Key Responsibilities Design & Development: Create and test prototypes, disease models, and product designs aligned with regulatory standards.Clinical Collaboration: Work with KOLs and advisors to translate clinical needs into product solutions.Testing & Validation: Conduct in-vitro, in-vivo, and V&V testing; develop protocols and reports.Documentation & Compliance: Ensure quality system documentation and adherence to FDA regulations.Supplier Management: Source and maintain relationships with component suppliers.IP Development: Contribute to patent filings and invention disclosures.Cross-functional Teamwork: Represent R&D on core teams and support pilot manufacturing.Technical Leadership: Guide technology development teams and manage resources.  Qualifications Education: Bachelor’s (Master’s/PhD preferred) in Mechanical or Biomedical Engineering.   Experience:10+ years in medical device engineering.3+ years leading cross-functional teams.Expertise in balloon catheters, access/delivery systems, and disposable devices.   Skills:Strong material and design knowledge.Effective communicator and independent operator.Adaptable to fast-paced environments

SciPro has partnered with a high-growth cloud-based healthtech company at the forefront of digital transformation in life sciences, seeking a Data Architect. With deep integration across the world’s leading cloud and AI platforms, this company is redefining how scientific organizations collect, structure, and activate their R&D data to power next-generation discovery. They are looking for a Data Architect to collaborate directly with scientific stakeholders and internal cross-functional teams to deliver complex, data-centric solutions across the biopharma ecosystem. This role is key to translating lab-based workflows into scalable digital solutions, driving implementation of scientific data pipelines, and accelerating customers’ ability to leverage AI-ready data. This role is located in Boston, New York City, or San Fransisco. Responsibilities Translate lab workflows and scientific use cases into data-driven solutions using the company’s proprietary platformDevelop and implement technical components including Python-based data parsing, structured data design (JSON schemas), and lab software integration via APIsCreate interactive visualizations using Python (Jupyter, Streamlit, hvPlot, etc.) or commercial BI tools (PowerBI, Tableau, Spotfire)Conduct detailed interviews with customer teams to gather business and scientific requirementsWork cross-functionally with customer stakeholders and internal teams to ensure delivery of fit-for-purpose solutionsLead account sprint planning, manage delivery milestones, and communicate progress through customer demos and updatesIdentify reusable solution components to inform future product developmentServe as a technical and scientific thought partner to customers, enabling long-term platform adoption and impact  Main Qualifications 7+ years (PhD) or 10+ years (Masters) of hands-on experience using Python for data analysis, automation, or scientific data engineering3+ years of experience in the life sciences domain (biotech, pharma, bioinformatics, or scientific software vendor)Strong Data Modelling skills (SQL, noSQL, Ontologies)Strong ability to translate complex scientific needs into technical specifications and data architecturesExperience integrating ELNs, LIMS, or other lab systems via APIsExcellent communication, critical thinking, and problem-solving skills with a collaborative mindsetStrong customer orientation and the ability to manage delivery independently in a fast-paced environmentFamiliarity with cloud technologies (AWS, Azure, GCP) is a plus