Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives within the organization. You will oversee a dedicated team, focusing on enhancing data quality programs, integrating advanced technologies, and improving productivity. This position requires collaboration with various stakeholders, promoting innovative solutions within the legal sector. As a leader, you will emphasize business development and the application of CRM systems to foster growth and ensure exceptional client outcomes. Accountabilities Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs. Provide visionary leadership to the Data Quality Services team, promoting cross-functional collaboration. Manage day-to-day operations of the Data Quality Services team for timely program delivery. Collaborate with internal teams and external stakeholders to optimize resources and client outcomes. Develop and monitor data quality standards, ensuring accuracy and reliability. Oversee deployment of advanced data quality tools and technologies. Serve as the primary client contact for data quality initiatives. Facilitate client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities within the legal sector. Design marketing materials that articulate the value of data quality services. Champion the adoption of generative AI tools to enhance processes. Collaborate on the design of campaigns to expand market presence. Design and manage data quality assurance processes. Monitor trends and assess service efficacy through comprehensive metrics. Foster an innovative environment by identifying process improvements. Requirements Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field. Minimum of 7 years of experience in data quality management or related area. Proven leadership experience in data quality or data services teams. Proficiency with data quality tools and data integration solutions. Strong command of SQL; familiarity with programming languages is a plus. Experience with CRM systems and their application in business. Excellent analytical skills to transform complex data into actionable insights. Strong business acumen with experience in business development. Exceptional communication skills for diverse audiences. Benefits Promote a healthy work/life balance with numerous well-being initiatives. Shared parental leave and sabbaticals for long-term employee support. Study assistance and professional development opportunities. Eligible for an annual incentive bonus. Country-specific benefits tailored to enhance employee satisfaction. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About David Energy David Energy is creating a new kind of power company. Traditional Retail Electricity Providers (REPs) are outdated, opaque, and painful for customers to engage with. We use software to monitor our customers' real-time energy usage, and we aggregate and analyze that data to maximize the value they get from their energy assets – batteries, EVs, HVAC systems and other distributed energy resources (DERs) via participation in energy markets. Our mission is to run the grid on clean energy 24/7. We are looking for a senior data scientist to own analyses and data analytics around our growing network of energy assets in concert with real-time energy markets. By shifting the energy usage of our customers to align with the cheapest and cleanest wholesale energy available, we can offer dramatically lower rates with much cleaner energy. Making those decisions automatically at scale requires excellent data science. In this role, you will Solve complex business problems (e.g., cost allocation, error detection, data imputation) to deliver insights that advance business initiatives Own and evolve our data ecosystem (Snowflake + dbt) and ensure data is accurate and well-structured Work with cross-functional teams to identify data needs, define metrics, and establish reporting frameworks Contribute to the strategic planning process by presenting findings and recommendations to stakeholders across the company Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency Design and establish a company culture of rigorous, data-informed decision making We invite you to apply for this role if you have Clear communication skills with people at all levels of technical ability 5+ years of work experience delivering data analytics and analyses with demonstrated impact Fluency in SQL Ability to deliver in an early-stage startup environment (e.g., proactive ownership, independence in uncertainty) You could be an especially great fit if you have Bachelor’s in a quantitative field (e.g., physics, statistics, mathematics, economics) Experience with dbt Experience with Python Experience in energy trading, grid operations, or deregulated energy markets (namely, ERCOT, ISO-NE, NYISO, or PJM) Benefits: $160,000 plus equity, depending on experience Group medical and dental insurance Flexible vacation/PTO policy 401(k) plan Hybrid office culture, with team members remote and working from our offices in New York City

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us. Data Engineering is responsible for the development and delivery of our most important asset, our data. Across thousands of data sources globally, the team ensures that only accurate, normalized data flows to our customers, at the speed required to match real-world changes. As we expand the markets we serve and increase the breadth and depth of data we capture, we need senior technical leaders who can drive execution, scalability, and architectural excellence. WHAT YOU'LL DO AT H1 As a Staff Data Engineer on the Real World Evidence (RWE) team, you’ll be one of the most senior individual contributors and a key technical leader for our largest datasets and pipelines. You’ll drive some of H1’s most visible data initiatives and help reduce bottlenecks across teams, providing critical technical leadership support during US hours. You will: - Act as a self-starter who drives execution independently, taking ownership and initiative with minimal need for day-to-day direction. - Lead high-visibility RWE projects, starting with claims data, and keep multiple initiatives moving by proactively unblocking teams. - Own the end-to-end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1’s long-term vision. - Design, build, and optimize large-scale data pipelines (hundreds of TBs) for performance, reliability, and cost efficiency. - Partner with Product, Data Science, and downstream engineering teams to align priorities, manage dependencies, and deliver high-value outcomes. - Represent engineering in cross-functional forums, shaping roadmaps and reducing reliance on senior leadership for day-to-day decisions. - Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products. ABOUT YOU You’re a hands-on Staff IC and technical leader who thrives in complex data environments. You bring clarity to ambiguity, turn messy problems into reliable systems, and operate with a strong sense of ownership and impact. You collaborate effectively across functions, help others move faster, and are comfortable working across the full data and infrastructure stack. - You have a proven track record of leading large, complex technical projects from concept to production. - You bring deep experience building and evolving large-scale data architectures, pipelines, or distributed systems. - You operate well in high-ambiguity environments, make pragmatic trade-offs, and keep execution moving. - You communicate clearly with both technical and non-technical partners and influence direction without needing formal authority. - You raise the bar for engineering excellence through thoughtful design, high-quality code, and strong documentation. - You invest in others through mentorship, pairing, and constructive feedback. REQUIREMENTS -8+ years as a software, data, or backend engineer building and operating scalable, production-grade systems. - Experience with large-scale data processing (e.g., Spark/PySpark on EMR or similar) or scalable distributed backend systems, with the ability to quickly deepen expertise in our data stack (PySpark, EMR, Hudi/Delta). - Strong proficiency in SQL, including writing and optimizing complex queries over large datasets. - Strong programming experience in Python (or a modern language with the ability to quickly ramp up in Python). - Experience designing systems or large-scale datasets/pipelines with attention to performance, reliability, and maintainability. - Hands-on experience with modern engineering workflows and tooling such as Git, JIRA, and CI/CD systems (e.g., CircleCI). - Comfort deploying and troubleshooting distributed workloads in cloud environments such as AWS EMR or Kubernetes. - Experience with workflow orchestration or job scheduling tools (e.g., Airflow, Argo). - Demonstrated ability to independently drive complex, cross-team technical initiatives and influence stakeholders without formal authority. - Experience with streaming/messaging technologies (e.g., Kafka, Kinesis) nice to have - Background in RWE, healthcare data, or other complex/regulated data domains is preferred - Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged COMPENSATION This role pays $170,000 to $190,000 per year, based on experience, in addition to stock options. Anticipated role close date: 01/05/2026 H1 OFFERS - Full suite of health insurance options, in addition to generous paid time off - Pre-planned company-wide wellness holidays - Retirement options - Health & charitable donation stipends - Impactful Business Resource Groups - Flexible work hours & the opportunity to work from anywhere - The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

The Senior Director, Data is responsible for leading the enterprise data function. This role oversees all data-related functions for the organization including Analytics, Data Science, Robotics & Data Engineering. This role drives the establishment & execution of our data strategy, modernizes data platforms, and adopts predictive modeling and generative AI solutions. This role will plan, deploy, and manage the steps necessary to foster an “analytics and innovative culture”. Reporting directly to the CIO, this individual will build partnerships with executive leadership to establish the vision for managing data as a business asset and to maximize the value derived from data assets; and leverage data as a strategic asset, improving decision-making, enhancing risk management, and driving operational efficiency. Essential Duties & Responsibilities Lead and grow the Business Analytics, Data Science, Robotics, Data Platform & Engineering teams - fostering collaboration, innovation, and a high-performance culture. Define KPIs, track progress, and conduct cost-benefit analyses to ensure AI investments generate value. Lead efforts to apply formal research and evaluation standards, advanced analytics, and data management principles to translate complex data into meaningful content. Research ways by which Coverys can gain a competitive advantage through AI innovation and analytics. Develop comprehensive plans by which this is achieved. Develop centralized communication related to all enterprise-wide data analytics and insights efforts. Data Strategy & Execution Accountable for the development and execution of data strategy aligned with Coverys’ goals, ensuring data quality, security, accessibility, and compliance. Institute an enterprise operating model for data, analytics, and AI that: a) is consistent with the capabilities and competencies required to execute the strategy; b) considers the unique data needs and requirements of each business function c) thoughtfully integrates disparate sources of data produced across business units and by external partners. Establish and maintain trust in data, analytics, and AI assets by partnering closely with AI Governance Ensure data, analytics, and AI governance policies are executed upon, ensuring compliance, data privacy and security standards. Insights Driven Approach Operate as an enterprise evangelist for data-driven decision-making, promoting analytics and AI across the organization. Champion the adoption of predictive modeling and generative AI, applying these technologies to underwriting, claims, actuarial, financial, and operational processes. Drive AI adoption across departments by educating leadership and employees, facilitating collaboration across the enterprise, and promoting a data-driven culture. Leverage data insights to support decision-making & drive business outcomes. Data Management and Engineering Develop a roadmap for the data and AI infrastructure, partnering closely with the Principal Enterprise Solutions Architect. Oversee the design, development, and modernization of data platforms & integrations, and pipelines, to support advanced analytics, reporting, and AI/Machine Learning capabilities. Robotics Oversee the overall delivery of robotic process automation capabilities as it aligns with business strategies and product vision. Monitor fields of interest to the company, seeking potential areas where the application of analytics, robotics and innovation will enhance the company. The Senior Director, Data will carry out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Education, Experience, Competencies & Values 10+ years of experience, proven leadership experience managing analytics and/or data engineering teams in a mid-to-large enterprise environment, preferably 2 years or more, in insurance or financial services. Bachelor’s, or advanced, degree in engineering or a related field Expertise in predictive analytics, and generative AI technologies. Strong understanding of data management platforms (such as Snowflake) and enterprise data governance. Track record of delivering measurable business outcomes through data-driven solutions. Excellent communication and stakeholder management skills, with the ability to influence at the executive level. Experience with insurance data, actuarial modeling, and regulatory compliance is highly desirable. Must be ready to take initiative and be self-driven True strategist, who can lead the organization & continue to focus on innovation. Demonstrated track record of experience in managing teams in a complex environment. The base salary range is $215,000 - $253,000 . Individual compensation packages are based on a variety of factors that are unique to each candidate including geographic location, skill set, experience, qualifications and education. If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!

Job Description: Short Description: Client is looking for a Senior Broadband and Digital Equity Data Analyst to serves as the district’s clearinghouse for all broadband and digital equity data-related issues. Complete Description: client is looking for a Senior Broadband and Digital Equity Data Analyst to serve as the district’s clearinghouse for all broadband and digital equity data-related issues. This position performs a wide variety of analytical, research and administrative functions with the goal of increasing broadband capacity and solving the digital divide in Washington, DC. This professional position reports to Deputy CTO for Digital Services, located in client will be responsible for all data collection and analysis for Tech Together DC, a values-based city-wide initiative to close the digital divide in Washington, DC. Work will include identifying and managing large public and private datasets, conducting geo-spatial and statistical analysis, designing empirical research and survey instruments, and providing technical assistance for strategy, planning, and performance management. Monitor, track and leverage publicly available broadband and digital equity data from the FCC, NTIA and other authoritative sources. Manage all geospatial data collection and statistical analysis related to broadband and digital equity. Assist with the development of a statewide broadband plan to include goals and objectives to expand broadband coverage and capacity for all DC Residents. Participate in advisory and/or stakeholder workgroups to inform planning, mapping, and spending priorities for digital inclusion. Assist stakeholders in efforts to identify and overcome barriers to broadband deployment and adoption. Support the design, implementation, and analysis policy and program evaluations, including randomized controlled trials (RCTs), quasi-experimental analyses, and other methodologies as appropriate. Monitor and measure implementation of the state broadband and digital equity plans. Support the development of required state and federal reports. Skill Requirements: Experience/Knowledge/Skills: Strong communication skills both verbally and in-writing. A writing sample may be required. Ability to conduct independent research on complex issues involving policy, economic, financial or technical matters. Expert statistical analysis skills. Expert GIS skills and 5+ years working with Esri tools (ArcGIS Online, ArcGIS Pro etc). Deep experience with Business Intelligence and Statistical Modeling tools. Expertise in at least one statistical programming language (R, Python, Stata, SAS, or similar) Ability to write clear and concise reports or other materials appropriate for various audiences. Ability to meet applicable deadlines. Ability to develop and maintain cooperative and effective working relationships with various stakeholders. Mastery of Microsoft Office products (Excel, Word, Access, and Outlook) Minimum Qualifications: Bachelor of Science degree from an accredited college or university in geography, engineering (mechanical, electrical, civil) or another technical field. Six (6) years and above of professional experience including a progressively responsible nature. Strong organizational and time management skills. Possess a sense of urgency and individual responsibility to work effectively with changing priorities. Maintain high degree of personal and professional ethics at all times. Preferred Qualifications: Master of Science degree from an accredited college or university in geography, science, engineering, or information technology. Professional experience related to the broadband or telecommunications industry and/or digital inclusion related data. Contract Job Description Responsibilities: Provides assessments of technical and operational practices based on leading industry standards specific to the requested technology. Plans, organizes, and conducts research in a variety of areas, such as new or existing products, science, social science, law or business in support of an IT initiative. Searches sources such as reference works, literature, documents, newspapers, statistical records, and other sources of information. May use Internet, Intranet, magazines, periodicals, journals, and other media to perform research. Analyzes information and statistical data to prepare reports and studies for use by professionals. Minimum Education/Certification Requirements: Master’s degree in Information Technology or related field or equivalent experience Skills: 6+ yrs. as SME in Broadband and Digital Equity Data Analysis. Required 6 Years 6-10 yrs as SME in complex enterprise level projects. Required 6 Years Bachelor of Science degree in geography, engineering (mechanical, electrical, civil) or another technical field. Required Master’s degree in IT or related field or equivalent experience. Desired Expert GIS skills and 5+ years working with Esri tools (ArcGIS Online, ArcGIS Pro etc). Required 6 Years Deep experience with Business Intelligence and Statistical Modeling tools. Required 6 Years Expertise in at least one statistical programming language (R, Python, Stata, SAS, or similar). Required 6 Years Ability to conduct independent research on complex issues involving policy, economic, financial or technical matters. Required 6 Years Mastery of Microsoft Office products (Excel, Word, Access, and Outlook). Required 6 Years Professional experience related to the broadband or telecommunications industry and/or digital inclusion related data. Highly desired 6 Years Compensation: $55.00 - $60.00 per hour About Us AHU Technologies INC. is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues. AHU Technologies INC. was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

Join National Dentex - a leading healthcare organization specializing in the dental industry! We offer a full spectrum of specialized products, services, and technologies to address any dental restoration need. Currently, we have 50 labs throughout the country. We are seeking to fill a number of key positions within our organization including this Data Entry Specialist opportunity at NDX Thoele Dental Lab in St. Cloud, MN . The regular hours for this position are from 7:00am to 4:30pm, Monday through Thursday, 7:00am to 12:00pm on Fridays, and subject to change from time to time. This is a full-time position featuring employee benefits including: health, dental, vision, disability, and life insurance; paid holiday, vacation, and sick time; 401K with company contribution; and tuition reimbursement! Primary Responsibilities and Essential Functions of the Position: Unpacking and sanitizing new work as needed following instruction which includes wearing protective gear Sorts and attaches doctor prescriptions Enter prescription information via Data Entry to schedule cases Responsible for billing and invoicing all finished cases and will sort and attach Responsible for properly packing all completed cases Responsible for verifying and properly consolidating all cases to prepare for shipping Responsible for utilizing UPS and FedEx software and properly maintaining database integrity and account naming procedures Disburse cases for local drivers Maintain proper level of assembled shipping boxes Assist with answering incoming calls Skills and Abilities Required: Computer skills Must be able to read, write, speak and understand English Strong attention to detail Multi task Minimum Education and Experience Required: Preferred: High school diploma or GED equivalent Working knowledge of Microsoft Office Hazardous Materials or Equipment Used: Disinfectant process chemicals Personal protective equipment as required Office equipment Insert hazardous materials and/or equipment Physical Requirements: Regularly required to sit, stand, walk, and/or reach Exhibit fine motor skills and/or perform repetitive motions Good hand-eye coordination Good manual dexterity Ability to walk and stand for long periods of time Repeated bending and kneeling Vision capabilities: Depth perception, attention to detail and/or color Push, pull, lift, and/or carry up to 25 pounds

Sauk Rapids, Minnesota, United States of America Extraordinary Care. Extraordinary Careers. With one of the nation’s largest, most innovative long-term care pharmacy services providers, there is no limit to the growth of your career. Guardian Pharmacy of Minnesota , a member of the Guardian family of pharmacies, has an exciting opportunity for you to join our rapidly growing team in Sauk Rapids, Minnesota . Why Guardian Pharmacy of Minnesota ? We’re reimagining medication management and transforming care. Who We Are and What We’re About: Our core focus is delivering customized medication management solutions to support healthcare organizations serving seniors and individuals with complex care needs. With our comprehensive suite of tech-enabled pharmacy services and a dedicated team of professionals committed to enriching the lives of those we serve, we are redefining how pharmacy care is delivered. We offer an opportunity to learn and grow your career in a fast-paced, diverse, and inclusive environment. If you are looking for a challenging, team-oriented environment in which you can put your expertise to work, then this is the place for you. Starting Pay Range: $22-$24 Various Schedules between 8am-7pm with rotating weekends and holidays Responsible for entering and processing prescriptions into the pharmacy operating system with both speed and accuracy. Communicates with customers on the telephone and responds quickly and courteously to their needs. Attributes Required: Work Ethic/Integrity – must possess intrinsic drive to excel coupled with values in line with company philosophy Strategy and Planning – ability to think ahead, plan and manage time efficiently Problem Solving – ability to analyze causes and solve problems at both a strategic and functional level Team Oriented – ability to work effectively and collaboratively with all team members Essential Job Functions (include the following): Enter new and refill prescriptions into operating system in accurate and timely manner to eliminate errors at dispensing Triage incoming fax prescriptions to ensure timely dispensing Ensure proper notes in computer and cycle fill coding Calculate and/or verify the correct dosage based on the prescription Demonstrate caring, understanding and courtesy when responding to calls from customers. Route calls as appropriate to ensure top level service Ensure all prescriptions assigned for processing are completed in regular shift Receive, evaluate, process and follow-up as needed with doctors’ offices on all refills assigned Develop proficiency in the utilization of all pharmacy systems (ie document imaging, legacy pharmacy computer operating system) On an as needed, may assist with filing of completed orders, packaging of medications, inventory, profiling of orders for medical records, and filling processed prescriptions to dispense to the patient Develop and learn cycle in order to meet delivery deadlines. Maintain data entry records for cycle medication, fill requests and process cycle medication orders needing renewal in addition to new cycle orders as applicable Other essential functions and duties may be assigned as needed Education and/or Certifications High School Diploma or GED (per state requirements) Pharmacy Technician license/certification/registration (per state requirements); National Certification preferred (PTCB) Skills and Qualifications: 2+ years of related experience (advanced degree may substitute for experience) Advanced computer skills; pharmacy operations system experience preferred Ability to work independently and deliver to deadlines Ability to solve problems with minimal direction Great attention to detail and accuracy Ability to excel in a fast-paced, team-oriented environment working on multiple tasks simultaneously, while adhering to strict deadlines Quality minded; motivated to seek out errors and inquire when something appears inaccurate Work Environment: Ability to work flexible hours, including weekends, holiday and overtime. What We Offer: Guardian provides employees with a comprehensive Total Rewards package, supporting our core value of, “Treat others as you would like to be treated.”Compensation & Financial Competitive pay 401(k) with company match Family, Health & Insurance Benefits (Full-Time employees working 30+ hours/week only) Medical, Dental and Vision Health Savings Accounts and Flexible Spending Accounts Company-paid Basic Life and Accidental Death & Dismemberment Company-paid Long-Term Disability and optional Short-Term Disability Voluntary Employee and Dependent Life, Accident and Critical Illness Dependent Care Flexible Spending Accounts Wellbeing Employee Assistance Program (EAP) Guardian Angels (Employee assistance fund) Time Off Paid holidays and sick days Generous vacation benefits based on years of service The Guardian Difference Our clients require pharmacy services that aren’t “cookie cutter.” That’s why every Guardian pharmacy is locally operated and empowered with the autonomy to tailor their business to meet their clients’ needs. Our corporate support offices, based in Atlanta, Ga., provide services such as human resources, business intelligence, legal, and marketing to promote the success of each Guardian location. Regardless of your role at Guardian, your voice and talents matter. Because healthcare is an ever-changing industry, we encourage innovative thinking, intellectual curiosity, and diverse viewpoints to ensure we stay competitive in today’s dynamic business environment. At Guardian, we are dedicated to fostering and advancing a diverse and inclusive workforce. Join us to discover what your best work truly looks like.

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Broadridge is growing! We are seeking an enthusiastic Data Analyst (Transfer Agent / Fraud) to join our team. This role is responsible for conducting internal reviews, audits, and investigations to ensure compliance with policies, procedures, and regulatory requirements. The analyst will assess operational, product, and compliance risks, develop mitigation strategies, and strengthen both business and information security controls across the ICS business units. The position plays a key role in maintaining a strong internal control environment by ensuring adherence to company policies, standard operating procedures, and external audit or regulatory requirements. Responsibilities Risk Management & Compliance Conduct periodic internal audits and risk assessments to ensure compliance with internal policies and external regulations. Lead or support investigations into compliance or fraud-related issues. Develop, implement, and manage risk management processes to identify, monitor, and mitigate business and information security risks. Maintain internal control documentation and ensure alignment with company standards and external requirements. Fraud Prevention & Data Integrity Analyze operational and transactional data to identify trends, anomalies, and potential fraud risks within transfer agency processes. Develop and maintain dashboards, data monitors, and fraud alert thresholds to detect emerging risks and reduce false positives. Conduct root cause analyses on data irregularities and recommend process improvements to prevent future occurrences. Collaborate with internal technology teams and external vendors to strengthen verification processes and support audit readiness. Reporting & Communication Create data visualizations and management reports to communicate key fraud metrics, emerging threats, and audit results. Support automation of data collection and risk reporting processes to improve efficiency and accuracy. Provide training and awareness sessions on fraud prevention and red-flag indicators. Communicate with shareholders or issuers regarding data inconsistencies, account safeguards, and fraud mitigation efforts. Participate in client meetings and quarterly business reviews to educate clients on emerging fraud schemes and protective measures. Qualifications Bachelor’s degree or equivalent work experience. Experience in financial fraud risk management or data governance. At least 1 year of data visualization experience (e.g., Power BI, Access). Minimum of 3 years of direct customer service experience. Prior experience with equity transfer agency operations preferred. Compensation Range: The salary range for this position is between $70,000 - $90,000. Bonus Eligibility: Bonus Eligible Broadridge considers various factors when evaluating a candidate's final salary including, but not limited to, relevant experience, skills, and education. Benefits Information: Please visit www.broadridgebenefits.com for more information on our comprehensive benefit offerings. All Colorado employees receive paid sick leave in compliance with the Colorado Healthy Families and Workplaces Act and other legally required benefits, as applicable. Apply by clicking the application link and submitting your information. The deadline to apply for this role is March 1, 2026 We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. US applicants: Click here to view the EEOC " Know Your Rights " poster. Disability Assistance We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at 888-237-7769 or by sending an email to BRcareers@broadridge.com .

About FLORA We build creative tools for the new creative class— an intelligent canvas where the best AI models enable professional craft. We're a team of ~20 who recently closed our Series A, backed by investors like Hanabi Capital, Menlo Ventures, Justin Kan, and Gabe Whaley (founder of MSCHF). Our customers include Pentagram, Lionsgate, and Nike. We're looking for a Founding Data Scientist who will build FLORA's data function from the ground up. As part of the founding team, you will work closely with the CTO and Head of Product to define what data means at this company—how we capture it, store it, analyze it, and turn it into decisions. You'll stand up our warehousing and pipelines, define the metrics that matter (activation moments, power users, generation quality), and build dashboards and analysis workflows. You'll also work with our Intelligence team (led by a veteran from Scale AI) on the data layer around AI generations. We integrate 200+ models and believe deeply understanding generation patterns will establish FLORA as the creative industry's authority on AI. We're looking for people who have Proven ability to work autonomously—you'll be the first data hire and we're counting on your expertise Deep SQL fluency and strong fundamentals in at least one modern data warehouse (Snowflake, BigQuery, Databricks, ClickHouse, etc.) Experience building data infrastructure, not just querying it—you've set up pipelines, defined schemas, made tooling decisions Strong product instincts—you know what to measure, what's vanity, and how to frame findings for stakeholders Comfort operating in hypergrowth—you can build fast and while also building for scale The ambition to see this as a path to leading a data team Exceptionally strong candidates might also have TypeScript chops—we're full-stack TS and you'll collaborate closely with engineers Sophisticated PostHog experience (cohorts, funnels, feature flags, warehouse sync) Experience with creative tools or AI-native products Familiarity with unstructured data—LLM outputs, prompt patterns, generation analytics A background building evaluation frameworks for AI/ML systems Working at FLORA Office policy We work in-person at the Domino Refinery building in Williamsburg, Brooklyn—with views of the East River. Compensation and benefits Competitive salary and meaningful equity. We also offer an Equinox membership and comprehensive health and dental coverage.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Rust Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing Rust codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - 5+ years of professional experience writing production Rust. - Expertise in data parallelism and concurrency patterns to maximize CPU saturation. - Deep understanding of memory layout, SIMD optimizations, and minimizing heap allocations to identify and fix performance bottlenecks. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Camp Description In this free , 5-day summer camp, students will be introduced to data science and how it is applied to investigating scientific problems. The experience, led by scientists from Argonne’s Leadership Computing Facility, develops students’ data science skills: from asking good questions to creating insightful visualizations from data. Through this, they can discover unexpected and amazing relationships within the data. Developing skills in data science can open many career pathways, paving the way forward to a bright tomorrow using data and scientific research. While basic experience in coding is required, Big Data Camp is meant to be an introduction to this blossoming field. Big Data Camp is for current high school juniors and seniors who… Are curious how data can be used to explore questions and problems in science and other areas related to their interests. Have basic experience in a text-based coding language like Python, Java, C, etc. Have little/no experience in data science but are interested in developing some basic skills that they hope to apply in their future education and career. Education and Experience Requirements Be a rising high school senior or in the summer after your high school graduation. Have prior coding experience in a computer language (C, Python, Java, etc.). Be available to participate in the full five-day program. Students must be able to provide their own transportation. Internship Category Big Data Camp Student

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist’s capabilities. 8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor’s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes 4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment 5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) 6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 7. Experience in managing multiple projects with tight deadlines in a collaborative environment Preferred Qualifications: 1. Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry Additional Job Description: 1. Experience with bankcard fraud strategy preferred OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Compensation $25.00 Hourly Job Description Location: Zionsville IN *Hybrid options potentially in the future Company Overview The law requires you to call 811 to have public utilities marked before you dig. However, public utilities will only locate the facilities they own – electric, gas, oil, sewer, telephone, and water. The vast majority of underground utilities are privately owned, which is why you need to make Blood Hound your second call. Blood Hound locates ALL underground utilities and structures and offer a range of highly specialized subsurface utility services to significantly reduce your risk of costly damages and project delays and mitigate safety hazards for your crews and community. Blood Hound’s Geospatial Division is leading the evolution of utility mapping and subsurface data collection. Our work combines Multi-Channel GPR, UAS LiDAR, mobile scanning, and advanced GIS tools to deliver high-resolution 2D and 3D mapping data for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail-oriented and technically skilled Geospatial Data Processing Specialist to join our expanding Geospatial Division. This role is focused on transforming raw sensor data—GPR, LiDAR, GNSS, and UAS imagery—into precise, client-ready deliverables that power engineering, design, and construction decisions. You’ll work closely with our Geospatial Systems Supervisor, CAD and GIS teams, and field crews to ensure that data captured in the field is processed, organized, and delivered with the highest accuracy and consistency. This role is ideal for someone who enjoys data analysis, mapping workflows, and precision quality control across a wide variety of datasets and software platforms. Responsibilities Process and organize geospatial datasets from multiple sensors including LiDAR, GPR, GNSS, and photogrammetry. Perform QA/QC checks to ensure alignment, completeness, and consistency across all collected data. Convert and clean datasets for import into CAD, GIS, and BIM environments (Civil 3D, QGIS, Revit, etc.). Generate 2D and 3D outputs such as shapefiles, DWGs, KMLs, and surfaces/TINs. Standardize naming conventions, coordinate systems, and metadata across project deliverables. Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and automation. Support the creation and maintenance of libraries, templates, and standard processing documentation. Ensure data is properly archived and backed up according to company protocols. Communicate regularly with field teams to clarify data collection parameters and resolve inconsistencies. Provide feedback to technicians and supervisors to enhance data capture quality and efficiency. Support managers and CAD/GIS staff with organized and verified datasets ready for drafting or analysis. Requirements 2–5 years of experience in geospatial data processing, remote sensing, or GIS/CAD production. Proficiency with AutoCAD Civil 3D, QGIS, or similar mapping software. Familiarity with LiDAR, photogrammetry, or GPR data formats and workflows preferred. Understanding of coordinate systems, datums, and transformations. Strong organizational skills and attention to detail. Experience with data QA/QC or file standardization. Bachelor’s degree in Geography, Geomatics, Engineering Technology, or related field preferred (or equivalent experience). Comfortable learning new processing tools and adapting to evolving technology. We are an Equal Opportunity Employer. Veterans are encouraged to apply.

Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Senior Data Engineer is responsible for the identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization. This role requires an enterprise mindset to build out robust, high-performance technology. Duties and Responsibilities, aligned with Key Results: People Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Working directly with management, product teams and practice personnel to understand their platform data requirements Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions Client Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences Analyzing user feedback and activity and iterate to improve the services and user experience Value Securing data in alignment with internal information and data security policies, best practices and client requirements Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance Staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community Perform other duties as assigned Education and Experience: Bachelor’s and/or Master’s degree in a related field. 7+ years of experience developing data technologies. 7+ years of experience deploying ETL solutions in production environments. 7+ years of experience with cloud-based data services, preferably in AWS or Azure. 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity. 7+ years of experience in mixed Windows/Linux environments. Additional Required Skills and Experience: Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment Fluency in one or more databases, preferably relational and NoSQL is a plus. Experience with distributed data platforms is a plus. Exposure to AI/ML pipelines is preferred. Experience deploying, monitoring, and maintaining data pipelines in production environments Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Supervisory Responsibilities: Requires supervisory responsibilities, including training employees, assigning work, and assuring quality throughout any deliverables Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Independent travel requirement: As Needed

Job Description : IT - Data & Analytics Internship (The Woodlands, Texas) Huntsman is now searching for a IT - Data & Analytics Intern located at our global headquarters in The Woodlands, TX. This internship is for Summer 2026. Our summer intern program is tailored to individuals who are currently enrolled full-time students at an accredited four-year college or university. The internship runs from May to August - dependent on the school calendar. The goal of the Huntsman Intern Program is to provide a structured program that will equip interns with the skills and experience to help prepare for a successful career. As an IT - Data & Analytics Intern, you will: Support the team in providing, timely, accurate, and insightful reporting as well as maintaining hardware, software, and other systems Assist with troubleshooting issues and perform analysis to understand user needs and requirements Organize and maintain IT resources, such as databases, networks, and servers Assist in the development and improvement of software applications and systems Excellent computer skills; especially proficient in Excel and PowerPoint are required to assist with day-to-day business functions Knowledge of building dashboards in Power BI is a plus and will be utilized for reporting and analysis Work cross-functionally with other functional team members on pricing excellence and profit improvement projects What are we looking for in the ideal Candidate? A full-time college student at the Sophomore, Junior, Senior or Master level by the end of Spring 2026 Must be currently enrolled at an accredited university seeking a bachelor’s or master’s degree Must have a 3.0 or higher GPA Must be Authorized to work in the U.S. without sponsorship Independent self-starter with high level of confidence and energy Strong analytical and conceptual thinking skills Additional Locations:

Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives®. With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation. Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com Overview The GP Strategic Capital platform within Blue Owl is dedicated to acquiring minority equity stakes in and providing long-term financing to established alternative asset managers. Since December 2011, the team has formed 70+ partnerships with leading institutional quality alternative asset management firms. GPSC is seeking to add a member to its Investment Team with a data governance background. This individual will bear day-to-day responsibility for managing the data workflow and governance programs within the business unit. Key Responsibilities Program Leadership & Governance Design and implement a data governance program that promotes data ownership, structure, and transparency, enabling scalable reporting and AI readiness. Define and track KPIs, milestones, and deliverables across multiple workstreams. Work with the business and IT to manage third-party vendors to ensure alignment with strategic goals. Serve as the primary liaison between the business and IT teams. Drive adoption of new tools and processes through training and communication. Data Strategy & Quality Oversight Own the process of the end-to-end data lifecycle: data ingestion, data validation, transformation, monitoring and reporting. Ensure data from disparate sources is properly validated, cleansed, and transformed before being loaded into centralized databases or reporting environments. Assist the business with and supply data for various data analysis and market research projects. AI & Cloud Readiness Work with the business and IT to ensure data infrastructure is scalable and AI-ready. In coordination with IT, oversee integration of cloud-native tools and services to support advanced analytics. Act as a strategic advisor on how AI can be embedded into business intelligence and reporting processes. Required Skills & Qualifications 6+ years of experience in data governance and technology assurance in al ternative investments. Strong knowledge of data governance frameworks and data quality management. Experience working with various cloud-based platforms, tools and data ingestion from multiple sources. Strong interpersonal and leadership skills. Demonstrated understanding of AI concepts, with the ability to identify opportunities where AI can enhance data consolidation, data classification, reporting, and decision intelligence. Comfortable operating in early-stage or evolving data environments with growing infrastructure. I t is expected that the base annual salary range for this New York City-based position will be $150,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

Ocular Therapeutix, Inc. (NASDAQ:OCUL) is a biopharmaceutical company focused on the formulation, development, and commercialization of innovative therapies for diseases and conditions of the eye using its proprietary bioresorbable hydrogel-based formulation technology, ELUTYX™. Ocular Therapeutix has built a robust product pipeline of drug delivery solutions developed to reduce the complexity and burden of the current standard of care and position itself to become a leader in the ophthalmic space.Outside of the ophthalmic realm and behind the doors of our headquarters in Bedford, MA, we strive to build a strong culture where employees can flourish and achieve their career goals. We encourage out of the box thinking, cross-functional collaboration, and creativity. Position Summary : The Manager, Clinical Data Management (CDM), is responsible for effective execution of CDM activities performed in-house or outsourced. Provides oversight of CDM vendors and ensures data management activities meets Ocular quality standards. Principal Duties and Responsibilities include the following : Performs Lead CDM role for assigned studies Designs and/or assists with design of the clinical database based on protocol and study needs, including queries and dynamics Performs User Acceptance Testing (UAT) of the clinical database Authors, reviews, and approves study specific CDM documentation (DMPs, CCGs, DTAs, EDC specifications) Performs data cleaning activities for assigned studies; provide oversight of data cleaning activities for outsources studies Monitors study progress to ensure successful achievement of study milestones Provides oversight of CDM vendors for assigned studies Ensures that all CDM operations are conducted according to applicable SOPs Identifies and communicates potential risks/challenges to head of CDM and study CPM based on protocol, timelines, forecasts, and study metrics. Collaborates with the study team to identify, develop, and implement risk-based solutions Ensures CDM study documents are filed in the TMF (Trial Master File) in a timely manner May oversee tasks delegated to other CDM staff for assigned studies Performs other duties as required Qualification Requirements : Bachelor’s degree in health profession, science, or related field Six to eight (6-8) years of CDM experience. Minimum 3 years of Lead CDM experience Knowledge of SOPs, GCP (Good Clinical Practice) standards, and CDM systems Experience with multiple EDC systems Experience with other CDM systems such as analytics desired Advanced MS Excel skills (formulas, pivot tables); basic SAS or other programming is a bonus Computer literacy, proficiency in MS Office suite, TEAMS, SharePoint etc Excellent written and oral communication skills Excellent organizational skills and attention to detail Ability to prioritize and multitask This position will be fully remote. The ability to travel less than 5% would be desirable, but not required. Salary Range $150,000 — $165,000 USD Ocular Therapeutix is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding nondiscrimination. Ocular Therapeutix provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, or status as a veteran. For information on how Ocular Therapeutix collects, stores, and utilizes candidate information please see our privacy policy found at https://www.ocutx.com/privacy-policy/ . For the Privacy Notice for California Job Applicants, please see CCPA Applicant Notice .

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C# codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production C#. - Strong skills in data modeling and database access using ORM frameworks or micro-ORMs for high-performance SQL interactions. - Experience building secure, documented endpoints for data access and manipulation. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

About David AI David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Data Operations team Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale. This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems. About this role As General Manager of Data Operations, you will lead one of the most critical functions at David AI. You’ll own a major slice of our Data Factory: the engine that powers high-quality, scalable data production. You’ll lead the team responsible for building and scaling pipelines, from 0→1 experiments that unlock new model capabilities to 1→N industrialization that processes data reliably and efficiently. In this role, you will Build and lead a team of Data Product Operations Leads, to spin up and scale data pipelines, from early experiments to production systems that generate high-quality audio data at scale. Act as a thought partner to executive leadership on how we can evolve and scale delivery capabilities in service of customer needs. Continuously monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning solutions end-to-end. Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and identify where to scale or invest next. Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans. Partner with our internal research team to design and test new data shapes that unlock frontier model capabilities. Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at both prototype and production scale. Your background looks like 5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup). Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies. Technical fluency with data and operations; SQL proficiency required. Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines. A relentless operator with high standards, bias to action, and strong attention to detail. Comfortable with ambiguity and rapid pace; thrives in a “build while flying” environment. Low-ego, collaborative, and mission-driven, focused on team and company success. Bonus points if you have Experience in data, ML, or large-scale operations. Background in CS, industrial engineering, or similar. Benefits Unlimited PTO. Top-notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company-sponsored Barry’s classes.