Salesforce Developer II ( remote )

Build the data foundation that powers patient‑centric decisions Ascendis Pharma is a growth‑stage biopharmaceutical company guided by the core values Patients · Science · Passion. To strengthen our cloud‑native commercial and medical data platform, we are looking for a Data Engineer who combines solid data‑pipeline craftsmanship with a collaborative, product‑oriented mindset. You will join the same agile product team as our analysts, working in rapid product‑discovery cycles to deliver trustworthy data that drives access to life‑changing therapies. Your four focus areas 1. Data Engineering Design, build and maintain scalable ELT pipelines that ingest Patient Support Program, Specialty Pharmacy, Claims, CRM, Marketing, Medical and Financial data. Implement automated data‑quality checks, monitoring and alerting. 2. Data Modelling Develop canonical data models and dimensional marts in our up-coming Databricks Lakehouse to enable self‑service analytics. Apply best‑practice naming, documentation and version control. 3. Collaboration & Facilitation Work side‑by‑side with analysts and product owners to translate business questions into robust technical solutions. Lead whiteboard sessions and spike explorations during product discovery. 4. DevOps & Continuous Improvement Configure CI/CD pipelines for data code, automate testing and promote reusable patterns. Keep an eye on performance, cost and security, driving iterative enhancements. Key responsibilities Engineer reliable, end‑to‑end data flows using Spark SQL and Pyspark notebooks in Databricks (nice to have). Orchestrate and schedule batch & streaming jobs in Azure Data Factory or similar tools. Develop and maintain dbt models (nice to have) to standardise transformations and documentation. Implement data‑cataloguing, lineage and governance practices that meet pharma‑compliance requirements. Drive alignment with analysts to optimise queries, refine schemas and ensure metrics are consistent across dashboards to ensure stakeholders have a single source of truth for decision-making Contribute to agile ceremonies (backlog refinement, sprint reviews, retros) and actively champion a culture of data craftsmanship. Why Ascendis Mission that matters – Our pipelines accelerate insight generation that expands patient access to vital therapies. Modern stack – Azure, Databricks, dbt, GitHub Actions – with room to propose new tools. End‑to‑end ownership – Influence everything from ingestion to visualisation in a small, empowered team. Hybrid flexibility & growth – Work three days onsite, enjoy generous benefits, great snacks and pursue clear technical or leadership paths. Requirements What you bring Experience – 3–7 years in Data Engineering or Analytics Engineering, ideally in pharma, biotech or another regulated, data‑rich environment. Core toolkit – Advanced SQL and Python. Solid experience in dimensional modelling. Nice‑to‑have – Hands‑on with Databricks notebooks/Lakehouse and dbt for transformation & testing. Product mindset – Comfortable iterating fast, demoing early and measuring impact. Communication & teamwork – Able to explain trade‑offs, write clear documentation and collaborate closely with analysts, product managers and business and other stakeholders. Quality focus – Passion for clean, maintainable code, automated testing and robust data governance. Benefits 401(k) plan with company match Medical, dental, and vision plans Company-offered Life and Accidental Death & Dismemberment (AD&D) insurance Company-provided short and long-term disability benefits Unique offerings of Pet Insurance and Legal Insurance Employee Assistance Program Employee Discounts Professional Development Health Saving Account (HSA) Flexible Spending Accounts Various incentive compensation plans Accident, Critical Illness, and Hospital Indemnity Insurance   Mental Health resources Paid leave benefits for new parents A note to recruiters: We do not allow external search party solicitation.  Presentation of candidates without written permission from the Ascendis Pharma Inc Human Resources team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed.  If this occurs your ownership of these candidates will not be acknowledged.

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We are looking for a health technology developer, ideally with experience with modern healthcare standards. Your job will be to work with and be part of a global effort to model and build technology solutions for healthcare. Some of your work will be open source. Our commitment to continuous investment in learning and contribution to the evolution of health technology fuels our enthusiasm for the future and potential to revolutionize the sustainability and practice of medicine. Responsibilities Design and implement product features in Java and Spring apps Engage with and learn from HL7/FHIR health informatics community around standards-based approaches to modeling and solving healthcare use-cases Consult with our clients and provide strategic advice on how to use technology to solve their problems Be accountable for ensuring that all working hours are accurately reported Requirements Desire to work on health technology Have 3+ years experience developing software professionally Experience in Java and Spring Worked on production applications (bonus) Experience building health technology systems with FHIR and CQL Proficiency with HAPI and the Java FHIR client libraries Proficiency in other programming languages, such as TypeScript and Kotlin Worked on design, development, and devops of production Java applications in healthcare Benefits We operate in small, cross-functional, long-lived teams. This is a remote or in-person position - we are based in the Boston area, but remote work from anywhere in the US is acceptable. Some amount of travel is possible. We provide a competitive salary, a self-directed 401K plan, 100% coverage of health insurance premiums, an annual budget for professional development and conferences, along with many other perks.

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Job Title Principal Software Engineer - Python AI Pipelines Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing. ● Deploy and manage containerized services using Docker. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Work with cloud services and distributed architectures to ensure high availability. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems ● Experience with Machine Learning Tools and Frameworks ● Expertise in building scalable APIs (REST, GraphQL, gRPC). ● Hands-on experience with Docker and containerized application development. Great to Have ● Strong experience with workflow orchestration, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery). ● Familiarity with PromptFlow or similar workflow automation tools. ● Experience working with cloud-based distributed systems (AWS, GCP, Azure).

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