Role Description - Design and implement new algorithms and functionalities in data tools - Build and manage large-scale datasets with high quality and diversity - Collaborate cross-functionally to convert data needs into solutions - Contribute to publications and open-source research efforts - Support innovation in AMI (Artificial Machine Intelligence) from a data perspective Qualifications - 8+ years of experience in LLMs, foundation models, and data research - Bachelor's degree in Mathematics, STEM, or Computer Science - Strong experience with PyTorch and Python for ML tasks - Familiarity with cloud clusters - Hands-on experience in machine learning/optimization Requirements - Graduate degree in core ML theory development (preferred) - Prior experience in large-scale applied research environments (shorter ramp-up period preferred) Company Description PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services. - IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. - Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

• Provide study oversight as the primary liaison between CRAs, internal staff, study site staff including investigators, coordinators, client personnel, and external vendors involved in all stages of the study • Ensure clinical monitoring activities of the study CRA team(s) are performed in accordance with applicable Standard Operating Procedures (SOP), regulations, good clinical practices, key performance indicators, and study-specific requirements • Develop, review, and manage clinical plans and guidelines, including the clinical monitoring plan and study timelines; ensure compliance with monitoring intervals according to project requirements, review data reports, CTMS, disseminate listings/reports to study CRAs, and work with CRAs and site staff to resolve data discrepancies • Create annotated visit report templates and other documents and strategies related to site management and monitoring • Support training and development of team members, ensure compliance with study specific training requirements, and ensure training is appropriately documented • Guide and support CRAs, CTAs, and external contract research organizations regarding monitoring, co-monitoring, training, and audit visits; review site visit reports and monitoring letters in accordance with study and SOP requirements • Manage oversight of the Trial Master File (TMF)/eTMF and assist with filing and quality control • Track serious adverse events, protocol deviations, enrollment, ICFs, study contacts, investigational supplies, and investigational product for assigned study and review with appropriate members of the study team • Perform qualification, initiation, interim, and close out visits and provide visit reports as per monitoring guidelines as needed

• Own the end-to-end execution of quantitative research projects, supporting stakeholders through the full research lifecycle—from survey design and programming to data analysis, reporting, and insight development. • Manage multiple projects simultaneously, ensuring high-quality deliverables, accurate data processing, and timely communication of project progress. • Develop survey questionnaires aligned with research objectives and business questions. • Apply survey design best practices, including question clarity, logical flow, and bias mitigation. • Program surveys using platforms such as Qualtrics, Decipher, or similar survey tools. • Conduct comprehensive quality assurance (QA) testing to ensure survey functionality and respondent experience. • Clean, validate, and prepare survey datasets for analysis. • Create research reports, presentations, and summaries that communicate key findings effectively.

• As a Market Research Analyst, you will own the end-to-end execution of quantitative research projects, supporting stakeholders through the full research lifecycle—from survey design and programming to data analysis, reporting, and insight development. • You will manage multiple projects simultaneously, ensuring high-quality deliverables, accurate data processing, and timely communication of project progress. • This role requires strong expertise in survey methodology, survey programming, data analysis, and reporting, along with exceptional attention to detail and the ability to translate complex findings into clear, actionable business insights.