Remote Oncology Data Scientist – Bioinformatics

Sigma Systems, Inc.; Ridgefield (CT); Remote; USD 110,000 - 150,000; Full time

Job summary

Sigma Systems, Inc. is hiring a Remote Scientist III to contribute to oncology drug discovery using in silico data-driven approaches. The role focuses on multi-omics data integration and collaboration with biologists to advance cancer therapeutics from a remote setting.

Candidates should have a PhD in a relevant field and strong Python/R skills for bioinformatics analyses in Unix-like environments, including experience with bulk and single-cell NGS data. HPC experience is preferred.

Qualifications

• PhD required in computational sciences or related field (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
• Experience with oncology or immunology knowledge and datasets is a plus
• Proficiency in HPC environments
• Proficiency in biological pathway analysis

Responsibilities

• Contribute to oncology drug discovery research through in silico data-driven approaches
• Leverage multi-modal omics data analysis and collaborate with biologists
• Identify, learn and apply emerging data science technologies for cancer therapeutics
• Process public and internal datasets using statistical and bioinformatics techniques
• Interpret and present analysis results to biologists and collaborators
• Ensure FAIR data analysis with clear documentation and reproducibility

Skills

Python

R

Bioinformatics

NGS data analysis

HPC

Education

PhD in Computational Sciences or related field

Tools

Unix-like systems

HPC

Job description

Sigma Systems, Inc. is hiring a Remote Scientist III to contribute to oncology drug discovery using in silico data-driven approaches. The role focuses on multi-omics data integration and collaboration with biologists to advance cancer therapeutics from a remote setting.

Candidates should have a PhD in a relevant field and strong Python/R skills for bioinformatics analyses in Unix-like environments, including experience with bulk and single-cell NGS data. HPC experience is preferred.