Sr. Director of Product Engineering
New
J
JobgetherLife sciences software
Fully remote position open to candidates based in the United States.Full-TimeDirector
Salary not disclosed
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Job Details
- Experience
- At least 12 years of progressive software engineering experience, including significant leadership responsibility within product development organizations. At least 5 years of experience leading large engineering teams, including multiple teams and/or engineering managers.
- Required Skills
- JavaCI/CDRESTful APIsRDistributed Systems
Requirements
- Hold a bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field; an advanced degree is preferred.
- Have at least 12 years of progressive software engineering experience, including significant leadership responsibility in product development organizations.
- Have at least 5 years of experience leading large engineering teams, including multiple teams and/or engineering managers.
- Bring strong technical expertise in Java, SAS, and R, with the ability to contribute to architecture discussions, design reviews, and technical problem-solving.
- Have significant life sciences experience, particularly with eClinical, Clinical Informatics, biometrics, clinical data, or regulatory-supporting software.
- Have a track record delivering complex enterprise-scale software platforms with scalability, reliability, security, and compliance requirements.
- Have experience with cloud-based environments, APIs, distributed systems, databases, CI/CD pipelines, and modern software delivery practices.
- Understand software quality systems, validation expectations, SDLC controls, audit readiness, and regulated-environment compliance requirements.
- Be able to lead globally distributed teams and collaborate across technical and business functions.
- Have experience with eClinical or Clinical Informatics platforms such as EDC, CTMS, RTSM/IWRS, eCOA, eConsent, safety systems, or data review platforms.
- Be familiar with clinical trial data standards and biometrics workflows, including SDTM, ADaM, TLFs, and statistical reporting processes.
- Experience with AWS or other major cloud platforms, legacy-system modernization, or enterprise platform transformation is preferred.
Responsibilities
- Lead and scale engineering teams responsible for eClinical, Clinical Informatics, data integration, clinical data review, analytics, and biometrics products.
- Provide direction to software developers, architects, engineering managers, and technical leads across multiple teams.
- Define and execute engineering strategy, technical roadmaps, delivery models, and resource plans aligned with product objectives and business priorities.
- Oversee software architecture, system design, coding standards, release management, performance optimization, maintainability, and technical debt reduction.
- Guide enterprise application development using Java, SAS-based clinical and statistical programming environments, and R-based analytical and data science workflows.
- Partner with Product Management, Biometrics, Clinical Data Management, Statistical Programming, Regulatory, and Operations teams to translate requirements into technical solutions.
- Ensure products meet security, privacy, auditability, validation-readiness, and quality requirements in regulated environments.
- Establish and monitor engineering KPIs, quality indicators, delivery metrics, and team performance measures.
- Build, mentor, and retain engineering teams; lead hiring, workforce planning, organizational development, and performance management.
- Work with QA, Validation, Cloud Engineering, DevOps, and Security teams on documentation, testing, reliability, scalability, and operational support.
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