88a3-09b35763307e)EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Certificates and LicensesCompletion of Harvard IT Academy specified foundational courses (or external equivalent) preferredPosition DescriptionOur group in the Department of Neurobiology at Harvard Medical School is seeking a talented and motivated Software Engineer to join our dynamic team. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware.The ideal candidate should have strong programming skills in Python, some experience with Typescript and C++, and expertise in Machine Learning. Proficiency in the Software Development Life Cycle (SDLC) is essential, and prior experience in computational biology is a strong plus.Main projects include:Development of software for high-throughput imaging instrumentation;Development of software and machine learning pipelines for large-scale data processing and analysis;Development and support of large data processing, storage, and computing infrastructure;Success will require a close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain.Key Responsibilities:Develop, maintain, and optimize software applications using Python, Typescript, and C++.Apply machine learning techniques to solve complex problems and contribute to our ML projects.Collaborate with cross-functional teams to gather requirements, design, and implement software solutions.Utilize your expert knowledge of the SDLC to ensure high-quality software development.Investigate, analyze, and troubleshoot software issues, and implement effective solutions.Stay up-to-date with industry trends and best practices in software development.We offer the opportunity to:apply your coding skills toward understanding the brain in a vibrant academic environment;do cutting edge science with a supportive and collaborative teamCommitment to Equity, Diversity, Inclusion, and BelongingWe are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Valueshttps://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statementBenefitsWe invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.Work Format DetailsThis is an in-person position based on our campus in Boston.#J-18808-Ljbffrby Jobble

Additional Qualifications and SkillsOther Required Qualifications: Bachelor's or Master's degree in Business Administration, Data Science, Statistics, Mathematics, Economics, or a related field.Other Qualifications: Experience as a Business Analyst, Data Analyst, or similar role, preferably with a focus on data analysis and business intelligence.Strong analytical skills and proficiency in statistical analysis tools and techniques.Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, Power BI, Oracle Analytics or similar.Good understanding of data governance principles, data management, and data quality assurance.Excellent communication skills, with the ability to translate complex data analysis into actionable insights for non-technical stakeholders.Strong problem-solving skills and the ability to think critically and strategically.Experience in time management and the ability to manage multiple tasks concurrently.Strong attention to detail and ability to work with large datasets.Additional InformationThis role is offered as a hybrid (some combination of onsite and remote) where you will be required to be onsite at our Boston, MA based campus 2 days per week. Specific days and schedule will be determined between you and your manager.We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.A cover letter is required to be considered for this opportunity.Harvard Business School will not offer visa sponsorship for this opportunity.Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Position DescriptionData Analysis and Interpretation: Perform in-depth analysis of complex data sets, including financial, operational, and customer data. Use statistical methods and data visualization techniques to identify trends, patterns, and correlations that can provide valuable insights to support strategic decision-making.Requirements Gathering: Collaborate with stakeholders from different departments to understand their business objectives and requirements. Translate business needs into data analysis requirements and develop analytical models to address specific business questions or problems.Reporting and Presentations : Create clear and concise reports, dashboards, and presentations to communicate findings and recommendations to both technical and non-technical stakeholders. Present complex data and analysis results in a visually compelling and easy-to-understand manner.Insights and Recommendations: Analyze data and identify opportunities for process improvement, cost reduction, revenue growth, and enhanced customer experience. Provide actionable recommendations based on data-driven insights to support business strategies and objectives.Data Visualization: Utilize data visualization tools to create interactive and intuitive visual representations of data, enabling stakeholders to explore and understand complex information more effectively.Cross-Functional Collaboration: Collaborate with cross-functional teams, including business stakeholders, IT professionals, and data engineers, to ensure smooth data integration, implementation of analytical solutions, and alignment with business goals.Continuous Learning and Development: Stay up to date with industry trends, emerging technologies, and best practices in data analysis, business intelligence, and data visualization. Continuously enhance skills and knowledge through self-learning, training, and professional development opportunities.Ability to perform the essential duties of the position with or without reasonable accommodation.This role is responsible for other duties as assigned.Commitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.BenefitsWe invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.About UsHarvard Business School's department of External Relations (ER) is a place where innovation and record-breaking results are the norm. The technology that enables these accomplishments is essential to the success of the organization. We have a large and complex technology portfolio with integrations between a website, mobile app, numerous applications, and databases. We have an experienced team of data professionals who have invested years in building the foundation of our technology portfolio.The ER Business Intelligence team collaborates with business stakeholders to understand their needs, objectives, and challenges. We proactively engage with departments and teams to identify opportunities for leveraging data-driven decision-making. We apply predictive analytics techniques to forecast future trends, identify potential risks or opportunities, and support strategic planning. The BI team designs intuitive and visually appealing dashboards and reports that present complex data in an easily understandable manner. It is the BI team's responsibilities to stay informed about emerging trends and technologies in the BI field and evaluate their potential impact on the organization.We are seeking a highly analytical and detail-oriented individual with creative and critical thinking, excellent problem-solving skills, experience with in-depth analysis of complex data sets, and solid background in various technologies to join our team as a Senior Business and Data Analyst. Senior Business and Data Analyst is a key role within an organization that combines business acumen with data analysis skills to drive informed decision-making and support business objectives. This position involves working closely with various stakeholders to gather and analyze data, identify trends, and provide actionable insights. The Senior Business and Data Analyst is responsible for leveraging data to solve complex business problems, improve operational efficiency, and enhance overall performance.#J-18808-Ljbffrby Jobble

Additional Qualifications and Skills Other Required Qualifications:<ul><li>Bachelor's or Master's degree in Business Administration, Data Science, Statistics, Mathematics, Economics, or a related field.</li></ul> Other Qualifications: <ul><li>Experience as a Business Analyst, Data Analyst, or similar role, preferably with a focus on data analysis and business intelligence.</li><li>Strong analytical skills and proficiency in statistical analysis tools and techniques.</li><li>Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, Power BI, Oracle Analytics or similar.</li><li>Good understanding of data governance principles, data management, and data quality assurance.</li><li>Excellent communication skills, with the ability to translate complex data analysis into actionable insights for non-technical stakeholders.</li><li>Strong problem-solving skills and the ability to think critically and strategically.</li><li>Experience in time management and the ability to manage multiple tasks concurrently.</li><li>Strong attention to detail and ability to work with large datasets.</li></ul> Additional Information This role is offered as a hybrid (some combination of onsite and remote) where you will be required to be onsite at our Boston, MA based campus 2 days per week. Specific days and schedule will be determined between you and your manager. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here https://www.hbs.edu/employment. EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. Position Description <ul><li>Data Analysis and Interpretation: Perform in-depth analysis of complex data sets, including financial, operational, and customer data. Use statistical methods and data visualization techniques to identify trends, patterns, and correlations that can provide valuable insights to support strategic decision-making.</li><li>Requirements Gathering: Collaborate with stakeholders from different departments to understand their business objectives and requirements. Translate business needs into data analysis requirements and develop analytical models to address specific business questions or problems.</li><li>Reporting and Presentations: Create clear and concise reports, dashboards, and presentations to communicate findings and recommendations to both technical and non-technical stakeholders. Present complex data and analysis results in a visually compelling and easy-to-understand manner.</li><li>Insights and Recommendations: Analyze data and identify opportunities for process improvement, cost reduction, revenue growth, and enhanced customer experience. Provide actionable recommendations based on data-driven insights to support business strategies and objectives.</li><li>Data Visualization: Utilize data visualization tools to create interactive and intuitive visual representations of data, enabling stakeholders to explore and understand complex information more effectively.</li><li>Cross-Functional Collaboration: Collaborate with cross-functional teams, including business stakeholders, IT professionals, and data engineers, to ensure smooth data integration, implementation of analytical solutions, and alignment with business goals.</li><li>Continuous Learning and Development: Stay up to date with industry trends, emerging technologies, and best practices in data analysis, business intelligence, and data visualization. Continuously enhance skills and knowledge through self-learning, training, and professional development opportunities.</li></ul> <ul><li>Ability to perform the essential duties of the position with or without reasonable accommodation.</li><li>This role is responsible for other duties as assigned.</li></ul> Commitment to Equity, Diversity, Inclusion, and Belonging Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values. Benefits We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: <ul> <li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li> <li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li> <li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li> <li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul> About Us Harvard Business School's department of External Relations (ER) is a place where innovation and record-breaking results are the norm. The technology that enables these accomplishments is essential to the success of the organization. We have a large and complex technology portfolio with integrations between a website, mobile app, numerous applications, and databases. We have an experienced team of data professionals who have invested years in building the foundation of our technology portfolio. The ER Business Intelligence team collaborates with business stakeholders to understand their needs, objectives, and challenges. We proactively engage with departments and teams to identify opportunities for leveraging data-driven decision-making. We apply predictive analytics techniques to forecast future trends, identify potential risks or opportunities, and support strategic planning. The BI team designs intuitive and visually appealing dashboards and reports that present complex data in an easily understandable manner. It is the BI team's responsibilities to stay informed about emerging trends and technologies in the BI field and evaluate their potential impact on the organization. We are seeking a highly analytical and detail-oriented individual with creative and critical thinking, excellent problem-solving skills, experience with in-depth analysis of complex data sets, and solid background in various technologies to join our team as a Senior Business and Data Analyst. Senior Business and Data Analyst is a key role within an organization that combines business acumen with data analysis skills to drive informed decision-making and support business objectives. This position involves working closely with various stakeholders to gather and analyze data, identify trends, and provide actionable insights. The Senior Business and Data Analyst is responsible for leveraging data to solve complex business problems, improve operational efficiency, and enhance overall performance.

Additional Qualifications and Skills Bachelor's Degree in computer science, engineering, life or physical sciences or a related discipline preferred. Highly proficient in Python. 2 years of related experience in research or related environment. Advanced degree may count toward experience. Requirements<ul><li>Strong programming skills in Python and some experience with C++ and Typescript.</li><li>Proficiency in Machine Learning with practical applications.</li><li>Expertise in the Software Development Life Cycle (SDLC).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork skills.</li><li>Computational biology experience is a strong plus.</li></ul> We are especially interested in candidates with:<ul><li>an advanced degree in science or engineering</li><li>programming experience in languages (e.g., C, Java, MATLAB) in addition to Python</li><li>experience with machine learning, deep learning, and convolutional neural networks</li><li>work experience in biomedical research and/or an academic science environment</li><li>demonstrated experience teaching or training in an informal setting.</li></ul>The successful candidate will be self- motivated, creative, and enjoy working in a dynamic and intellectually stimulating environment. S/he will be skilled at translating research problems into well-defined technical specifications and then developing and supporting user-friendly software solutions; s/he will have excellent coding skills; interpersonal skills; and enthusiasm for collaborating closely with biologists. Demonstrated experience in software development from industry a plus. Additional Information This is a 12-month term position with benefits and the possibility of extension. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines. Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding. The Harvard Medical School is not able to provide visa sponsorship for this position. Not ready to apply? Join our talent community to keep in touch and learn about future opportunities! (https://www.gem.com ?formID=16341e35-cbc6-4904-88a3-09b35763307e) EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. Certificates and Licenses <ul> <li>Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred</li></ul> Position Description Our group in the Department of Neurobiology at Harvard Medical School is seeking a talented and motivated Software Engineer to join our dynamic team. This position is ideally suited to a strong programmer wishing to apply their skills to understanding biological neural networks. We are interested in how computations arise from the organization and connectivity of neuronal networks. To analyze neural circuit structure and function at highest resolution and completeness possible, we combine large-scale structural and functional imaging techniques including high-throughput electron and X-ray microscopy, and in vivo two-photon calcium imaging. We seek a software engineer with strong programming skills and coding experience. They should be capable of developing and deploying software for large data processing, handling, and analysis; user interfaces; and for driving custom hardware. The ideal candidate should have strong programming skills in Python, some experience with Typescript and C++, and expertise in Machine Learning. Proficiency in the Software Development Life Cycle (SDLC) is essential, and prior experience in computational biology is a strong plus. Main projects include: <ul><li>Development of software for high-throughput imaging instrumentation;</li><li>Development of software and machine learning pipelines for large-scale data processing and analysis;</li><li>Development and support of large data processing, storage, and computing infrastructure;</li><li>Success will require a close working collaboration with biologists and the ability to independently develop scientific computing software solutions to address biological questions. Building and optimizing programming pipelines will play a vital role in helping us to better understand the brain.</li></ul> Key Responsibilities: <ul><li>Develop, maintain, and optimize software applications using Python, Typescript, and C++.</li><li>Apply machine learning techniques to solve complex problems and contribute to our ML projects.</li><li>Collaborate with cross-functional teams to gather requirements, design, and implement software solutions.</li><li>Utilize your expert knowledge of the SDLC to ensure high-quality software development.</li><li>Investigate, analyze, and troubleshoot software issues, and implement effective solutions.</li><li>Stay up-to-date with industry trends and best practices in software development.</li></ul> We offer the opportunity to: <ul><li>apply your coding skills toward understanding the brain in a vibrant academic environment;</li><li>do cutting edge science with a supportive and collaborative team</li></ul> Commitment to Equity, Diversity, Inclusion, and Belonging We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values https://hms.harvard.edu/about-hms/campus-culture/mission-community-values-diversity-statement Benefits We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include: <ul> <li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li> <li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li> <li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li> <li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul> Work Format Details This is an in-person position based on our campus in Boston.

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