
201 - 500 employees
📡 Telecommunications
⚡ Energy
☁️ SaaS
💰 $11M Venture Round - Tribold on 2009-01
Telecommunications • Energy • SaaS
Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.
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201 - 500 employees
📡 Telecommunications
⚡ Energy
☁️ SaaS
💰 $11M Venture Round - Tribold on 2009-01
Telecommunications • Energy • SaaS
Sigma Systems is a software company that provides cloud-native, API-driven BSS/OSS, product catalog, CPQ and order orchestration solutions for communications service providers and energy/utilities companies. It offers modular, TMF-compliant components and managed services — including AI-enabled automation and data-driven tools — to help operators modernize billing, monetization, and customer fulfillment processes with a SaaS and cloud-focused delivery model.
• Serve as the primary biostatistician for a study within a project team • Support study closeout activities • Review, validate, and execute statistical analyses • Review and finalize analysis datasets • Support data quality and consistency checks • Generate tables, figures, and listings • Interpret statistical results • Contribute statistical content for publications • Address publication-related statistical questions • Provide guidance to statistical programmers developing SDTM/ADaM datasets and TLF specifications • Perform quality checks on statistical programming efforts as needed • Collaborate with cross-functional team members, the Medical Strategy lead, and publications specialist • Help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready
• PhD or MS in statistics or biostatistics • Ideal 3-year experience for PhD holders or 5-year experience for MS holders in clinical trials • Broad and thorough understanding of statistical principles, current statistical designs and methodologies, and their applications in clinical trials • Effective writing and communication skills; ability to explain complex statistical design, methodology, decision rules, analysis plans, and statistical reports clearly • Experience with Bayesian modeling and analysis • Experience with SAS programming, R programming, and other statistical software • In-depth knowledge of statistical methods and their application in oncology clinical trials • Experience with CDISC SDTM and ADaM data standards • Ability to guide statistical programmers on SDTM/ADaM datasets and TLF specifications • Strong attention to detail and commitment to statistical analysis and programming output accuracy and integrity • Ability to work effectively as part of a cross-functional team • Strong analytical and problem-solving skills • Strong written and verbal communication skills
• Part-time schedule: 10–15 hours a week for the first three months, then 5–10 hours per week until the engagement ends
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