{"schemaVersion":"jobsearcher.job.v1","id":"33da9fe6ef3401d55ae73cf2","url":"https://jobsearcher.com/jobs/33da9fe6ef3401d55ae73cf2","canonicalUrl":"https://jobsearcher.com/jobs/33da9fe6ef3401d55ae73cf2","title":"Scientist, CMC Quantitative Sciences","description":"The Role:\n\nModerna is seeking a hands-on Scientist to join the CMC Quantitative Sciences (QS) team in Norwood, MA. CMC QS is a multidisciplinary team that applies statistics, data science, machine learning, mechanistic and predictive modeling, data engineering, and digital solutions to decisions across the product, process and platform, and analytical method lifecycles.\n\nIn this role, you will partner with scientists, engineers, manufacturing, analytical, quality, regulatory, and digital teams to solve scientific and operational problems using fit-for-purpose quantitative approaches. You will independently lead complex analyses and defined workstreams supported by technical direction from the team.\n\nThe successful candidate will bring strong technical depth in at least one quantitative discipline and an interest in building breadth across related capabilities. A background that combines applied statistics with machine learning or predictive modeling in the pharmaceutical industry is particularly valuable. This position is based onsite in Norwood, MA, where close collaboration with laboratory, development, manufacturing, and quality partners is central to the role.\n\nHere’s What You’ll Do:\n\nIndependently plan and execute moderately complex quantitative analyses, models, or data solutions that support research, development, manufacturing, analytical, quality, and product lifecycle decisions.\n\nTranslate scientific and business questions into clear analytical objectives; identify data requirements, select appropriate methods, assess assumptions and limitations, communicate conclusions, and recommended next steps.\n\nApply quantitative methods suited to the problem, including statistics, machine learning, mechanistic modeling, data science, and data engineering.\n\nLead defined projects or workstreams with manageable risk and resource requirements; establish plans, coordinate contributors, manage timelines, identify dependencies, and escalate technical or delivery risks early.\n\nPartner directly with cross-functional scientists, engineers, manufacturing, analytical, quality, regulatory, and digital teams to ensure studies and analyses are appropriately designed and results are translated into practical decisions.\n\nDevelop reproducible and traceable analyses, models, code, visualizations, reports, and technical documentation aligned with team standards and phase-appropriate GxP expectations.\n\nContribute quantitative content and supporting analyses for technical reports, regulatory submissions, responses to health authority questions, and other controlled documents, with senior leader review as appropriate.\n\nBuild, improve, or apply reusable methods, scripts, templates, dashboards, pipelines, and analytical tools that increase the consistency, scalability, and efficiency of CMC decision-making.\n\nEvaluate data quality and analytical readiness; work with data owners and partners to resolve gaps, document assumptions, and improve data practices at the source.\n\nCommunicate complex technical and scientific information clearly to technical and non-technical audiences, including difficult findings, uncertainty, tradeoffs, and limitations.\n\nProvide informal mentoring and technical guidance to less-experienced colleagues; contribute to peer review, knowledge sharing, training, and continuous improvement within CMC QS.\n\nStay current with relevant quantitative methods, digital technologies, regulatory expectations, and industry practices; introduce new approaches when they provide clear scientific or business value.\n\nHere’s What You’ll Bring to the Table:\n\nMinimum Qualifications\n\nPhD (0 - 2 yrs), MS (5 - 8 yrs), or BS (8 - 10 yrs) in Statistics, Biostatistics, Data Science, Applied Mathematics, Chemical Engineering, Biochemical Engineering, or a related STEM discipline.\n\nDemonstrated depth in at least one quantitative area, such as applied statistics, machine learning or predictive modeling, data science, mechanistic modeling, data engineering, or digital analytics solutions.\n\nExperience independently selecting and applying quantitative methods to moderately complex scientific, technical, or operational problems.\n\nProficiency with computer languages (R, Python, SQL, etc.) and statistical software packages (JMP, Statistica, Minitab, etc.) to manipulate and analyze data.\n\nExperience developing clear, reproducible analyses and communicating methods, assumptions, limitations, results, and recommendations to cross-functional partners.\n\nAbility to lead defined assignments or small to mid-sized workstreams, manage competing priorities, and deliver high-quality work within agreed timelines.\n\nUnderstanding of regulatory guidance (e.g., ICH, FDA, EMA, WHO).\n\nPreferred Qualifications\n\nBreadth across more than one CMC QS capability, such as statistics, modeling, data engineering, automation, visualization, or digital solution development.\n\nExperience developing, validating, or deploying machine learning, mechanistic, predictive, or multivariate models in a scientific or manufacturing setting.\n\nFamiliarity with pharmaceutical or biotechnology development, analytical development, manufacturing, quality systems, or regulated laboratory environments.\n\nWorking knowledge of phase-appropriate GxP principles, data integrity, risk-based decision-making, and regulatory expectations such as ICH, FDA, EMA, or other health authority guidance.\n\nExperience with manufacturing, laboratory, or quality data systems, such as MES, LIMS, OSI PI, SAP, DeltaV, Chromeleon, laboratory instruments, cloud data platforms, or internal applications.\n\nExperience contributing to technical reports, regulatory submissions, controlled documentation, or responses to health authority questions.\n\nExperience building reusable analytical code, automated reports, dashboards, applications, data pipelines, or governed digital solutions.\n\nKnowledge of phase-appropriate GMP principles and risk-based decision making.\n\nCompetencies\n\nApplies sound technical judgment while balancing scientific rigor, practical importance, risk, and business need.\n\nWorks effectively across disciplines and functions; clarifies roles, decisions, dependencies, and next steps when expectations are ambiguous.\n\nTakes ownership of assigned outcomes and communicates status, risks, and decisions needed in a timely and constructive manner.\n\nHandles multiple priorities in a dynamic environment without compromising quality, traceability, or stakeholder alignment.\n\nExchanges complex technical information effectively; can guide or influence others through evidence and clear reasoning.\n\nCurious, adaptable, and willing to learn new scientific domains, methods, technologies, and ways of working.\n\nCommitted to reliable execution, continuous improvement, and collaborative problem-solving.\n\nAdept of managing multiple projects in a dynamic environment.\n\nDetail-oriented with a passion for science and data analysis.\n\nSelf-motivated with effective communication skills.\n\nKeen to learn & adapt, with the ability to pivot in the face of new data.\n\nOur Working Model\n\nAs we build our company, we have always believed that an in-person culture is critical to our success. This role is 100% onsite, reflecting the importance of being physically present to support the work, collaborate closely with colleagues, and contribute to our site-based operations.\n\nWorking onsite enables real-time collaboration, strong team connections, direct mentorship, and the hands-on partnership needed to deliver our mission. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.\n\nModerna is a smoke-free, alcohol-free, and drug-free work environment.\n\nPay & Benefits\n\nAt Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between.\n\nCompetitive healthcare, plus voluntary benefit programs to support your unique needs\nA holistic approach to well-being, with access to fitness, mindfulness, and mental health support\nFamily planning benefits, including fertility, adoption, and surrogacy support\nGenerous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown\nSavings and investments to help you plan for the future\nLocation-specific perks and extras\n\nThe salary range for this role is $109,200.00 - $174,600.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.\n\nThe successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.\n\nAbout Moderna\n\nSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.\n\nBy living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.\n\nWe are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.\n\nIf you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.\n\nEqual Opportunities\n\nModerna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!\n\nModerna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.\n\nAccommodations\n\nWe’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.\n\nModerna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com .\n\nExport Control Notice\nThis position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.\n\n-","company":"Moderna","rawCompany":"moderna","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-18T09:16:47.771Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2099.00","title":"Mathematical Science Occupations, All Other","slug":"mathematical-science-occupations-all-other"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Scientist, CMC Quantitative Sciences","description":"The Role:\n\nModerna is seeking a hands-on Scientist to join the CMC Quantitative Sciences (QS) team in Norwood, MA. CMC QS is a multidisciplinary team that applies statistics, data science, machine learning, mechanistic and predictive modeling, data engineering, and digital solutions to decisions across the product, process and platform, and analytical method lifecycles.\n\nIn this role, you will partner with scientists, engineers, manufacturing, analytical, quality, regulatory, and digital teams to solve scientific and operational problems using fit-for-purpose quantitative approaches. You will independently lead complex analyses and defined workstreams supported by technical direction from the team.\n\nThe successful candidate will bring strong technical depth in at least one quantitative discipline and an interest in building breadth across related capabilities. A background that combines applied statistics with machine learning or predictive modeling in the pharmaceutical industry is particularly valuable. This position is based onsite in Norwood, MA, where close collaboration with laboratory, development, manufacturing, and quality partners is central to the role.\n\nHere’s What You’ll Do:\n\nIndependently plan and execute moderately complex quantitative analyses, models, or data solutions that support research, development, manufacturing, analytical, quality, and product lifecycle decisions.\n\nTranslate scientific and business questions into clear analytical objectives; identify data requirements, select appropriate methods, assess assumptions and limitations, communicate conclusions, and recommended next steps.\n\nApply quantitative methods suited to the problem, including statistics, machine learning, mechanistic modeling, data science, and data engineering.\n\nLead defined projects or workstreams with manageable risk and resource requirements; establish plans, coordinate contributors, manage timelines, identify dependencies, and escalate technical or delivery risks early.\n\nPartner directly with cross-functional scientists, engineers, manufacturing, analytical, quality, regulatory, and digital teams to ensure studies and analyses are appropriately designed and results are translated into practical decisions.\n\nDevelop reproducible and traceable analyses, models, code, visualizations, reports, and technical documentation aligned with team standards and phase-appropriate GxP expectations.\n\nContribute quantitative content and supporting analyses for technical reports, regulatory submissions, responses to health authority questions, and other controlled documents, with senior leader review as appropriate.\n\nBuild, improve, or apply reusable methods, scripts, templates, dashboards, pipelines, and analytical tools that increase the consistency, scalability, and efficiency of CMC decision-making.\n\nEvaluate data quality and analytical readiness; work with data owners and partners to resolve gaps, document assumptions, and improve data practices at the source.\n\nCommunicate complex technical and scientific information clearly to technical and non-technical audiences, including difficult findings, uncertainty, tradeoffs, and limitations.\n\nProvide informal mentoring and technical guidance to less-experienced colleagues; contribute to peer review, knowledge sharing, training, and continuous improvement within CMC QS.\n\nStay current with relevant quantitative methods, digital technologies, regulatory expectations, and industry practices; introduce new approaches when they provide clear scientific or business value.\n\nHere’s What You’ll Bring to the Table:\n\nMinimum Qualifications\n\nPhD (0 - 2 yrs), MS (5 - 8 yrs), or BS (8 - 10 yrs) in Statistics, Biostatistics, Data Science, Applied Mathematics, Chemical Engineering, Biochemical Engineering, or a related STEM discipline.\n\nDemonstrated depth in at least one quantitative area, such as applied statistics, machine learning or predictive modeling, data science, mechanistic modeling, data engineering, or digital analytics solutions.\n\nExperience independently selecting and applying quantitative methods to moderately complex scientific, technical, or operational problems.\n\nProficiency with computer languages (R, Python, SQL, etc.) and statistical software packages (JMP, Statistica, Minitab, etc.) to manipulate and analyze data.\n\nExperience developing clear, reproducible analyses and communicating methods, assumptions, limitations, results, and recommendations to cross-functional partners.\n\nAbility to lead defined assignments or small to mid-sized workstreams, manage competing priorities, and deliver high-quality work within agreed timelines.\n\nUnderstanding of regulatory guidance (e.g., ICH, FDA, EMA, WHO).\n\nPreferred Qualifications\n\nBreadth across more than one CMC QS capability, such as statistics, modeling, data engineering, automation, visualization, or digital solution development.\n\nExperience developing, validating, or deploying machine learning, mechanistic, predictive, or multivariate models in a scientific or manufacturing setting.\n\nFamiliarity with pharmaceutical or biotechnology development, analytical development, manufacturing, quality systems, or regulated laboratory environments.\n\nWorking knowledge of phase-appropriate GxP principles, data integrity, risk-based decision-making, and regulatory expectations such as ICH, FDA, EMA, or other health authority guidance.\n\nExperience with manufacturing, laboratory, or quality data systems, such as MES, LIMS, OSI PI, SAP, DeltaV, Chromeleon, laboratory instruments, cloud data platforms, or internal applications.\n\nExperience contributing to technical reports, regulatory submissions, controlled documentation, or responses to health authority questions.\n\nExperience building reusable analytical code, automated reports, dashboards, applications, data pipelines, or governed digital solutions.\n\nKnowledge of phase-appropriate GMP principles and risk-based decision making.\n\nCompetencies\n\nApplies sound technical judgment while balancing scientific rigor, practical importance, risk, and business need.\n\nWorks effectively across disciplines and functions; clarifies roles, decisions, dependencies, and next steps when expectations are ambiguous.\n\nTakes ownership of assigned outcomes and communicates status, risks, and decisions needed in a timely and constructive manner.\n\nHandles multiple priorities in a dynamic environment without compromising quality, traceability, or stakeholder alignment.\n\nExchanges complex technical information effectively; can guide or influence others through evidence and clear reasoning.\n\nCurious, adaptable, and willing to learn new scientific domains, methods, technologies, and ways of working.\n\nCommitted to reliable execution, continuous improvement, and collaborative problem-solving.\n\nAdept of managing multiple projects in a dynamic environment.\n\nDetail-oriented with a passion for science and data analysis.\n\nSelf-motivated with effective communication skills.\n\nKeen to learn & adapt, with the ability to pivot in the face of new data.\n\nOur Working Model\n\nAs we build our company, we have always believed that an in-person culture is critical to our success. This role is 100% onsite, reflecting the importance of being physically present to support the work, collaborate closely with colleagues, and contribute to our site-based operations.\n\nWorking onsite enables real-time collaboration, strong team connections, direct mentorship, and the hands-on partnership needed to deliver our mission. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact.\n\nModerna is a smoke-free, alcohol-free, and drug-free work environment.\n\nPay & Benefits\n\nAt Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between.\n\nCompetitive healthcare, plus voluntary benefit programs to support your unique needs\nA holistic approach to well-being, with access to fitness, mindfulness, and mental health support\nFamily planning benefits, including fertility, adoption, and surrogacy support\nGenerous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown\nSavings and investments to help you plan for the future\nLocation-specific perks and extras\n\nThe salary range for this role is $109,200.00 - $174,600.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.\n\nThe successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.\n\nAbout Moderna\n\nSince our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.\n\nBy living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities.\n\nWe are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S.\n\nIf you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities.\n\nEqual Opportunities\n\nModerna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!\n\nModerna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.\n\nAccommodations\n\nWe’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best.\n\nModerna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com .\n\nExport Control Notice\nThis position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.\n\n-","datePosted":"2026-09-18T09:16:47.771Z","dateModified":"2026-09-18T09:16:47.771Z","hiringOrganization":{"@type":"Organization","name":"Moderna","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"33da9fe6ef3401d55ae73cf2"},"url":"https://jobsearcher.com/jobs/33da9fe6ef3401d55ae73cf2"}}