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Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI) , you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application : sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You’ll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real , measurable impact on people’s lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission-driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.

At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape. About the Role: We are seeking a skilled and detail-oriented Data Center Electrical Engineer to join our infrastructure team. In this role, you will be responsible for the design, operation, maintenance, and continuous improvement of electrical systems supporting mission-critical data center environments. This includes power distribution systems, UPS, generators, switchgear, and related infrastructure to ensure optimal uptime and operational efficiency. The ideal candidate will have experience in large-scale electrical systems, strong troubleshooting abilities, and a deep understanding of reliability engineering in high-availability environments. You will collaborate with facilities, construction, and IT teams to support both new builds and existing operations across multiple data centers. Responsibilities: Design and review electrical systems to support data center operations, including power distribution, redundancy, and fault tolerance. Oversee installation, testing, and commissioning of electrical infrastructure. Monitor system performance and respond to power-related issues and outages. Ensure compliance with safety standards, codes (e.g., NEC, NFPA), and company policies. Conduct root cause analysis of electrical failures and implement corrective/preventive measures. Support capacity planning and risk assessments for electrical systems. Maintain accurate documentation of electrical systems and schematics. Essential Skills & Qualifications: Bachelor’s degree in Electrical Engineering or related field (PE license preferred). 3–7+ years of experience in electrical engineering, preferably within mission-critical environments. Proficiency with electrical modeling software and AutoCAD. Strong understanding of power systems, grounding, coordination studies, and electrical safety. Experience with UPS, switchgear, backup generators, PDUs, and BMS systems. Excellent communication, organizational, and problem-solving skills. We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing. What We Bring: In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Stock Options 100% paid Medical, Dental, and Vision insurance Life and Voluntary Supplemental Insurance Short Term Disability Insurance Flexible Spending Account 401(k) Flexible PTO Paid Holidays Parental Leave Mental Health Benefits through Spring Health

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. This role is not eligible for employment visa sponsorship POSITION TITLE Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. YOUR ROLE The Life, Annuity and Long Term Care Data solutions team which is responsible for the end to end data architecture, data governance and data engineering scope from source systems to data consumers is seeking a Principal Level Data Engineer. This role will lead, mentor, and assist team members in the software development lifecycle process from design, build, test, and run responsibilities. The candidate will be joining a high-performing team that is passionate and motivated to address internal and external customer needs. The anticipated team size is twenty-five individuals, organized into four agile teams consisting of various roles such as data product owner, agile leader, data engineers, data governance analysts, data modelers, testers, and production operation personnel. You will be working closely with the agile leader, data product owner, principal architect, and other functional leads from security, cloud, testing and data modeling. The core architecture of the platform is a modern streaming for transaction level performance and analytical pipelines with the medallion and OneLake architecture. The top opportunity for this position involves overseeing the implementation of a new architecture designed to replace the majority of current analytical platforms and data processes. What you will be doing Designing, building, testing, and production support of analytical pipelines Implementing DataBricks streaming and analytical data processes Leading design and coding standards including code reviews Building and re-using data tests for subsequent releases Delta tables with streaming pipelines including APIs for UX consumption Spark performance optimization including cluster and coding optimization methods Production monitoring and defect resolution CI/CD implementation in analytical pipelines Capable of performing POCs to demonstrate the utility of new coding, DataBricks or other platform features such as AI programming and testing code generation. What you bring Capable of influencing other technical leaders and teams to align to common practices, frameworks, and tool usage patterns. Capable of being proactive with business leadership on solution options and recommendations that address their requirements including how business data self service data processes are integrated into the architecture. Experience using Agile methodologies and creating good stories that complete a solution Capable of performing software engineering disciplines from design, build, testing and production support. Capable of leading technical projects and decomposing work across team members. Ability to mentor and develop other data professionals so they can grow and advance. Comfortable dealing with ambiguity where you influence or drive the process Nice to have Insurance business process and data expertise Medical data knowledge Data governance data needed by business consumers coming from the data pipelines you lead Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. Competitive Compensation & Total Rewards Incentives Comprehensive Healthcare Coverage Multiple 401(k) Savings Plan Options Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave Disability, Life, and Long Term Care Insurance Tuition Reimbursement, Student Loan Repayment and Training & Certification Support Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) Caregiver and Mental Health Support Services The base salary pay range for this role starts at a minimum rate of $ 120,000 up to the maximum of $200,000. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 15% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page . Role: Functional Data Domain Lead - Insurance Experience Level: 12+ years of experience Employment Type: Full-Time Work Location: Boston, MA Role Overview: Quantiphi is seeking a Functional Data Domain Lead – Insurance to oversee the design, governance, and enablement of high-quality insurance data across the enterprise. This individual will work cross-functionally with business, actuarial, finance, and technology teams to ensure that data related to policies, claims, underwriting, and reinsurance is accurate, consistent, and effectively leveraged for analytics, reporting, and strategic decision-making. The ideal candidate brings deep domain expertise in insurance data management, a strong understanding of the insurance value chain, and a proven ability to bridge business and technology to deliver impactful data-driven outcomes. Key Responsibilities: Lead and manage end-to-end insurance data management processes, ensuring data integrity, accessibility, and compliance with organizational and regulatory standards. Partner with Insurance, Actuarial, and Finance teams to understand data needs, pain points, and use cases across the insurance value chain. Collaborate with IT, Data Engineering, and Architecture teams to design and implement scalable, enterprise-grade data solutions aligned with business strategies. Define and implement data standards, governance policies, and quality frameworks for insurance data domains. Contribute to the development of a technology and data roadmap that supports future insurance business capabilities, reporting, and analytics needs. Partner with analytics and reporting teams to enable business insights and ensure consistent metric definitions across products and lines of business. Stay informed on emerging technologies and best practices in insurance data management, including AI, predictive analytics, and cloud-based data platforms. Communicate effectively with business and technology stakeholders regarding project progress, milestones, risks, and dependencies. Apply strong analytical and problem-solving skills to interpret complex insurance data and enable data-driven decision-making. Manage competing priorities and deliver results in a dynamic and evolving business environment. Act as a domain expert, advising on product features, riders, pricing reserves, financial reporting, and hedging strategies. Possess hands-on experience with querying and analyzing data using SQL (or equivalent query languages) to explore, validate, and troubleshoot data issues independently. Demonstrate excellent communication and stakeholder management skills. Basic Qualifications: Bachelor’s degree in Actuarial Science, Data Management, Computer Science, or a related field (or equivalent experience). Minimum of 12+ years of relevant professional experience in insurance data management or related functions. Strong understanding of insurance data domains, including policy, claims, underwriting, and reinsurance. Proven experience leading insurance data integration, data governance, and quality initiatives. Proficiency with SQL and experience analyzing large, complex datasets. Excellent communication, leadership, and analytical problem-solving skills. Other Qualifications: Strong background in statistical analysis, machine learning, and data visualization. Experience with data warehouse and business intelligence initiatives. Experience with core insurance systems such as MG-ALFA. Knowledge of regulatory and statutory reporting requirements (STAT, GAAP, IFRS, etc.). Familiarity with actuarial modeling tools and insurance financial reporting processes. What’s in it for YOU at Quantiphi: Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

Job Description General/Position Summary Vertex is in an exciting time of growth and innovation, and technology and data are valued as strategic assets. We’re seeking a visionary Director of Engineering and Data Governance to lead the strategy, planning, and governance of data and custom software solutions for our research, pre-clinical teams, and manufacturing teams. Reporting to the Sr. Director of DSE (Data & Software Engineering) Governance, you will drive innovation, ensure data quality, and enable impactful research through cutting edge data & AI products. This is a high-visibility leadership role with significant influence on Vertex’s scientific and business outcomes. Your expertise in understanding engineering capabilities, managing engineering demand, estimating engineering projects, communicating project and function status, and driving governance and standards will be crucial in directing our engineering staff to deliver and support high value business-driven data and software at the right time, with approved resources, and with high quality. Key Duties & Responsibilities Partner with DTE Leadership to develop and execute data and analytics strategy aligned to the research and manufacturing business strategy and develop data and analytics roadmaps to enable the data strategy. Collaborate with cross-functional leaders to identify and deliver high-impact data and software solutions. Oversee the management, documentation, use, and quality assurance processes for prioritized data projects and data assets, including proprietary data sets, third party data, research and pre-clinical data. Establish and enforce data governance standards, frameworks and best practices. Collaborate with stakeholders to define project goals, deliverables, timelines, budgets, and resource requirements. Collaborate with resource managers to source, allocate and assign internal or contingent workers to project and operational activities Monitor project progress, manage risks, and communicate status to senior leadership. Collaborate with cross-functional DTE and business teams, including portfolio management, privacy, security, business engagement, DCS (Data and Computational Sciences), data science teams and HR to ensure data and software development needs are understood and solutions are aligned with prioritized business objectives. Foster a culture of innovation, continuous improvement, and accountability. Knowledge and Skills: Strong knowledge and experience with leading and managing data, AI/ML, reporting and analytics projects and assets for the research, pre-clinical, and manufacturing domains in the biopharmaceutical industry. Knowledge and experience in the research functional area and the related business processes and data. Strong understanding of data management, data governance, data architecture, software engineering, and cloud computing Strong communication and presentation skills, with the ability to communicate technical and non-technical topics to senior leaders and engineering teams. Proven ability to serve as a control function and enforce annual planning agreements by finding ways to say “yes” to prioritized commitments and “no” to lower priority requests Strong understanding and awareness of data privacy, data security and compliance to relevant rules including GxP regulations. Strong knowledge of modern technologies like AI/ML, LLMs, cloud computing, cybersecurity, data platforms like AWS, Snowflake and Databricks Strong project management and resource planning skills. Excellent communication and stakeholder management abilities. Experience with Agile methodologies. Education and Experience Bachelor's degree required (preferably in a technology or engineering discipline). 10+ years’ experience working in growing technology roles with at least 6 years in IT leadership positions. 6+ years’ experience in a similar governance, planning, or strategy role with a focus on bio pharma #LI-HYBRID Pay Range: $184,000 - $276,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid : work remotely up to two days per week; or select 2. On-Site : work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex 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, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. 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 make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

Job Description General Summary: Vertex is a global biotechnology company that invests in scientific innovation. The Digital, Technology and Engineering (DTE) Research, Pre-Clinical, Manufacturing & Supply (RPMS) Group’s mission is to improve the lives of patients through data, and technology innovation – with AI at the core of our transformation strategy. Vertex is in a transformational period where we are accelerating our capabilities, technology and data to augment our mission and enable Vertex to grow in scale; ensuring we remain on the forefront of science, medicine and technology. The Senior Director, Supply Chain Data & Technology will define, lead and execute the vision for how Vertex will revolutionize our global Supply Chain through AI, data science and technology solutions. You will champion the adoption of AI-driven approaches to optimize supply chain operations, drive predictive analytics, enable intelligent automation across clinical and commercial supply based upon a foundation of robust transactional systems to plan, track and action supply chain activities. Working with multiple Vertex business units, the Senior Director is accountable for the end-to-end Supply Chain experience worldwide, across a broad range of internal and external teams, partner companies and operating models, powering both clinical and commercial supply. The role is a critical part of the Data Technology & Engineering leadership community. The Senior Director will bring their multi-disciplinary expertise to orchestrate innovation with leaders across Supply Chain, finance, legal, data science and technology, including core disciplines in infrastructure, data and software engineering, data science, architecture, portfolio and security, to ensure coordinated transformation through smart, scalable solutions. Reporting directly to the VP RPMS, the dynamic and experienced Senior Director, Supply Chain Data & Technology will play a key role on the RPMS Leadership Team to drive our digital transformation initiatives across Research, Pre-clinical, Manufacturing and Supply Chain. Key Duties and Responsibilities Vision and Strategy Develops, articulates, and executes a clear vision for delivering AI-powered technology solutions for Supply Chain worldwide, internally and externally, across multiple business units, in alignment with Vertex’s strategic goals. Influences a broad internal and external landscape to cultivate a roadmap of opportunities to transform supply chain activities through cutting-edge AI technologies including generative and agentic AI, machine learning and data driven automation. Leads with agility to think strategically about planning, logistics, trade, business, product, and technical challenges simultaneously. Collaborates as a trusted partner to Supply Chain leadership to ensure technology strategies robustly accelerate portfolio and commercial goals and as key enablers of operational excellence. Operational Execution Specializes in driving transformative strategies that foster innovation, elevate organizational performance and drive growth. Leads in the identification of opportunities for innovation in delivery, evaluation of state-of-the-art AI (including generative AI and agentic AI), data product, data science, external and internal integrations, software, hardware and protocols, applicability and risks. Combines creativity, practicality and integrity to ensure technology solutions that are strategic, flexible, scalable, reusable and are achieved through the application of Vertex’s architectural principles, standards and governance. Leads with rigor and discipline maximizing fiscal, resource and operational effectiveness. Manages an effective and efficient technology operation that enhances Supply Chain at Vertex, ensuring stakeholders can depend on technology as a robust enabler of drug research and production whilst maximizing ROI. Partners effectively with suppliers ensuring effective delivery aligned to Vertex’s high expectations in compliance, quality and security. Leadership Leads and develops a high-performing, diverse team of professionals, fostering a culture of innovation, collaboration, and accountability. Creates a culture of inclusion, diversity, and equity where everyone can do their best work and feels valued. Aligns the Supply Chain technology team with enterprise priorities, ensuring data strategies drive business outcomes and regulatory compliance. Represent the Supply Chain technology organization in internal and external forums, advocating for its ability to achieve strategic goals and for innovation leadership. Required Education and Experience Bachelor’s degree in science, engineering, computer science or a related field 10+ years of experience in life sciences technology or related fields. Relevant experience in creating and applying technologies to solve computationally intensive and data intensive problems in Supply Chain, inclusive of 5+ years in a leadership role. Required Knowledge and Skills Extensive knowledge of global Supply Chain environments to effectively understand user needs. Extensive technical knowledge and experience across broad range of complex Supply Chain technology. Extensive experience in applying AI and machine learning to solve complex, data intensive problems in global Supply Chain environments. Experience with varied compute environments including distributed, cloud and high performance computing. Experience of successfully developing and implementing technology strategy; preferably within a complex pharmaceutical Supply Chain organization. Expertise in successful development and delivery of multiple complex technology development initiatives. Strong leadership and team-building skills, with demonstrated success in managing diverse teams and fostering high engagement. Excellent communication skills including the ability to produce strategic documents, present ideas and solutions to technical and non-technical audiences and all levels of the organization. A strong commitment to compliance and integrity in systems, processes, and actions, with a deep understanding of the biotech regulatory environment. Exceptional problem-solving and strategic thinking abilities, with a focus on driving innovation and operational excellence. Other Requirements Experience with enabling advanced technologies, such as AI and machine learning, through data engineering strategies is highly desirable. Advanced certifications in product, agile, software engineering, cloud technologies, or leadership. #LI-hybrid Pay Range: $236,000 - $354,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid : work remotely up to two days per week; or select 2. On-Site : work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex 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, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. 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 make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

About Gridware Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io . Role Description The Data Scientist, Fleet Health will be a key member of Gridware’s Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting potential installation performance, and establishing data-driven criteria for detecting and remediating device degradation. The ideal candidate will bring a strong foundation in applied machine learning and forecasting, comfort working with real-world sensor and fleet data, and a passion for scaling intelligent systems that power resilient clean energy infrastructure. You will work closely with engineering, operations, and product teams to apply insights that both optimize today’s fleet performance and inform the evolution of tomorrow’s solutions. Responsibilities Develop predictive and forecasting models to anticipate device health issues, solar availability, and connectivity performance, driving proactive interventions and deployment planning. Define, test, and refine health thresholds to classify degradations, detect regressions, and optimize fleet performance across diverse operating conditions. Design and evaluate statistical tests and simulations to measure impact, uncover downtime drivers, and identify optimization opportunities. Collaborate with engineering, fleet operations, and software teams to embed intelligence into automated monitoring and remediation pipelines at scale. Communicate insights and contribute to scalable fleet intelligence frameworks that support growth from tens of thousands to millions of devices. Required Skills Bachelor’s, Master’s degree, or PhD in Engineering, Statistics, Data Science, or a related quantitative field. 5+ years of applied experience in data science with large-scale, real-world systems (IoT, clean tech, connectivity, or related domains). Expertise in forecasting, anomaly detection, and predictive modeling, with experience handling time-series, sensor, or geospatial datasets. Proficiency in Python with scientific and ML libraries (NumPy, Pandas, SciPy, scikit-learn, Keras, PyTorch) and familiarity with data platforms (SQL, Spark, etc.). Strong communicator with the ability to design experiments, validate models, and translate technical findings into actionable insights for cross-functional teams. Bonus Skills Experience forecasting solar generation, connectivity performance, or energy resource availability. Exposure to distributed sensing systems in energy, seismic monitoring, aerospace, industrial IoT, or environmental science. Background in working with power-constrained, communication-constrained, or solar-powered devices. Experience scaling predictive systems across large and growing hardware fleets. $175,000 - $200,000 a year This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply! Benefits Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) Paid parental leave Alternating day off (every other Monday) “Off the Grid”, a two week per year paid break for all employees. Commuter allowance Company-paid training

Job Summary Ensure vendor data and Medline data are in sync by overseeing and analyzing dozens of different data points/reports. Routinely involves judgement calls, exercising discretion, and problem-solving skills that stem from vendor and customer-identified discrepancies. Requires a thorough understanding of several areas of the business that consistently leads to making decisions that have material financial implications. Job Description Responsibilities: Execute i tem creat ion (s) , subsequent maintenance , discontinu ation(s) , and r eactivation ( s ). C oordinate vendor mergers , analysis of daily discrepancy report(s), and investigate vendor file s/communications for needed changes . Oversee acquisition and base cost pricing with a high attention to detail . Reconcil e discrepancies that can hinder both vendor and customer relationships if not reconciled timely and/or communicated appropriately. Evaluate vendor adherence to distribution agreement(s), facilitate effective date negotiations when situations occur that may not be explicitly covered, a nd make formal recommendations to Vendor Relations on changes needed to avoid in the future. Analyze divisional reports and system data to identify product surplus. O btain authorization from vendor(s) to return and e xercise judgment in handling restocking fee negotiations to minimize divisional losses . Review portfolio analytics to submit process improvement recommendations to management for business impact . Maintain shared mailboxes and respond to requests in a timely manner . Submit assigned files and/or projects to management, vendor(s ) and/or internal team(s) within provided timelines. Establish and maintain a close working relationship with the following groups : Vendor Relations, Vend or Representatives, Quality, Finance [A/P] , Chargebacks, Contracts, Inventory Management an d other appropriate personnel . Required Experience: Education B achelor’s degree or equivalent professional experience in a related field Work Experience Experience working in a fast-paced environment, analyzing large data sets, and adhering to competing deadlines without compromising accuracy/quality. P rovid e customer service to internal and external requestors and manage workloads that necessitate portfolio-specific analytics to occur for departmental success and process improvement(s). Intermediate skill level in Microsoft Excel (ie: using SUM function, sort/filter, IF, VLOOKUP functions, Pivot tables). Basic skill level in Microsoft Word (ie: formatting, inserting headers, outlines/bullets, page breaks, pictures and charts) Intermediate skill level in Microsoft Outlook (ie: creating folders, categories, utilizing calendar, coordinating meetings) Preferred Qualifications: Bachelor’s degree . Advanced time management skill s to ensure daily work, discrepancies and/or projects are accomplished within given SLA’s . Experience building and maintaining relationships within and between teams /vendors . Advanced skill level in Microsoft Excel ( i.e. macros and advanced formulas ). Exposure/experience with SAP and/or Zendesk Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $23.25 - $32.50 Hourly The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We’re dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premium Option for Employee’s Medical, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

Who We Are Meeting Street Schools is a groundbreaking network of four South Carolina schools with a mission of “empowering children with the excellent, life-changing education they deserve.” We were founded in 2008 to give hard-working students the opportunity to receive an education that will transform their lives. We are ambitious in our commitment to families, and we expect the same in return. We value exceptional teaching, life-changing student achievement, innovation and a growth mindset, and gratitude and responsibility. Who We're Looking For We exist to change the status quo in education, and we seek individuals who strongly align with our mission. We look for those who refuse to compromise and see education as the gateway to opportunity. We hold high expectations for ourselves and our students. Our team strives to meet a bar of excellence, and we constantly challenge ourselves to get better and evolve our approach. High performers and leaders are encouraged to apply. The Role The Student Data Administrator ensures our schools run smoothly and our students are supported through meticulous data management and systems administration. As the go-to expert for student enrollment, attendance, and records systems, you’ll support school leaders with the real-time insights and reporting they need to make informed decisions. From ensuring accurate daily attendance to managing critical compliance reporting, your work will help us stay aligned with our goals and values every step of the way. This role is perfect for someone who is detail-obsessed, deeply organized, and sees data not just as numbers, but as a tool to drive excellence and student success. Core Responsibilities: Administer the Student Information System (SIS), providing user support and troubleshooting, while also managing other student data platforms such as discipline management databases Continuously refine and enhance systems to ensure optimal functionality, accuracy, and efficiency—supporting the operational excellence needed to drive student success Oversee the daily attendance process, including training teachers on the attendance taking process and attendance intervention procedures, and holding teachers accountable to those processes to ensure on time and accurate entry of attendance data Lead a precise, efficient attendance process with real-time reporting and regular audits to ensure data integrity and support school-wide accountability Oversee the enrollment processes, including new student enrollment, re-enrollment and withdrawals, ensuring compliance with deadlines Communicate and meet with student families to verify enrollment eligibility, including residency verification, income verification, and placement testing, as applicable Maintain highly organized, secure, and up-to-date physical and digital student records, ensuring seamless access, compliance, and data accuracy Deliver clear, actionable reports on student enrollment, behavior, and attendance to inform strategic decisions at both the school and network level Collaborate with the Director of Operations on ensuring compliance with Title 1 and all district, state, and federal regulations, including building maintenance, data management, accreditation standards, and district surveys Serve on the school’s Attendance Team, identifying at-risk students, and executing Attendance Intervention Plans Ensure the accuracy and timely submission of all state, federal, and district reports, as applicable Meet all compliance benchmarks with precision and timeliness, reflecting a deep commitment to excellence and accountability Support other initiatives of the school Operations team as needed. Act as a liaison between the school, district student data personnel (where applicable), and the MSS Network team Skills & Characteristics A commitment to the mission and core values of Meeting Street Schools and an unwavering belief that all students can and will succeed Strong project management skills with the ability to prioritize tasks and balance competing deadlines Excellent communication and interpersonal skills to collaborate effectively with team members, school leaders, and student families Strong problem-solving skills and the ability to work independently in a fast-paced environment Educational Background & Work Experience Bachelor’s degree in Data Analytics, Business Administration, or a related field preferred; equivalent experience may be considered Demonstrated expertise in information systems and data reporting Proficiency with G-suite and Microsoft Office Suite 5+ years of experience, or equivalent, in database management, with demonstrated expertise in building reports with actionable data Experience working in educational or nonprofit environments is a plus, including experience with Student Information Systems (i.e. Powerschool or equivalent) and knowledge of state and federal student education eligibility regulations and compliance The starting salary for the Student Data Manager position is between $60,000-$72,000, and is commensurate with experience. Additionally, Meeting Street Schools offers a comprehensive benefits package, including but not limited to: Health Insurance Dental Insurance Vision Insurance Pet Insurance Life Insurance and Disability Employee + Family Wellness Tax-Favored Spending Accounts (FSA/HSA) Retirement Plans _______________________________________________________________________________ Meeting Street Schools is an equal employment opportunity employer. Employment decisions are based on merit and business needs, and are not based on race, color, sex (including pregnancy, childbirth, and related medical conditions), citizenship status, national origin, ancestry, gender identity or expression, sexual orientation, age, religion, creed, physical or mental disability, marital status, veteran status, uniformed service, political affiliation, genetic information, or any other factor or characteristic protected by applicable law.

Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent, our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We’re looking for a Data Scientist with expertise in statistics and advanced machine learning to join our team. You’ll work on high-impact projects that combine advanced analytics, machine learning, and experimentation to drive smarter decisions across SPE’s production and content distribution businesses. What You’ll Do: • Explore and analyze large, complex datasets to uncover audience insights and optimize content adoption. • Build and deploy predictive models and advanced analytics that guide business and creative strategies.• Manage cleansing and feature extraction of large unstructured data and develop insights on top of it• Apply LLMs, prompt engineering, and fine-tuning to tasks such as text analysis, summarization, metadata enrichment, and content tagging• Partner with engineers to productionalize machine learning models and monitor performance.• Create clear, compelling visualizations and communicate insights to both technical and non-technical audiences.• Collaborate with cross-functional partners (marketing, distribution, strategy, finance) to translate data insights into real-world business actions.• Research and test emerging machine learning techniques to keep SPE at the cutting edge. • Champion data-driven decision making within the organization by presenting findings to senior leaders. • Stay at the forefront of data science research and tools, and champion adoption across the ISA team. What We’re Looking For: • Bachelor’s degree in a quantitative field (Statistics, Computer Science, Engineering, Math, etc.); advanced degree a plus.• 6+ years of applied experience in data science, analytics, or machine learning.• Proficiency in Python and SQL.• Expertise with statistical modeling and building predictive models.• In depth knowledge of machine learning techniques, variable reduction, feature importance, and model interpretability• Experience with MLOps practices — model lifecycle management, containerization, workflow orchestration (Airflow, Kubeflow).• Familiarity with generative AI (LLMs, prompt engineering, fine-tuning) and open-source frameworks (Hugging Face, LangChain, etc.).• Excellent communication skills — ability to turn complex data into actionable recommendations.• Highly analytical, results oriented, have superior organizational skills with strong attention to details and deadlines in a fast-moving environment Nice to have: • Experience in the media & entertainment industry.• Familiarity with data visualization tools (Tableau, Power BI, Dash, or Shiny).• Experience applying GenAI for audience research, recommendation systems, or content insights. Why Join Us: • Shape the future of entertainment — your work will directly influence how audiences around the world discover and enjoy Sony content.• Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges.• Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools.• Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $112K to $146K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally.Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. What can you expect in a “VP, Data Engineering & Architecture” role with TaskUs: We are seeking a hands-on Vice President of Data Engineering and Architecture to lead the strategy, design, and implementation of our enterprise data ecosystem. This person will define how data is structured, stored, and leveraged to drive analytics, automation, and AI initiatives across the organization. The ideal candidate will have deep expertise in architecting large-scale data warehouses and data lakes, with a strong command of OLAP and OLTP concepts. Key Responsibilities Data Architecture Leadership:Design and implement scalable, high-performance data architectures — including data warehouses (AWS Redshift, SQL Server) and structures and unstructured data lakes — that support enterprise analytics and operational excellence. End-to-End Data Engineering:Lead the design, development, and maintenance of reliable data pipelines and integration processes, ensuring data is accurate, consistent, and easily accessible across business functions. Performance Optimization:Apply expertise in OLAP and OLTP system design to optimize database and query performance for analytical and transactional workloads. Strategic Collaboration:Partner with automation, AI, and software development teams to align data systems with business needs and integrate them into intelligent workflows. Data Modeling & AI Enablement:Develop AI compatible data models that are efficient, scalable, and optimized for natural language querying, AI Integration and AI-driven analytics. Analytics Enablement:Empower business teams by ensuring clean, well-structured data for Power BI and other analytics tools, driving timely and data-informed decision-making. Data Governance & Quality:Establish robust data governance standards, metadata management, and quality frameworks to ensure data integrity and compliance.Operationalize a master data management framework including regular measurement and maintenance of data libraries and compliance to standards. Leadership & Team Development:Build and mentor a high-performing team of data engineers and architects, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field. 10+ years of experience in data engineering, architecture, or related fields. Proven experience designing and implementing large-scale data warehouses and data lakes using AWS Redshift and/or SQL Server. Strong understanding of OLAP and OLTP systems, data modeling, and database optimization. Advanced proficiency in SQL and enterprise data integration practices. Experience with Power BI or similar BI tools for enterprise reporting and visualization. Familiarity with AI/ML data preparation, semantic data modeling, and natural language query enablement is a strong plus. Excellent communication and stakeholder management skills, with the ability to bridge technical and business discussions. Demonstrated success working collaboratively with automation, analytics, and software development teams. How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. EEO: TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ .

Adonis is the leading AI Orchestration platform for healthcare payments, purpose-built for healthcare organizations seeking to transform their revenue operations. Adonis is headquartered in New York City, and raised $31 million in Series B financing in 2024. Our mission is to maximize revenue outcomes that enable healthcare providers to deliver the highest form of clinical care. Traditional Revenue Cycle Management processes often struggle with inefficiencies, costing providers up to 15% or more of their potential revenue. Adonis addresses these challenges by leveraging advanced automation, data science, and AI to create the infrastructure that RCM teams need to detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes. Whether identifying issues before they escalate, recommending tailored resolutions, or automating the deployment of those resolutions, Adonis creates a seamless, future-proofed approach to RCM. What You’ll Do Lead and Execute : Spearhead the Integrations Team in designing, developing, and scaling integrations with Electronic Health Records (EHRs) and other healthcare systems, fostering a strategic, long-term technical vision while ensuring robust execution capabilities. Technical Direction : Establish and guide the technical direction for integrations, including architectural decision-making, to guarantee scalable, efficient, and resilient solutions. Data Infrastructure : Architect and maintain reliable, scalable, and efficient data pipelines, ETLs, and ingestion systems. Develop and sustain a dynamic data infrastructure leveraging technologies such as Snowflake, SQL Mesh, Temporal (or similar orchestration frameworks), Python, AWS, and relational databases. Data Modeling : Implement sophisticated data modeling solutions, contributing to the Medallion architecture to ensure high-quality, accessible data insights across various systems. Stakeholder Management : Collaborate extensively with both internal and external stakeholders to gather requirements, communicate progress, and deliver exceptional integration solutions that meet complex healthcare needs. Project Management : Drive effective project management, emphasizing meaningful prioritization of tasks, balancing technical debt, new feature development, and stakeholder requirements. Team Growth : Lead initiatives to expand the team's capacity, including hiring and onboarding new talent. Mentor and develop team members, ensuring continuous technical excellence and fostering an environment of learning and growth. Who You Are: You possess a minimum of 5 years of experience in software engineering, with a specialization in data engineering, data modeling, and building systems integrations. You have extensive experience in leading engineering teams, with a primary focus on technical leadership and achieving successful project outcomes. You have in-depth knowledge of healthcare systems, particularly in working with EHRs and healthcare data management. You bring hands-on expertise with our technology stack: Snowflake, SQL Mesh, Temporal (or similar orchestration frameworks), Medallion architecture, Python, AWS, and relational databases. You have a proven track record in building and optimizing ETLs, data ingestion pipelines, and data transformation processes. You excel in managing relationships with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles. You demonstrate strong project management capabilities, with a talent for prioritizing and managing competing demands effectively. You thrive in a startup environment, exhibiting a capability for scaling teams and growing engineering processes in dynamic settings. You articulate complex technical ideas clearly to both technical and non-technical audiences. You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving. The base salary range for this position is $180,000 - $200,000 base salary. However, base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we also offer competitive equity and benefits packages. Perks at Adonis Competitive Equity Packages Employer paid medical insurance Employer paid dental insurance Employer paid vision insurance Employer funded HSA Parental Leave Commuter Benefits Office Lunches Everyday Office Snacks Generous PTO Located in 3 World Trade Center with easy access to all trains and the path, and amazing views of the city At Adonis, we’re super excited to have moved into a new office space. We are a hybrid company where our team members spend time in office, to enjoy the exciting perks that we have. Adonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. At Adonis, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.

Company Information: LINQX is an industry-leading provider of end-to-end digital solutions and analytics for the oil and gas sector, leveraging advanced data analytics to optimize engineering and operations​. Its cloud-based platforms deliver AI-driven insights that enhance reservoir performance and streamline workflows​​. Driven by a mission of data-driven innovation​, LINQX combines cutting-edge technology with oilfield expertise to deliver transformative results​. Website: https://linqx.io/ NOTE: THIS POSITION DOES NOT OFFER VISA SPONSOSHIP NOTE: THIS POSITION IS BASED ONSITE IN HOUSTON Position Summary: The Senior Data Engineer designs, builds, and operates cloud-scale data platforms and pipelines that power AI, analytics, ML, and data products across the business. This role partners with Product, Architecture, and Data Scientist to deliver secure, reliable, and cost-efficient batch and streaming data services on AWS/Azure. The engineer implements aligned with technical strategy for data modeling, orchestration, storage, and compute layers. The senior data engineer will also work directly with developers and architects from other product lines to enable integration and data strategies across products, mentoring and collaborating with teams on best practices in data engineering, reliability, and governance. Key Roles / Responsibilities: Lead the end-to-end design and implementation of enterprise data platforms (e.g., lakehouse, streaming, and “data hub” patterns); coordinate dependencies and integrations with product and enterprise systems. Provide technical leadership to internal and partner teams; plan scope, estimate effort, manage risks, and uphold delivery commitments. Coach engineers on data engineering standards, observability, and operational excellence; conduct design and code reviews. Define and evolve cloud data architecture (ingest, storage, compute, catalog, access) for both real-time and batch use cases; select services and patterns aligned to scalability, performance, and security requirements. Build robust data pipelines (ELT/ETL) using orchestration frameworks (e.g., Airflow, Dagster), event/stream platforms (e.g., Kafka/Kinesis/Event Hub/IoT Hub), and distributed processing (e.g., Spark/Databricks/Beam/Flink). Implement lakehouse/lake patterns with medallion layering, CDC, and schema evolution; operationalize quality gates, testing, and lineage. Establish SLOs for data freshness, availability, and quality; implement observability (metrics, logs, lineage) and on-call runbooks. Optimize cost/performance of storage and compute; manage capacity, autoscaling, and usage governance for data solutions Ensure privacy, security, and compliance (IAM, tokenization, row/column security, data retention); collaborate with enterprise security. Translate product and stakeholder requirements into data contracts and SLAs; document architecture and operational procedures. Evaluate emerging data technologies; create POVs and reference implementations. Anticipate future needs (multi-cloud, edge/IoT ingestion, vector/AI workloads) and create roadmaps and platform capabilities. Champion modernizing existng data architectures using current best practices: lakehouse, CDC, medallion layering, data mesh principles, and streaming. Strong software engineering in Python/SQL and one of Scala/Java; familiarity with REST/gRPC and microservices patterns. Expert with cloud data services (e.g., Azure Data Lake/Databricks/Synapse; or AWS S3/EMR/Glue/Redshift; or GCP BigQuery/Dataflow). Hands-on with distributed stores (e.g., Delta/Iceberg/Hudi; Kafka; Redis) and both SQL/NoSQL databases (e.g., Postgres, Cosmos/ DynamoDB, MongoDB, Cassandra). CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/Kubernetes), Infrastructure as Code (Terraform). Data governance and security (catalogs, lineage, RBAC/ABAC, encryption, key management). Exposure to or experience implementing real time systems, with IoT/hardware design preferred, within oil and gas industry a huge plus Excellent stakeholder communication; ability to translate business needs into scalable data solutions. Required Education, Experience, and Qualifications: Bachelor’s in computer science, Engineering, or related field (master’s preferred). 5–10+ years in data engineering or platform roles delivering enterprise-grade data systems (SaaS or large-scale internal platforms). 2+ years leading or building technical design/delivery for cloud data platforms at scale. Proven delivery of streaming and batch pipelines, lakehouse implementations, and production ML data flows. Experience operating data platforms with SLAs/SLOs, cost governance, and on-call ownership. Working Conditions: Prolonged periods sitting at a desk and working on a computer. Must be able to lift 15 pounds at times. Positions self to install equipment, including under desks. Moves throughout the building to access files. Must be able to comprehend and follow written and oral instructions. Must be able to complete tasks even with frequent interruptions. Must be able to use discretion and independent judgment as needed. Must be able to speak clearly on the phone and to fellow workers. This job description should not be interpreted as an exhaustive list of responsibilities or as an employment agreement between the employer and the employee. The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification and are subject to change as the needs of the employer and requirements of the job change. Any essential functions of this position will be evaluated as necessary should an employee/applicant be unable to perform the functions or requirements due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the employee/applicant when possible. I acknowledge that I have read and understand the description of this position and have had the opportunity to ask my supervisor about any points I did not understand. I hereby state that I can perform the essential functions of this position with or without reasonable accommodation. #LINQX#LI-AD1#LI-ONSITE

🚗 Why Jerry.ai Join a profitable pre-IPO startup with capital, traction, and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Work closely with brilliant leaders and teammates from companies like Amazon, Better, LinkedIn, McKinsey, BCG, Bain Disrupt a massive market and take us to a $10B business in the next few years Our growth is driven by forward-thinking technology: Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article Be immersed in a talent-dense environment and greatly accelerate your career growth Impact millions of users experience with car maintenance and auto insurance 💻 About the opportunity We are looking for a detail-obsessed Applied Data Scientist to join our growing team. The ideal candidate is passionate about the foundational layer of all data analysis: ensuring our data is clean, accurate, and reliable. You are a detective at heart, driven by a deep curiosity to understand complex data systems, and someone who finds immense satisfaction in transforming messy, ambiguous datasets into pristine assets that drive critical business decisions. This role is perfect for a scientist who wants to own the entire journey: from taking raw application data to generating clean inputs, to building models and delivering tangible value in real-world applications. You will be a central point of contact, communicating with engineers, product managers, and business analysts to ensure data integrity from collection to analysis. 🫵 How you will make an impact Model Ownership: Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges Data Quality: Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling. Proactively identify and handle missing values, outliers, and inconsistencies Problem Investigation: Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy Cross-Functional Collaboration: Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy and definition of our centralized feature store, ensuring it becomes the 'single source of truth' for all ML models Documentation: Create and maintain clear, authoritative documentation for data sources, cleaning processes, and variable definitions 🔎 Who You Are Obsessed with Details: You have an exceptional eye for detail and a low tolerance for errors. You believe that accuracy and precision are non-negotiable A Strategic Thinker: You can see the bigger picture and are passionate about building robust systems and processes that will stand the test of time Proactive & Persistent: You don't wait for problems to find you. You actively seek out data quality issues and are persistent in seeing an investigation through to its resolution. Curious & Adaptive: You are inherently curious and possess a strong desire to understand how things work. You're comfortable with ambiguity and skilled at breaking down complex problems 🚀 Requirements Education: Bachelor’s degree (PhD preferred) in a quantitative field (Statistics, Physics, Mathematics, etc.) Programming: Strong proficiency in Python (Pandas/NumPy) and SQL for complex querying and data manipulation Data Quality: Hands-on experience with data cleaning techniques and data validation frameworks Tooling: Familiarity with data visualization tools to help identify and communicate data issues While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

Position Overview TDS is currently seeking a dependable, adaptable and skilled individual possessing hands-on experience in fieldwork. This role entails supporting a diverse array of tasks related to deployment, including but not limited to the construction of containment structures, assembly of cable tray structures, installation of low voltage cabling, rack and stack operations, and labeling. Responsibilities Assist with the installation, testing and maintenance of low voltage cabling (Cat6, Fiber) Support the setup of data center infrastructure, including racks, cable management, and device mounting Perform labeling and basic troubleshooting tasks Collaborate with team members to ensure deployment tasks are completed on schedule Maintain a clean, organized, and safe work environment Execute miscellaneous physical tasks as required (e.g., moving equipment, staging gear, organizing supplies) Qualifications: OSHA 10/30 Certification. Demonstrated reliability and punctuality are essential. Ability to follow instructions and quickly adapt in the field. Scissor lift operator license is highly desirable. Experience with low voltage cabling (LVC) or data center operations is advantageous. Ability to lift and carry boxes up to 40lbs. Valid driver’s license and reliable transportation. For further details, please visit www.totaldeployment.com . Job Type: Temporary, 6-12 Weeks Pay: $25-$35 per hour Benefits: Competitive compensation with opportunities for advancement Training and development programs for motivated individuals Potential opportunity to join our travel team A supportive, team-oriented work environment Schedule: 8 AM - 5 PM, Monday through Friday. Please note that the schedule may fluctuate depending on client needs. Ability to Commute: Plano, TX (75023) Work Location: In-person

Company Description We are Olsson, a team-based, purpose-driven engineering and design firm. Our solutions improve communities, and our people make it possible. Our most meaningful asset is our people, and we are dedicated to providing an environment where they can continue to learn, grow, and thrive. Our entrepreneurial spirit is what has allowed us — and will continue to allow us — to grow. The result? Inspired people, amazing designs, and projects with purpose. Job Description Join our team for a unique opportunity working directly with one of the world's largest technology companies. As a BIM Coordinator, you will collaborate with our BIM team to maintain accurate Revit and CAD files, being the site-level contact for BIM content review, approval, management, and maintenance. Your responsibilities include playing a crucial part in coordinating the delivery and maintaining CAD/BIM content for data center projects, utilizing professional tools and processes to ensure accuracy and compliance. This role will require the ability to multitask and work well with our team and a variety of people. As a BIM Coordinator, you will also provide support to the CAD/BIM team during various project milestones and in a variety of ways based on current demand. You will lead closeout efforts, coordinate with stakeholders, perform model health checks, incorporate retrofit projects into existing models, and perform general model maintenance / drafting. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Ability to contribute and work well on a team Flexibility and desire to perform various tasks as needs change Excellent written and verbal communication skills and interpersonal skills Proficiency in Autodesk Revit, AutoCAD, Navisworks, and other relevant software tools Proven experience in BIM management and drafting Excellent project management skills, with the ability to prioritize tasks, manage deadlines, and work well within a team Detail-oriented mindset with a focus on delivering high-quality work and continuous improvement #LI-DD1 Additional Information Olsson is a nationally recognized, employee-owned firm specializing in planning and design, engineering, field services, environmental, and technology. Founded in 1956 on the very mindset that drives us today, we’re here to improve communities by making them more sustainable, better connected, and more efficient. Simply put, we work to leave the world better than we found it. As an Olsson employee, you’ll receive our traditional benefits package (health care, vision, dental, paid time off, etc.), plus you’ll: Engage in work that has a positive impact on communities Receive an excellent 401(k) match Participate in a wellness program promoting balanced lifestyles Benefit from a bonus system that rewards performance Have the possibility for flexible work arrangements Please note: The benefits listed above apply to full-time employees. If you're applying for an internship, you can learn more about internship-specific offerings and experiences at Olsson by visiting https://www.olsson.com/internships . Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Takeda Pharmaceuticals is seeking a strategic executive leader to join the R&D Digital, Data & Technology (DD&T) leadership team as Vice President, Data & AI Enablement. This pivotal role will define and drive Takeda’s R&D DD&T AI and data strategy, with a focus on transformative AI and digital technologies. The VP will serve as an inspiring strategic partner to senior leaders across R&D, provide technical leadership at the highest level, and build and develop a high-performing team from the ground up. As a key architect of digital and AI transformation, you will ensure that Takeda remains at the forefront of scientific innovation and operational excellence. This is a tremendous opportunity for a leader who thrives in a global, regulated pharmaceutical environment and is passionate about delivering impact at scale. Key Responsibilities: AI & Data Strategy: Develop and deliver a bold multi-year roadmap for AI and data enablement within R&D DDT, ensuring alignment with Takeda’s business priorities. Lead the adoption of generative AI, large language models, and advanced analytics to address complex scientific and operational challenges. Strategic Partnership & Influence: Serve as a trusted advisor and strategic partner to senior leaders across R&D, clinical, regulatory, and commercial functions. Inspire alignment and engagement around the DDT transformation agenda, translating complex technical concepts into actionable strategies that support Takeda’s broader R&D objectives. Technical Leadership: Provide expert guidance and oversight for the design, development, and deployment of advanced AI, machine learning, and data platforms. Ensure technical excellence and operational reliability in all digital and AI initiatives, setting the standard for innovation and delivery within Takeda’s R&D DDT organization. Champion the integration of emerging technologies, ensuring operational reliability, scalability, and continuous improvement. Team Building & Talent Development: Build, lead, and mentor a world-class team of data scientists, AI engineers, software developers, and domain experts. Establish a collaborative, high-performance culture that attracts and develops top talent, enabling the team to deliver on ambitious goals and drive sustained success. Operational Excellence & Technology Integration: Oversee the implementation and scaling of emerging technologies, ensuring robust delivery and integration into research, clinical, and regulatory domains. Drive operational efficiency, reliability, and compliance in all AI and digital initiatives. Accountability for defining or providing measurable and significant input into and operational direction and strategy for R&D, as well as for successfully integrating these activities with those within Takeda overall. Data Ecosystem Stewardship: Lead the development of secure, scalable data platforms that enable seamless access, integration, and thorough utilization of Takeda’s R&D data assets. Champion the use and reuse of data as a strategic currency to drive scientific discovery, accelerate innovation, and unlock new insights across research and clinical domains. Empower teams to leverage AI-powered analytics for deep exploration, hypothesis generation, and evidence-based decision-making, ensuring data is actively harnessed to advance Takeda’s scientific and therapeutic ambitions. Governance & Compliance: Ensure all data and AI initiatives within R&D DDT adhere to global regulatory standards (e.g., HIPAA, GxP), ethical guidelines, and Takeda’s commitment to patient privacy and data integrity. Measurement, Reporting & Accountability: Define and track key performance indicators (KPIs) to measure the impact of AI, data, and digital initiatives. Ensure accountability for delivering measurable business value and continuous improvement. External Engagement & Thought Leadership: Represent Takeda as a thought leader in the external community. Build strategic partnerships with technology vendors, academic institutions, and industry consortia. Present at key conferences and contribute to advancing Takeda’s reputation in AI and digital innovation. Qualifications: Education: PhD or equivalent in Data Science, Computer Science, Artificial Intelligence, Engineering, Bioinformatics, Computational Biology, or related discipline. MBA or advanced business training preferred. Experience: 18+ years of progressive leadership in digital, data, technology, or R&D roles within global pharmaceutical, biotechnology, or healthcare organizations. Proven track record of delivering enterprise-scale AI and digital solutions in large, regulated environments. Demonstrated success in building and scaling high-performing teams from inception. Experience leading large, diverse, and geographically distributed teams in matrixed organizations. Deep expertise in emerging technologies (LLMs, generative AI, NLP, advanced analytics) and their application to drug discovery, clinical development, and regulatory science. Leadership & Influence: Strategic thinker with a focus on operational excellence, talent development, and inclusive leadership. Ability to inspire, influence, and align senior leaders across functions and geographies. Strong executive presence, communication, and stakeholder management skills. Personal Attributes: Results-driven, pragmatic, and resilient. Commitment to Takeda’s values and mission to improve patient lives. High integrity and adaptability in a complex, fast-paced environment. Why Takeda? This is a tremendous opportunity to lead the AI and digital transformation of Takeda’s R&D DDT organization, driving strategic execution and delivering impact at scale. You will join a company deeply committed to its values—integrity, fairness, honesty, and perseverance—and a culture that prioritizes collaboration, inclusion, and continuous learning. At Takeda, you’ll be empowered to make a meaningful difference for patients worldwide, working alongside passionate colleagues who share a dedication to scientific excellence and innovation in pharmaceutical R&D. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $255,800.00 - $401,940.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Project Management Specialist- Contractual & Data Services Company: The Boeing Company Boeing Commercial Airplanes (BCA) is looking for a Contractual & Data Services- Project Management Specialist Level 2 to join our team and provide published, production and delivery services for technical products in support of commercial aircraft. Position Responsibilities: Determines document and technical data release requirements based on customer type and contract guidelines. Assists with customer reviews to identify baseline data deliverables and optional product offerings. Responds and resolves customer data inquires. Processes customer data orders and resolves delivery issues. Administers customer access to online technical content. Work directly with Engineering to establish level of effort on engineering analysis. Prepares contracts, pricing quotes and scheduling requirements. Applicable and appropriate credentials from an accredited institution and/or equivalent experience is required. Supports implementation of new projects and policies. Coordinating across the Customer Support & Engineering organization. Respond to internal and external customer queries concerning products and services provided Monitors and complies with program directives, sales orders, or other requests to ensure external customer contractual agreements are met. Releases final products in digital format or other formats per contract requirements. Coordinates with customers to resolve post-delivery issues. Works under limited supervision. Basic Qualifications (Required Skills/Experience): 3+ years of experience in a customer support role. Must be willing to support a 24x7 team and work any day/shift as the business needs. Preferred Qualifications (Desired Skills/Experience): Bachelor’s Degree Strong verbal and written communication skills. Strong time management and organization skills. Experience with project management principles to manage simultaneous projects. Experience working in a dynamic work environment, to include managing multiple priorities. Experience with MS Office applications (Excel, PowerPoint, Project). Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Shift: This position is for 3rd shift. Approx. 11:00 PM Start time Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage, and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range : $80,000 - $86,500. Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 3 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)