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Senior Scientist – Computational Biology
| Company | Sana Biotechnology |
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| Location | Cambridge, MA, USA |
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| Salary | $90000 – $205000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- PhD in computational biology, bioinformatics, genetics, or related discipline with 5+ years of industry experience (or MSc with 8+ years of industry experience)
- Strong scientific background including an understanding of molecular biology and genomics
- Familiarity with NGS platforms and hands-on experience with all steps for analyzing NGS data
- Demonstrated proficiency in scripting languages such as Python and familiarity with a compiled language such as C/C++ or Java
- Routine use of version control such as git
- Experience with high performance computing
- Demonstrated strong analytical skills and problem-solving
- Be detail oriented, self-motivated and able to prioritize multiple projects concurrently
Responsibilities
- Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq
- Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls
- Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines
- Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings
- Communicate to a broad audience with a range of technical, analytical, and biological expertise; present results on a regular basis at various group meetings
Preferred Qualifications
- Experience with variant calling, annotation, and interpretation for low frequency somatic mutations
- Experience with transcriptome analysis
- Experience with genomic data curation from both low-throughput and high-throughput assays
- Experience with full cycle of assay development, including characterizing NGS artifacts, troubleshooting in collaboration with wet-lab biologists
- Experience with AWS or similar cloud computing platforms
- Familiarity with Docker and a workflow engine such as Nextflow or snakemake
