Scientist III

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🦌 Connecticut – Remote

🦌 Connecticut – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sigma Systems

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Contribute to oncology drug discovery research through in silico, data-driven approaches • Leverage multi-modal omics data analysis • Collaborate with biologists to solve scientific challenges and advance drug discovery programs • Support oncology drug development efforts • Identify, learn, and apply emerging technologies in data science and cancer therapeutics discovery and development • Apply and develop innovative analysis approaches when standard methods are inadequate • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques • Create meaningful biological insights from analyzed datasets • Follow relevant scientific literature and understand emerging practices • Interpret, report, and present analysis results to biologists and collaborators • Ensure FAIR data analysis with clear documentation and reproducibility

🎯 Requirements

• PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) • Programming experience with Python and R for bioinformatic data analysis in unix-like systems • Proficiency in working with bulk and single cell NGS data • Proficiency in working with high-performance computing clusters (HPC) • Proficiency in biological pathway analysis • Experience with oncology or immunology knowledge, spatial transcriptomics, methylation, liquid biopsy data analysis, or public oncology database datasets is a plus

🏖️ Benefits

• Remote work opportunity