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. Preferred experience with: Relational databases (SQL, MySQL, PostgreSQL) Programming or scripting languages (Python, PowerShell) Solid grasp of core IT concepts (networking, operating systems, user account
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assigned Knowledge, Skills, Abilities & Work Characteristics Proficiency in Python, R, and Bash scripting for bioinformatics applications. Experience with NGS data analysis, machine learning models, and
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, predictive modeling, and other analytics technology components, such as artificial intelligence, to support an analytics portfolio. Develops, deploys, and maintains data pipelines using tools such as Python
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other analytics technology components, such as artificial intelligence, to support an analytics portfolio. Develops, deploys, and maintains data pipelines using tools such as Python and Airflow. Designs
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
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staff, graduate students, and postdocs as needed Perform other duties as assigned Knowledge, Skills, Abilities & Work Characteristics Proficiency in Python, R, and Bash scripting for bioinformatics
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), and data security best practices. Knowledge of scripting languages (e.g., Python) for automation and data analysis is a plus. Excellent written and verbal communication skills, with the ability
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architecture and lightweight frameworks such as JavaScript, Python, Java, Go, etc. Proven experience in developing and implementing healthcare software solutions and backend infrastructure. Strong knowledge
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and network automation (Python, Ansible, REST APIs). Strong analytical, documentation, and troubleshooting skills. Solid experience with core infrastructure services including DNS, DHCP, and NTP
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such as Python, C#, or Java is a plus but not required. · Microsoft Fabric and Azure data tools development experience is a plus but not required. · Agile, Scrum, DevOps and/or Kanban