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We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. \r\nTetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom\r\nIn connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. \r\nIt is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. \r\nWho You Are \r\nYou are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.\r\nWith deep domain knowledge in DMPK and Metabolite ID, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.\r\nYou will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. \r\nYou will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. \r\nThis role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.\r\n\r\nWhat You Will Do \r\n Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors.\r\n Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases.\r\n Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications.\r\n Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases.\r\n Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions.\r\n AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings.\r\n Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption.\r\n Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes.\r\n Requirements\r\n\r\nWhat You Have Done\r\n PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification\r\n Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts.\r\n Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.\r\n Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.\r\n Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities \r\n Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.\r\n Benefits\r\n 100% employer-paid benefits for all eligible employees and immediate family members\r\n Unlimited paid time off (PTO)\r\n 401K\r\n Remote working opportunities, when not at customer sites\r\n Company paid Life Insurance, LTD/STD\r\n A culture of continuous improvement where you can grow your career and get coaching\r\n ","price":"","unit":"per year","currency":null,"company":"Workable","language":"en","online":1,"infoType":1,"biz":"jobs","postDate":"1758817730000","seoName":"scientific-business-analyst-dmpk-metabolite-id","supplement":null,"author":null,"originalPrice":null,"soldCnt":null,"topSeller":null,"source":1,"cardType":null,"action":"https://us.ok.com/en/city-massachusetts/cate-analysts1/scientific-business-analyst-dmpk-metabolite-id-6384866952268912/","localIds":"31242","cateId":null,"tid":null,"logParams":{"tid":"6b6ac852-348e-4c90-a4a6-2d05e7fa820b","sid":"2156b0ef-d4da-4849-963e-9c94a2f3f063"},"attrParams":{"summary":null,"highLight":["PhD in life sciences with 15+ years experience","Expert in DMPK and Metabolite ID","Lead AI/ML use cases for scientific outcomes"],"employment":[{"icon":"https://sgj1.ok.com/yongjia/bkimg/8hvituaa__w72_h72.webp","name":"Job Type","value":"Full-time","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/is8j0f44__w72_h72.webp","name":"Workplace type","value":"Onsite","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/ji66qqr0__w72_h72.webp","name":null,"value":"Cambridge,Massachusetts","unit":null}]},"addDate":1758817730645,"categoryName":"Analysts","postCode":null,"secondCateCode":"consulting-strategy","kycTag":null,"pictureUrls":null,"priceDetail":null,"featureLabels":null,"supplementList":null,"soldCntStr":null,"companyLogo":null,"reportStatus":null,"isFavorite":false},{"category":"4000,4105,4106","location":"Cambridge, MA, USA","infoId":"6384866956339512","pictureUrl":"https://uspic1.ok.com/post/image/fc2dfa4f-dccd-4b5b-b64c-e4037dc4d35f.jpg","videos":null,"title":"Scientific Business Analyst, Medicinal Chemistry","content":"\r\nWho We Are\r\nTetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. \r\nTetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom\r\nWe are committed to accelerating discovery and development by engineering liquid, contextualized, FAIR data, and enabling AI-native scientific outcomes. Our Scientific Business Analysts (Sciborgs) are a bridge between scientists and data engineers, translating complex R&D requirements into actionable data and AI solutions that transform how science is done.\r\nAs part of our high-profile partnership with a top pharma company, we are building a team of chemistry-focused Sciborgs who will bring domain expertise in medicinal chemistry, synthetic chemistry, and DMPK/metabolite ID to the forefront of scientific data transformation\r\nIn connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. \r\nIt is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. \r\n\r\nWho You Are \r\nWe are seeking a Scientific Business Analyst – Medicinal Chemistry with a strong foundation in synthetic or medicinal chemistry and experience working with data platforms, cheminformatics tools, and workflow automation. This role is ideal for someone who has: \r\n Been at the bench or in a med chem team, has curated or managed chemical/assay data, and is excited to translate scientific requirements into technical specifications for data architects, engineers, and AI teams.\r\n You will work directly with our partner’s scientists and TetraScience’s engineering teams to harmonize, contextualize, and enable advanced analytics on critical chemistry and DMPK datasets.\r\n \r\nWhat You'll Do \r\n Serve as the bridge between medicinal chemists/DMPK scientists and technical teams, gathering requirements and translating them into clear specifications for data engineers and AI solution developers. \r\n Partner with our partner’s med chem teams on DMTA (design-make-test-analyze) cycles, ensuring scientific data flows seamlessly between compound design, assay results, and decision-making workflows.\r\n Map and harmonize scientific data across key platforms: LiveDesign (Schrödinger) for compound design and tracking.D360 for SAR analysis, data visualization, and activity cliffs. KNIME for no-code workflow automation and plate map generation. Internal databases (grdb) and other informatics tools. Identify and resolve data comparability challenges across sites/vendors (e.g., assay reproducibility, sequential vs. parallel execution).\r\n Collaborate with upstream (biology/target validation) and downstream (DMPK, safety, analytical) functions to ensure chemistry data is contextualized for cross-domain integration.\r\n Support adoption of new tools and platforms (e.g., CDD Vault, StarDrop, Genedata, Pipeline Pilot, Spotfire) by defining requirements, building prototypes, and driving user feedback loops.\r\n Develop user stories, workflows, and data models that guide engineering teams in building scalable solutions for chemistry data and AI/ML applications.\r\n \r\nWhat You Bring\r\n PhD or MS in Organic Chemistry, Medicinal Chemistry, or related field with 3+ years of post-graduate industry experience (med chem, DMPK, or analytical).\r\n Hands-on experience in synthetic chemistry or medicinal chemistry with exposure to DMTA workflows and data-driven decision-making.\r\n Familiarity with cheminformatics and scientific data tools such as LiveDesign, D360, KNIME, Pipeline Pilot, Spotfire, CDD Vault, StarDrop, Genedata.\r\n Ability to understand and communicate both scientific and technical concepts, including assay design, SAR analysis, plate-based workflows, and LC-MS data.\r\n Strong skills in data curation, pipeline development, and workflow automation; exposure to SQL or Python preferred. Excellent problem-solving and communication skills; able to partner with both bench scientists and data engineers.\r\n Passion for enabling AI/ML solutions in drug discovery and development.\r\n Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.\r\n Ability to  engage diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities \r\n Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.\r\n \r\nWhy Tetrascience\r\nJoin a mission-driven company transforming the scientific data ecosystem. Be part of a high-impact partnership with a top 25 pharma, helping to shape how modern medicinal chemistry integrates with AI. Collaborate with world-class scientists, engineers, and AI experts. 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We are a clinician-led company with over two decades of experience in digital health. As consultants we craft bespoke strategies for clients in the healthcare sector, and as a studio we spine out companies – from research labs of a hospital to commercial ventures with a hospital. We pride ourselves on our nimble approach that connects strategy with action, going deeper than traditional consulting firms by leveraging our real-world experience to ensure practical and impactful solutions. \r\nWe are seeking a highly skilled and motivated Strategy Consultant to join our health system advisory & studio team, specializing in the U.S. healthcare sector. The ideal candidate will have extensive experience in digital health, a robust background in primary and secondary research, and exceptional client management skills. This role is pivotal in driving strategy engagements and leading day-to-day project activities for startups, health systems, and other Fortune 500 clients.\r\nRequirements\r\nKey Responsibilities\r\nPartner with healthcare clients to identify challenges, define objectives, and develop tailored solutions in areas such as digital innovation, product-market  fit for clinical use cases, market growth, patient experience and operational efficiency – that have the commercial potential and can be spun out as independent companies \r\n Lead and execute end-to-end project lifecycles, including discovery, analysis, strategy development, implementation, and evaluation.\r\n Analyse qualitative, quantitative to identify industry trends, market opportunities, and competitive landscapes.\r\n Facilitate client workshops, stakeholder interviews, and cross-functional team meetings to gather insights and build consensus.\r\n Prepare and deliver compelling presentations, reports, and strategic recommendations to senior client leadership.\r\n Collaborate with internal teams to develop innovative frameworks, methodologies, and tools that address evolving industry challenges.\r\n Stay informed on the latest advancements in digital health technologies and regulations. \r\n Has the know-how of building financial models – valuations, use of funds for investment in these spin-outs.\r\n \r\nQualifications\r\n Education: Bachelor’s degree in Business Administration, Public Health, Health Administration, or a related field; or a Master’s degree with relevant experience.\r\n Experience:\r\n Minimum of 4-5 years of experience in a healthcare or management consulting.\r\n Strong grasp of the U.S. healthcare system, payment models, and the digital health landscape.\r\n Experience in product is highly desirable.\r\n Desired Skills\r\n Strong project management capabilities with the ability to set objectives aligned with organizational goals and ability to meet deadlines.\r\n Excellent oral and written communication skills with strong executive presence.\r\n Proven analytical skills with a structured approach to problem-solving.\r\n Ability to thrive in a fast-paced environment while maintaining attention to detail.\r\n Desired Attributes\r\n A proactive problem-solver who thrives in ambiguous environments.\r\n Passionate about improving healthcare delivery and patient outcomes.\r\n Strong interpersonal skills with a collaborative approach to teamwork.\r\n Self-starter with a strong work ethic.\r\n Benefits\r\nWhy work with us?\r\nThis role offers an exciting opportunity for an Associate Consultant to make a meaningful impact in the healthcare sector while developing their skills in a dynamic environment. You will work side by side with some of the smartest minds in this space like Ann, Sarah, Vini. 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Program Coordinator63851410177025120
Workable
Program Coordinator
We are helping a client find a Program Coordinator to provide critical administrative and coordination support to maintain continuity in the University Research Partnerships (URP) team’s existing workflows. In this role, you will ensure day-to-day operations, documentation, communications, scheduling, and event planning are executed consistently and reliably while maintaining the high standards expected in a dynamic, high-visibility research program involving top North American universities. The ideal candidate is familiar with university research administration and academic business operations, including the ability to work effectively with faculty, sponsored programs offices, and decentralized administrative systems. Rate: $31 to $50 per hour Key Responsibilities Oversee day-to-day program operations, ensuring workflow continuity, timely communication, accurate documentation, and smooth coordination with internal and external stakeholders. Manage publication and intellectual property processes, including scheduling reviews, tracking submissions, communicating decisions, and maintaining award and recognition records. Support sponsorship activities by organizing meetings, tracking decisions, ensuring budget compliance, and coordinating deliverables for events. Provide high-level support to the Program Director through progress updates, preparation of briefings and presentations, and proactive resolution of potential blockers. Requirements 2 years + Experience working with or supporting university faculty, administrators, or sponsored research offices. Strong verbal and written communication skills, with the ability to synthesize discussions into clear summaries or next steps. Excellent organizational skills and attention to detail. Ability to identify and coordinate with stakeholders across departments (e.g., EAs, Facilities, Operations). Proficiency with Google Workspace (Docs, Slides, Sheets, Calendar) and project/task management tools (e.g., Asana, Slack). Ability to independently prioritize tasks and follow through in a dynamic, multi-stakeholder environment. Ability to ask thoughtful clarifying questions and document key information during onboarding.
Cambridge, MA, USA
$31-50/hour
Scientific Business Analyst, DMPK / Metabolite ID63848669522689121
Workable
Scientific Business Analyst, DMPK / Metabolite ID
Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.  TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.  It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.  Who You Are  You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in DMPK and Metabolite ID, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences.  You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.  This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry. What You Will Do  Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors. Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases. Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications. Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases. Workflow Documentation: Develop workflow diagrams, process mappings,, AS-IS/TO-BE workflows, and ontology definitions. AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings. Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption. Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes. Requirements What You Have Done PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in DMPK / Metabolite ID including ADME (Absorption, Distribution, Metabolism, Excretion), PK/PD Modeling (NONMEM, Phoenix WinNonlin), In vitro / In vivo Studies (microsomes, hepatocytes, animal models), Bioanalytical LC-MS/MS, and CYP450 Enzyme Profiling & Metabolite Identification Proven track record of defining and implementing AI/ML-driven use cases in productized environments to support DMPK and Metabolite ID efforts. Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities  Advised scientists in a consulting capacity to further research, development, and quality testing outcomes. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching
Cambridge, MA, USA
Scientific Business Analyst, Medicinal Chemistry63848669563395122
Workable
Scientific Business Analyst, Medicinal Chemistry
Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.  TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom We are committed to accelerating discovery and development by engineering liquid, contextualized, FAIR data, and enabling AI-native scientific outcomes. Our Scientific Business Analysts (Sciborgs) are a bridge between scientists and data engineers, translating complex R&D requirements into actionable data and AI solutions that transform how science is done. As part of our high-profile partnership with a top pharma company, we are building a team of chemistry-focused Sciborgs who will bring domain expertise in medicinal chemistry, synthetic chemistry, and DMPK/metabolite ID to the forefront of scientific data transformation In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.  It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.  Who You Are  We are seeking a Scientific Business Analyst – Medicinal Chemistry with a strong foundation in synthetic or medicinal chemistry and experience working with data platforms, cheminformatics tools, and workflow automation. This role is ideal for someone who has:  Been at the bench or in a med chem team, has curated or managed chemical/assay data, and is excited to translate scientific requirements into technical specifications for data architects, engineers, and AI teams. You will work directly with our partner’s scientists and TetraScience’s engineering teams to harmonize, contextualize, and enable advanced analytics on critical chemistry and DMPK datasets. What You'll Do  Serve as the bridge between medicinal chemists/DMPK scientists and technical teams, gathering requirements and translating them into clear specifications for data engineers and AI solution developers. Partner with our partner’s med chem teams on DMTA (design-make-test-analyze) cycles, ensuring scientific data flows seamlessly between compound design, assay results, and decision-making workflows. Map and harmonize scientific data across key platforms: LiveDesign (Schrödinger) for compound design and tracking.D360 for SAR analysis, data visualization, and activity cliffs. KNIME for no-code workflow automation and plate map generation. Internal databases (grdb) and other informatics tools. Identify and resolve data comparability challenges across sites/vendors (e.g., assay reproducibility, sequential vs. parallel execution). Collaborate with upstream (biology/target validation) and downstream (DMPK, safety, analytical) functions to ensure chemistry data is contextualized for cross-domain integration. Support adoption of new tools and platforms (e.g., CDD Vault, StarDrop, Genedata, Pipeline Pilot, Spotfire) by defining requirements, building prototypes, and driving user feedback loops. Develop user stories, workflows, and data models that guide engineering teams in building scalable solutions for chemistry data and AI/ML applications. What You Bring PhD or MS in Organic Chemistry, Medicinal Chemistry, or related field with 3+ years of post-graduate industry experience (med chem, DMPK, or analytical). Hands-on experience in synthetic chemistry or medicinal chemistry with exposure to DMTA workflows and data-driven decision-making. Familiarity with cheminformatics and scientific data tools such as LiveDesign, D360, KNIME, Pipeline Pilot, Spotfire, CDD Vault, StarDrop, Genedata. Ability to understand and communicate both scientific and technical concepts, including assay design, SAR analysis, plate-based workflows, and LC-MS data. Strong skills in data curation, pipeline development, and workflow automation; exposure to SQL or Python preferred. Excellent problem-solving and communication skills; able to partner with both bench scientists and data engineers. Passion for enabling AI/ML solutions in drug discovery and development. Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible. Ability to  engage diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities  Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes. Why Tetrascience Join a mission-driven company transforming the scientific data ecosystem. Be part of a high-impact partnership with a top 25 pharma, helping to shape how modern medicinal chemistry integrates with AI. Collaborate with world-class scientists, engineers, and AI experts. Competitive compensation, comprehensive benefits, and career growth opportunities. Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote working opportunities, when not at customer sites Company paid Life Insurance, LTD/STD A culture of continuous improvement where you can grow your career and get coaching
Cambridge, MA, USA
Consultant Strategy - US Healthcare63847073388801123
Workable
Consultant Strategy - US Healthcare
*Please note this role is not for 2070 Health* About Decimal Health Decimal.Health is a boutique digital health innovation consultancy and venture studio. We are a clinician-led company with over two decades of experience in digital health. As consultants we craft bespoke strategies for clients in the healthcare sector, and as a studio we spine out companies – from research labs of a hospital to commercial ventures with a hospital. We pride ourselves on our nimble approach that connects strategy with action, going deeper than traditional consulting firms by leveraging our real-world experience to ensure practical and impactful solutions.  We are seeking a highly skilled and motivated Strategy Consultant to join our health system advisory & studio team, specializing in the U.S. healthcare sector. The ideal candidate will have extensive experience in digital health, a robust background in primary and secondary research, and exceptional client management skills. This role is pivotal in driving strategy engagements and leading day-to-day project activities for startups, health systems, and other Fortune 500 clients. Requirements Key Responsibilities Partner with healthcare clients to identify challenges, define objectives, and develop tailored solutions in areas such as digital innovation, product-market  fit for clinical use cases, market growth, patient experience and operational efficiency – that have the commercial potential and can be spun out as independent companies Lead and execute end-to-end project lifecycles, including discovery, analysis, strategy development, implementation, and evaluation. Analyse qualitative, quantitative to identify industry trends, market opportunities, and competitive landscapes. Facilitate client workshops, stakeholder interviews, and cross-functional team meetings to gather insights and build consensus. Prepare and deliver compelling presentations, reports, and strategic recommendations to senior client leadership. Collaborate with internal teams to develop innovative frameworks, methodologies, and tools that address evolving industry challenges. Stay informed on the latest advancements in digital health technologies and regulations. Has the know-how of building financial models – valuations, use of funds for investment in these spin-outs. Qualifications Education: Bachelor’s degree in Business Administration, Public Health, Health Administration, or a related field; or a Master’s degree with relevant experience. Experience: Minimum of 4-5 years of experience in a healthcare or management consulting. Strong grasp of the U.S. healthcare system, payment models, and the digital health landscape. Experience in product is highly desirable. Desired Skills Strong project management capabilities with the ability to set objectives aligned with organizational goals and ability to meet deadlines. Excellent oral and written communication skills with strong executive presence. Proven analytical skills with a structured approach to problem-solving. Ability to thrive in a fast-paced environment while maintaining attention to detail. Desired Attributes A proactive problem-solver who thrives in ambiguous environments. Passionate about improving healthcare delivery and patient outcomes. Strong interpersonal skills with a collaborative approach to teamwork. Self-starter with a strong work ethic. Benefits Why work with us? This role offers an exciting opportunity for an Associate Consultant to make a meaningful impact in the healthcare sector while developing their skills in a dynamic environment. You will work side by side with some of the smartest minds in this space like Ann, Sarah, Vini. If you are driven by a desire to contribute to innovative healthcare solutions, we encourage you to apply!
Boston, MA, USA
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