Senior Scientist, Systems Biology

In This Exciting Role, You Will

• Directly contribute to multiple stages of therapeutic development through rigorous design and/or implementation of high-dimensional functional genomics and cellular profiling assays, including in vitro and in vivo pooled/arrayed CRISPR screens, single-cell transcriptomics and lineage tracing, and experimental/in silico derived proteomic datasets.
• Perform statistically rigorous quantitative analyses while employing reproducible research and data integrity practices on large-scale biological datasets.
• Analyze, interpret, and summarize complex biological data; use data visualization tools to communicate findings.
• Identify, analyze, and integrate internal/external data and knowledge resources to enable data mining and actionable learnings for pipeline development.
• Develop and implement experimental and/or computational methods to integrate functional genomics screen findings and other datasets (RNA-Seq, DRUG-seq, WGS, CRISPR, single-cell RNA-Seq, proteomics, metabolomics) with additional biological data streams.

• Provide clear interpretation of high-dimensional data and propose candidates for further computational/biological interrogation.
• Translate biological hypotheses into experimental and/or computational interrogations of functional genomics and multi-omics profiles to drive iterative experimental design decisions.
• Collaborate across disciplines (genetics, chemistry, pharmacology, molecular and cellular biology) to accelerate therapeutics development.

• Survey relevant literature on novel experimental/computational methods and introduce them into in-house workflows.
• Keep up to date on project-relevant literature and attend relevant conferences.
• Participate in workshops and seminars for professional development.

• Ph.D. in Systems Biology, Computational Biology, Computer Science, Biostatistics, Genetics, Immunology, Mathematics, Molecular Biology, Statistics, or related field, plus 2 years of experience.
• OR Master’s in related areas with 6+ years of experience.

• Demonstrated experimental and computational strategies and interpretation of large-scale biological data (sequencing modalities, pooled/arrayed CRISPR-based screens).
• Fluency generating/analyzing large-scale NGS datasets (e.g., RNAseq, WES, scRNAseq, spatial transcriptomics).
• Statistical hypothesis testing and machine learning concepts/methods.
• Experience integrating results from multiple data sources/omics and biological knowledge bases.

• Fluency with experimental and computational methods for high-dimensional biological data; programming for statistical analysis (R, Rshiny, tidyverse, Python, MATLAB) and creating interpretable visualizations.
• Experience with cell culture, RNA/DNA extractions, sequencing library prep, molecular biology tools, and experimental design.
• Experience with HPC, AWS cloud computing, and Linux.
• Version control (Git/Git Hub) and ability to adapt to existing analytic frameworks.

• Understanding pros/cons of algorithms for DNA-seq, RNA-seq, single-cell RNA-seq, and/or functional genomics.
• Familiarity with public repositories and public databases for DNA/RNA/protein/single-cell/functional genomics data.
• Experience extracting meaningful biological insights from high-dimensional readouts.
• Strong publication record.

• Analytical thinking, bioanalytical method development/techniques, computational biology, data analysis, experimentation, genomics, NGS technologies, research proposal development, RNA-Seq, scientific writing, synthetic biology, teamwork, tissue culture techniques, independent working.

• Salary range: $ - $.
• Annual bonus and long-term incentive eligibility (if applicable).
• Comprehensive benefits including medical, dental, vision, retirement (401(k)), paid holidays, vacation, and compassionate and sick days.

Requisition : R392115