Technical Support Engineer (New York/New Jersey)
$79,500 per year
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Posted 4 days ago
SENIORITY
Lead
SALARY
$79,500 per year
About the role
- Provide support for internal and external customers
- Manage work requests that describe particular issues, software bugs or customer problems
- Develop appropriate fixes or SQL scripts to resolve customer problems, or identify existing scripts or patches that must be applied
- Provide general process analysis and make recommendations for improvements
- Participate in weekly (and occasional weekend) on-call rotations for urgent off-hours issues
- Participate in taking calls (during business hours) from VIP customers for urgent issues
- Distinguish between application database, operating system, network, and hardware problems and properly take ownership of issues through to resolution
- Present complex technical information to non-technical audiences
- Provide accurate and complete problem resolution documentation for future reference and management reporting
- Take part in the creation and maintenance of knowledge base data
- Continually increase subject matter knowledge on Medidata products
- Interact with other Medidata teams to ensure application efficiency, effectiveness and conformance with regulatory and legislative controls
- Reproduce technical problems, debug systems, diagnose causes, identify temporary and long-term solutions and communicate status updates to clients
- Bachelor's degree preferably in Computer Science, Information Systems or Life Sciences, or equivalent engineering experience
- Experience with API/web services.
- SQL experience querying and modifying data using MYSQL, MS SQL Server, MongoDB, Snowflake
- Experience with C#, Javascript, Visual Studio, Ruby, Python and ASP.NETExperience using Incident Management and/or Project Management software
- Experience with multiple integrated software products/services
- Experience working with customers to resolve complex issues in a professional manner including finding innovative workarounds to issues
- Experience with Git, Visual Studio, Virtual Machines, Excel, Postman or other API/REST client
- Strong interpersonal and collaborative skills
- Proficiency using GitHub Copilot, Gemini, or ChatGPT for technical problem-solving, code explanation, and script generation.
- Familiarity with using LLMs (e.g., NotebookLM) for document synthesis, knowledge retrieval, and technical research.
- Basic understanding of prompt engineering principles to extract accurate, secure, and context-aware responses from AI tools during live troubleshooting.
- Willingness to learn and adopt proprietary Medidata AI systems and specialized clinical platform models.
- Proven ability to exercise 'human-in-the-loop' oversight, identifying potential AI hallucinations or errors in generated technical documentation and code.
- Strong understanding of data privacy requirements when interacting with AI tools, ensuring that sensitive clinical trial information or PII is never exposed to non-compliant or public model environments.
- Bonus Experience:
- Medidata Platform & Technical Expertise: Hands-on experience with Medidata Rave EDC, RTSM, eCOA, CTMS, or similar clinical data management systems, specifically including troubleshooting data validation rules and edit check logic.
- Clinical Industry Domain Knowledge: Prior experience in the Life Sciences, Pharmaceutical, or Clinical Research industry with a strong understanding of clinical trial workflows and regulatory environments.
- As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
