Role Description We are seeking a Computer Science researcher to work with the Energy Systems Analysis Group in the Andlinger Center for Energy and the Environment to convert a thesis study into a submission-ready journal article for a leading energy or interdisciplinary journal. The role is designed for the opportunity to translate a strong thesis into a high-impact academic publication. The thesis develops CADENCE (Capital-Aware Deployment of Energy Networks with Coordinated Estimation), an extension of Princeton’s Net-Zero X framework. It introduces a computational approach—using a Directed Acyclic Graph and Critical Path Method—to incorporate real-world deployment frictions, including: - Interdependencies - Capital discipline - Stochastic timelines - Project abandonment The results highlight how coordination and sequencing constraints can materially limit clean energy deployment. Working closely with Senior Research Scientist Chris Greig, the researcher will: - Refine the thesis into a concise and compelling journal manuscript. - Restructure the narrative. - Sharpen the statement of novelty and contribution. - Tighten the methodological exposition. - Improve the presentation of results and figures. - Undertake limited additional analysis to address robustness and anticipated reviewer questions. This is a short-term, intensive collaboration with clear co-authorship and submission goals, suited to a candidate interested in research, publication, or graduate study. The position may be remote. Qualifications - Strong related research background. - Enjoy working in teams. Requirements - Work pays $21.00/hour. - Entry Level experience. Benefits - Comprehensive benefit program to eligible employees.

Role Description We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The UM Analytics team provides data-driven insights that directly influence clinical and operational decision-making across Aetna's Utilization Management organization. We partner with Medical Affairs leadership, Medical Directors, and operational teams to evaluate care models, identify cost and quality improvement opportunities, and translate complex healthcare data into actionable recommendations. This Lead Decision Scientist will be embedded within the Medical Affairs analytics pod, serving as the primary analytics partner for care model leadership and clinical stakeholders. You will own the end-to-end analytics lifecycle — from intake and problem framing through data extraction, analysis, insight generation, and stakeholder presentation — for a portfolio of Medical Affairs projects. This is not a "run-the-report" role: you will be expected to proactively identify opportunities, shape the analytical agenda, and drive projects to completion, ensuring that insights translate into measurable business and clinical outcomes. You will work closely with Medical Directors, care model leads, and cross-functional operational teams to prioritize, scope, and deliver high-impact analyses spanning areas such as: - Care model performance evaluation - Clinical program effectiveness - Utilization trend analysis - Exploratory research to support new initiatives Qualifications - 7+ years of professional experience in data analytics, decision science, or a quantitative analytics role - 3+ years of experience working with healthcare data (claims, clinical, enrollment, or similar) - Advanced proficiency in SQL, including complex query design across large-scale datasets (e.g., BigQuery, Teradata, or similar enterprise data platforms) - Demonstrated experience leading analytics projects end-to-end — from stakeholder problem definition through final deliverable and recommendation - Experience building dashboards, reports, or data visualizations using tools such as Tableau, Power BI, Looker, or similar - Track record of presenting analytical findings and recommendations to senior leadership or cross-functional business partners - Proficiency in at least one programming language for data analysis (Python or R) - Experience working in a matrixed environment with multiple concurrent stakeholder groups Requirements - Strong understanding of managed care, utilization management, or health plan operations (e.g., familiarity with concepts such as DRG, clinical claim review, care model design, or medical policy) - Ability to translate ambiguous business questions into structured analytical frameworks without heavy direction - Proven ability to push projects forward independently — proactively managing timelines, escalating blockers, and driving stakeholders toward decisions - Excellent communication and storytelling skills — can distill complex analytical findings into clear, concise narratives for both technical and non-technical audiences, including Medical Directors and operational leaders - Strong consultative mindset — comfortable pushing back on requests to reframe problems, prioritize effectively, and ensure the right questions are being asked - Experience mentoring or guiding junior analysts on analytical methodology and professional development - Familiarity with statistical modeling, A/B testing, or causal inference methods applied to healthcare program evaluation - Comfort working with ambiguity and evolving priorities in a fast-paced environment Education - Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, Public Health, Health Informatics, or related quantitative discipline - Master's degree preferred Pay Range The typical pay range for this role is: $130,295.00 - $260,590.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Benefits - Comprehensive and competitive mix of pay and benefits - Medical, dental, and vision coverage - Paid time off - Retirement savings options - Wellness programs - Other resources, based on eligibility Company Description Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Role Description At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. As a USP Field Application Scientist (FAS) within the BioProduction Group, you will serve as a bioprocessing domain expert—helping biotechnology and biopharmaceutical customers accelerate technology adoption, process design, and optimization across upstream workflows. You will engage customers on a peer-to-peer, application-focused basis, providing technical leadership and process insight before, during, and after the sale. Acting as both a trusted advisor and problem solver, you will ensure customers achieve compliance, speed, and performance using Thermo Fisher Scientific solutions while helping shape our future innovations through Voice of Customer (VOC). Location: This is a remote customer-facing position covering a Massachusetts territory. Residency in either Massachusetts, Rhode Island, New Hampshire, or Connecticut is required. No relocation assistance is provided. What You Will Do - Serve as a technical expert and consultant, applying deep bioprocessing knowledge across upstream processing and single-use technologies. - Engage customers peer-to-peer to support process development, optimization, and technology integration across upstream workflows. - Lead pre- and post-sales technical activities, including product evaluations, proof-of-principle (PoP) studies, demos, pilot runs, and technology qualification in regulated environments. - Provide comprehensive troubleshooting as the entry point for quality and performance issues, collaborating with Quality, Field Service, and Technical Support to ensure fast, compliant resolution. - Deliver technical training for both internal and external audiences—covering process scientists, engineers, and operators—to build capability and confidence in Thermo Fisher systems. - Conduct workflow consulting and GEMBA walks at customer sites to identify process improvement opportunities and align solutions with operational goals. - Support Bioprocessing Development Center (BDC) activities and on-site demonstrations, ensuring consistent messaging and technical excellence. - Develop and implement adoption plans with measurable achievements (e.g., time-to-first-run, time-to-first-GMP lot) and conduct follow-up utilization reviews. - Document all activities in CRM/SFDC, maintaining accurate technical engagement records, win plans, and risk mitigation plans. - Collaborate cross-functionally with Account Managers, Field Service Engineers, Technical Support, Product Management, R&D, and Quality/Regulatory to deliver seamless end-to-end outcomes. - Gather and communicate the Voice of Customer (VOC) to inform product roadmaps, feature development, and best-practice content (application notes, white papers, and case studies). - Represent Thermo Fisher Scientific at industry events—including conferences, workshops, and webinars—by delivering workflow-based technical presentations and thought leadership. Qualifications - BSc/MSc/PhD in Chemical Engineering, Biochemical Engineering, Bioengineering, Biotechnology, or a related discipline (or equivalent bioprocessing experience). - 5+ years of hands-on experience in bioprocessing (Process Development, MSAT, or cGMP Manufacturing) with proficiency in at least one of the following: - Single-use bioreactors (5–2,000 L+), cell culture, or perfusion systems. - Proven record of technical engagement and process troubleshooting in Process Development and cGMP environments. - Experience supporting scale-up, tech transfer, and process optimization projects from development to manufacturing. Requirements - Deep understanding of bioprocessing workflows, cGMP principles, and regulatory expectations (FDA, EMA, Annex 1). - Ability to interpret URS, P&IDs, batch records, and qualification protocols; comfortable with automation systems and process control HMIs. - Skilled in process design, optimization, and workflow consulting, using data-driven analysis to identify improvements. - Familiarity with PAT tools, DoE, and QbD principles (ICH Q8/9/10). - Knowledge of ASME-BPE standards and risk-based extractables/leachables evaluations for single-use systems. - Proficient in data analysis tools (Excel, JMP; scripting a plus) and technical writing. - Strong communication, problem-solving, and influencing skills; effective in multi-functional collaboration. - Experience using Salesforce.com (SFDC CRM) for opportunity and activity tracking. - Demonstrates Thermo Fisher Scientific’s Four I’s values: Integrity, Intensity, Innovation, and Involvement. - Field travel of up to 50% (2 weeks out of a month) is required. Benefits - The salary range estimated for this position based in Massachusetts is $84,000.00–$125,000.00. - This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. - We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: - A choice of national medical and dental plans, and a national vision plan, including health incentive programs. - Employee assistance and family support programs, including commuter benefits and tuition reimbursement. - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy. - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan. - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount.

Role Description Nosso papel é ajudar as diversas áreas do isaac resolvendo problemas munidos de forte contexto do negócio e conectando com o mundo dados. Decision Scientists são pessoas que têm um perfil analítico e conseguem passar por todos os estágios como: - Identificar problemas - Levantar hipóteses - Estruturar soluções - Traduzir números em decisões que afetam diretamente diversas áreas de negócios Dentro da estrutura de rentabilidade, nosso papel é apontar o caminho mais eficiente e escalável para alcançarmos nossos objetivos e garantir a sustentabilidade financeira do isaac. Dentro do time de portfólio, somos responsáveis por mensurar e projetar o risco da nossa carteira, desdobrando os resultados das nossas análises para os demais times de rentabilidade em metas palpáveis e insights claros. Nossa rotina inclui construir diversos relatórios para alta liderança isaac e Arco sobre nosso negócio, trazendo aprendizados e perspectivas para nossa rentabilidade. No dia a dia você irá: - Identificar e estruturar um problema - Levantar hipóteses - Analisar os dados para validar hipóteses e ter embasamento na tomada de decisão - Tomar decisões com riscos calculados - Formular políticas para o negócio - Monitorar experimentos, implementação e resultados - Criticar números e decisões sendo um guardião de uma cultura de decisões baseadas em dados - Comunicar suas descobertas para lideranças e apoiar as diferentes áreas de negócios em decisões estratégicas - Trabalhar no seu dia a dia com uma diversidade de temas e pessoas com diferentes backgrounds Qualifications - Capacidade de estruturar e resolver problemas complexos - Alta capacidade analítica - Noção sobre negócios - Vontade de aprender sempre - Saber trabalhar bem em equipes diversas - Boa habilidade de comunicação Requirements Aqui não exigimos que os analistas tenham profundo conhecimento em Data Science, mas antes de se aplicar a essa vaga, é importante saber que ferramentas para manipulação de dados serão viabilizadores do seu trabalho no isaac. - Conhecimento de algumas linguagens de programação para algoritmos de data science (em especial Python) - Conhecimentos de estatística como Sample Sizing, Teste de Hipótese, etc. - Conhecimento em ferramentas de visualização de dados como Metabase, Looker, Superset, etc. Benefits - Auxílio alimentação e/ou refeição - Plano de saúde e odontológico - Vale transporte - Licença maternidade e paternidade estendida - Auxílio creche - Cuidado com a saúde: parceria com a Wellhub e Zenklub - Incentivo à educação - Desconto em passagens aéreas - Parceria com plano de saúde para Pet - Acesso aos materiais didáticos Arco para filhos de colaboradores - Parcerias para MBA e Pós Graduação