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Insmed is a global biopharmaceutical company dedicated to creating life-transforming therapies for patients with serious and rare diseases that have limited tre
Role Description We’re looking for a Head of Clinical Data Management to help us expand what’s possible for patients with serious diseases. Reporting to the VP, Biometrics, the Head of Clinical Data Management will serve as a strategic and operational leader responsible for overseeing all aspects of Clinical Data Management across the development portfolio, from early development through regulatory submissions and post-marketing activities. This role is accountable for the strategy, quality, consistency, and delivery of all data management activities, while advancing modern data capabilities, operational excellence, technology innovation, and scalable processes to support efficient and high-quality drug development. The ideal candidate combines deep operational expertise in clinical data management with a forward-looking mindset in technology, automation, data integration, and innovation. This role partners closely with Biometrics, cross-functional stakeholders, and external partners to ensure timely, high-quality, inspection-ready clinical data across the portfolio. What You'll Do - Define and execute the strategy for Clinical Data Management support across studies, programs, and evidence generation activities. - Be accountable for the quality, consistency, and strategic delivery of all data management activities across the portfolio, including: - CRF/eCRF design - Database build and validation - Edit check specifications - Data review and cleaning - External data integrations and reconciliations - Medical coding - Query management - Database lock activities - Submission readiness - Build, develop, and lead a high-performing Data Management organization with strong operational expertise and leadership bench strength. - Establish and maintain robust quality control and risk mitigation frameworks. - Ensure compliance with industry standards, global regulatory requirements, and internal SOPs. - Provide strategic leadership for data management systems, technologies, automation, and innovation initiatives. - Lead strategic departmental initiatives to strengthen operational excellence, standardization, inspection readiness, and continuous improvement. - Lead modernization initiatives across data management processes and capabilities. - Partner closely with Programming, Biostatistics, IT, and Digital teams. - Foster strong collaboration within Biometrics and across functions. Qualifications - Master’s degree or PhD in Life Sciences, Computer Science, Data Science, Statistics, or a related discipline. - 12+ years of progressive experience in Clinical Data Management within the pharmaceutical or biotechnology industry. - 8+ years of leadership experience managing teams, functions, and complex development portfolios. - Deep understanding of the clinical trial data lifecycle, clinical data management processes, GCP and global regulatory requirements, CDISC standards, EDC systems, external data integrations, database lock processes, and inspection readiness expectations. - Demonstrated experience leading Data Management activities for Phase 2 and Phase 3 global clinical trials. - Proven experience with modern clinical data technologies, automation, digital transformation, and innovation initiatives. - Strong experience with vendor oversight, outsourcing models, and global CRO partnerships. - Demonstrated ability to build high-performing teams and maintain high standards of quality, accountability, and operational excellence. - Strong strategic thinking, operational execution capabilities, and cross-functional leadership and influence. - Excellent communication, leadership, problem-solving, and organizational change management skills. Nice to have (but not required) - Experience in rare disease, respiratory, immunology, gene therapy, or specialty biotech development programs is preferred. Travel Requirements - This position involves occasional domestic and/or international travel (approximately 10%). Benefits - Comprehensive medical, dental, and vision coverage and mental health support. - Annual wellbeing reimbursement and access to our Employee Assistance Program (EAP). - Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules. - 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP). - Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities. - Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back.
• Lead the systems, integrations, and operational infrastructure supporting business operations across the company. • Manage tier-1 IT support and resolve day-to-day issues with internal tools. • Design data flows and integrations across systems while leading projects and supporting AI tooling. • Collaborate with Operations, Finance, and Legal departments for efficiency. • Handle occasional off-hours responsibility for critical system outages. • Aim to establish a centralized internal knowledge base, audit internal platforms, enhance identity and access management, assess readiness for SOC 2, and create sustainable IT operational processes.
• Design, configure, and maintain AI agent workflows • Research and evaluate new approaches to agent orchestration • Guide and review AI-generated code with a critical eye • Build and maintain a RAW → Base → Data Marts pipeline • Own data pipelines end to end, from API ingestion through transformation and QA • Write and maintain tests and documentation at every layer of the pipeline • Build comprehensive test suites using Great Expectations or equivalent tooling • Implement business logic validation checks and automated quality monitoring • Implement complex business logic and data validation in Python • Build ETL scripts, automation workflows, and API integration scripts
Cortica, established in 2014, is a leading provider of advanced neurological therapies for children with autism and other developmental differences. The company
Role Description The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: - Gathering stakeholder requirements - Designing the solution - Building and testing it - Shipping it to production This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer. The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode. Qualifications - 5+ years of hands-on data engineering experience, including building and operating production data pipelines - Expert-level Python skills for ETL, pipeline orchestration, and automation - Deep SQL proficiency — query optimization, data modeling, stored procedures - 2+ years’ experience working with AI first development workflows - 4+ years’ experience with AWS (S3, Glue, Lambda, Redshift) and/or Azure big data services - 1+ year of experience with Snowflake - 2+ years of experience with orchestration frameworks - 2+ years of Salesforce experience with Apex and configurations - Experience with Kimball dimensional modeling — building star schemas and conformed dimensions in production - Power BI (or equivalent BI tool) experience — data model design and report development - API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar) - Application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) Requirements - Engage stakeholders directly to gather, clarify, and document project requirements - Translate requirements into architected data solutions - Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production - Deploy solutions to production and monitor post-deployment health - Run parallel AI coding sessions across different facets of a pipeline simultaneously - Build and maintain context files for data projects - Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors - Build MCP (Model Context Protocol) or equivalent integrations - Design and build complex, reliable data pipelines ingesting from various sources - Implement and evolve data models using Kimball methodology - Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies - Develop and maintain orchestration workflows in Python, and AWS Glue - Continuously evolve the data schema as business and engineering requirements change - Build and support Power BI data models and reports - Work with data analysts and data scientists to build reusable, well-documented pipeline components - Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements - Build lightweight internal data applications and tooling - Design for agentic workflows - Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns - Ensure data security and HIPAA compliance in all pipeline and application work - Document decisions, tradeoffs, and architecture clearly - Collaborate across IT, finance, clinical operations, and data science Benefits - Medical, dental, and vision insurance - 401(k) plan with company matching and rapid vesting - Paid holidays and wellness days - Life insurance and disability insurance options - Tuition reimbursements for professional development and continuing education - Referral bonuses Company Description Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team.
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Role Description Carrot is seeking a detail-oriented and analytically driven Global Payment Operations Specialist to join our growing team. In this role, you’ll help ensure the accuracy and efficiency of global payment processing while partnering closely with Customer Success and Member Success teams. You’ll also have opportunities to improve operational workflows, create or refine process documentation, and contribute to automation, scalability, and product enhancements that strengthen Carrot’s global payment experience for our members. Qualifications - Bachelor's degree in Economics, Finance, Business Administration or related field - 2+ years of professional experience in payment operations at a fintech or payments company or equivalent experience in banking - Strong understanding of payment processing workflows, including cross-border payments, currency conversions, and reconciliation - Experience working with payment platforms such as Stripe, Modern Treasury, Airwallex, and Corpay - High level of integrity, initiative, motivation and curiosity - Strong analytical skills, detail-oriented, and solid ability to communicate verbally and in writing - Strong knowledge of Microsoft Excel and/or Google Sheets - Comfort working and communicating with cross-functional teams and outside customers - Self-starter with the ability to effectively plan, coordinate, and deliver results with minimal guidance Requirements - Knowledge of payment and compliance standards, including Nacha, cross-border payments, IAT, PPD, CCD, and OFAC guidelines - Experience handling high-volume money movement or transactional payments under tight deadlines - Experience with NetSuite or similar ERPs - Process-oriented mindset with a focus on efficiency and automation; experience developing best practices and creating scalable systems - Passion for Carrot’s mission and enthusiasm for contributing to a collaborative, dynamic team environment Benefits - Holistic Total Rewards package designed to support employees in all aspects of their life inside and outside of work - Health and wellness benefits - Retirement savings plans - Short- and long-term incentives - Parental leave - Family-forming assistance - Competitive compensation package - Starting base salary for this position will range from $70,000-$80,000 Fraud and Security Notice Please note that all communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. If you receive messages from any other domain, please disregard them and report the incident to: securityreporting@get-carrot.com Why Carrot? Carrot has received national and international recognition for its pioneering work, including: - Fast Company's Most Innovative Companies and World Changing Ideas - Inc. Power Partners - Modern Healthcare’s Innovators - Fortune’s Best Workplaces in Healthcare - Great Place to Work - Age-Friendly Employer certifications Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation.
Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
• Create data pipelines that make data available for analytic and application use cases • Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly • Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team • Leading projects from a technical standpoint, creating project Technical Design Documents • Support data analysts and analytics engineers ability to meet the needs of the organization • Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices • Build or implement tooling around data quality, governance and lineage, in the dbt framework and Snowflake but external to that as needed • Provide next level support when data issues are discovered and communicated by the data analysts • Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users • Enable analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together.
Role Description The Complex Data Exchange Specialist is responsible for managing the overall process, practice, and project implementation of electronic data interfaces with New York Life clients in support of Life, Accident, Disability, Family Medical Leave products, and various service offerings, with a strong focus on National Accounts and highly complex data integrations. This role serves as both a technical and consultative resource, ensuring high-quality data exchange while educating clients on how their data powers downstream services including administration, billing, eligibility, enrollment, and reporting. - Manage multi-file data environments where multiple client files must be validated, sequenced, reconciled, and merged. - Drive inventory control of active interfaces and milestone management in partnership with internal and external stakeholders. - Demonstrate strong analytical capabilities to audit incoming files across multiple data sources, identify discrepancies or systemic errors, and implement corrective actions. - Partner closely with Implementation IT, Family Medical Leave Operations, Account Management, and external Ben Tech vendors. - Act as a leader among peers by contributing expertise, mentoring team members, and driving process improvements. What You'll Do - Integrate with TPAs and Ben Tech partners in support of eligibility, enrollment, remittance, and billing data for new and inforce business. - Serve as a consultative partner to clients and TPAs by educating them on data structure, file specifications, and the operational impact of their data. - Implement complex electronic interfaces based on established timelines while maintaining strict inventory control. - Manage multi-file integration environments, ensuring files are received, validated, and sequenced appropriately. - Review, audit, and validate test data across multiple related files and data sources. - Identify root causes of file discrepancies, mapping errors, transmission issues, or data inconsistencies. - Understand and articulate end-to-end data flow within New York Life systems. - Balance New York Life/LDEX standards with client requirements to deliver compliant solutions. - Prepare and maintain documentation confirming the method of data exchange. - Partner with Production Support and IT to ensure successful receipt, mapping, merging, and processing of data. - Articulate complex file mapping and merge logic requirements clearly to IT and technical partners. - Drive accountability with internal teams and Ben Tech partners to meet key deliverables. - Troubleshoot and diagnose issues related to electronic data exchange. - Track file status and ensure metrics are reported accurately within Salesforce. - Develop and maintain support documentation, SOPs, and training materials. - Proactively review and suggest improvements to existing procedures. - Serve as a subject matter expert for complex data exchange implementations. Qualifications - Bachelor’s Degree strongly preferred or minimum of 3 years relevant work experience required. - Prior experience working with clients, producers, TPAs, or Ben Tech partners preferred. - Strong understanding of complex data structures, file layouts, and electronic transmission methods preferred. - Demonstrated ability to analyze, audit, and interpret complex and high-volume data files. - Experience managing file dependencies, merge logic, and reconciliation across multiple data sources preferred. - Strong planning, project management, and inventory control skills. - Proficient/advanced Microsoft Excel skills required (VLOOKUP, Pivot Tables, Macros). - Proficiency in Access preferred. - Experience with mainframe TSO and JCL scripting preferred. - Excellent organizational skills with ability to manage multiple complex implementations simultaneously. - Excellent written and verbal communication skills. - Strong interpersonal and consultative skills. - Demonstrated ability to drive results and meet key milestones. - Ability to work independently while collaborating effectively across internal business partners. - Demonstrated leadership capability in a fast-paced, evolving environment. - Proven adaptability and willingness to embrace change and continuously improve processes. Pay Transparency - Salary Range: $81,000-$115,500 - Overtime eligible: Exempt - Discretionary bonus eligible: Yes - Sales bonus eligible: No Benefits - Full package of benefits for employees, including leave programs, adoption assistance, and student loan repayment programs. - Continuous refinement and addition of benefits based on employee feedback.
Unqork is no-code computer software platform that is on a mission to reimagine the way businesses develop, launch, and manage enterprise-grade applications. As
• Act as a player-coach, providing technical direction, architectural guidance, and daily mentorship to a focused team of 3–5 engineers. Conduct thoughtful code reviews and foster professional growth within your squad. • Design and implement sophisticated Data Access Layers (DAL) and custom ODMs to translate platform-generated, SQL-like queries into high-performance MongoDB BSON operations and aggregation pipelines. • Build and maintain middleware that ensures Unqork’s core business logic remains storage-agnostic, enabling seamless modularity and flexibility across different data storage mechanisms. • Architect and scale a multi-tenant, secure MongoDB ecosystem. Lead strategies for ensure high availability while performing deep-dive execution plan analysis (IXSCAN vs. COLLSCAN) to optimize query performance. • Plan and architect hybrid data architectures to support operation, transactional and analytical schema and database systems. • Use Node.js and JavaScript to build robust microservices (typically GraphQL) and internal libraries that integrate dynamic, metadata-driven data patterns into the Unqork no-code runtime. • Design schemas and declarative models that allow non-technical users to build complex application logic without compromising data integrity or system performance. • Architect real-time and batch data pipelines using Apache Kafka and Spark to facilitate data transformation and movement between relational and NoSQL systems. • Partner with Platform and Backend engineers to standardize data interaction patterns, ensuring high-scale, API-driven performance across the entire enterprise cloud. • Partner closely with the Product Management team to influence the product roadmap, translate business requirements into technical specifications, and ensure alignment between product goals and engineering execution
• Lead and provide expert support for data collection, data validation, data visualization, and analytics initiatives • Apply disciplined methodologies for the planning, analysis, design, and development of information systems on an enterprise-wide basis or across a business sector • Develop analytical techniques and methodologies to solve complex business and technical problems • Perform strategic systems planning, business information planning, and business analysis • Organize and analyze large volumes of structured and unstructured data sets using data analytical tools • Locate, access, merge, clean, and standardize data from multiple sources, and develop derived metrics • Create and implement data collection and analysis tools using programming languages such as Python, Databricks, SQL, Scala, R, and Java • Design, script, debug, and analyze data engineering solutions • Implement and create machine learning-based tools and processes • Apply distributed and parallel processing technologies (e.g., Spark) to handle big data analytics tasks involving large data volumes • Perform SQL Server data imports from CSV and TXT files • Leverage Excel and Google Suite for data analysis, reporting, and collaboration • Utilize supporting tools and platforms such as Pentaho (data import/transformation), Azure Data Studio, GitHub, and Smartsheet as needed • Document task requirements, work completed, processes, and technical details thoroughly • Communicate effectively with stakeholders across technical and business teams • Operate independently as a subject matter expert in a fast-paced, entrepreneurial environment
Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
Role Description The Data & Analytics team consists of data analysts, data engineers, and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data here at Mediavine. A Data Engineer at Mediavine will help build and maintain our data infrastructure, including: - Building scalable data pipelines - Managing transformation processes - Ensuring data quality and security at all steps - Writing and maintaining code in Python and SQL - Developing on AWS - Selecting and using third-party tools like Rundeck, Metabase, and others Essential Responsibilities include: - Create data pipelines that make data available for analytic and application use cases - Develop self-healing, resilient processes - Create meaningful data quality notifications - Lead projects from a technical standpoint, creating project Technical Design Documents - Support data analysts and analytics engineers - Participate in code reviews - Build or implement tooling around data quality, governance, and lineage - Provide next-level support for data issues - Work with data analysts and analytics engineers to standardize transformation logic - Enable analytics engineers and data analysts by providing data modeling guidance Qualifications - 3+ years of experience in a data engineering role - Strong Python skills (understands tradeoffs, optimization, etc.) - Strong SQL skills (CTEs, window functions, optimization) - Experience working in cloud environments (AWS preferred, GCS, Azure) - Experience managing complex dbt environments with hundreds or more flows - Understanding of how to best structure data for analytics - Familiarity with calling APIs to retrieve data - Experience working with DevOps to deploy, scale, and monitor data infrastructure - Scheduler experience either traditional or DAG based - Experience using LM-powered tools for code generation, documentation, and architectural diagramming - Comfortable working with multi-TB cloud data warehouses (Snowflake preferred) - Experience with other DBMS systems (Postgres in particular) - Ability to travel up to approx 15% Requirements - Experience with web analysis such as creating data structures that support product funnels, user behavior, and decision path analysis - Understanding of Snowflake external stages, file formats, and snowpipe - Experience managing the semantic layer in either dbt or Snowflake - Experience with orchestration tools across different technologies and stacks - Knowledge of Ad Tech, Google Ad Manager - The ability to make your teammates laugh - Familiarity with event tracking systems (Snowplow, etc.) - Experience with one or more major BI tools (Omni, Sigma, Metabase, etc.) Benefits - 100% remote - Comprehensive benefits including Medical, Dental, Vision, Disability, and Life Insurance - 401(k) with company matching - Generous PTO - Wellness initiatives and employer-sponsored mental health resources - Professional development opportunities - Inclusive, collaborative, and entrepreneurial company culture
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SQL, Python, Azure, AWS, Amazon Redshift, Cloud
