Computational Scientist (Functional Genomics) - Remote

Key Responsibilities

• Analyze large-scale perturbation sequencing datasets (e.g., Perturb-seq, CROP-seq, multi-condition single-cell RNA-seq).
• Develop and apply computational methods to generate insights that support early-stage therapeutic research.
• Collaborate with interdisciplinary teams across computational biology, biology, chemistry, and data science.
• Contribute to software, analysis pipelines, and workflow improvements for large-scale genomic data analysis.
• Present findings and communicate complex analyses to technical and non-technical stakeholders.

Qualifications

• Master's or PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics, or a related quantitative life science field.
• 1–3+ years of relevant industry or postdoctoral experience.
• Hands-on experience analyzing Perturb-seq, CROP-seq, SciPlex, or other multi-condition single-cell RNA-seq datasets.
• Strong programming skills in Python and/or R.
• Experience working in HPC environments (SLURM, AWS, SGE, or similar).
• Must be authorized to work in the United States without sponsorship.
• Knowledge of workflow management tools such as Nextflow or Snakemake is preferred.
• Strong software engineering fundamentals and experience with version control.
• Excellent analytical, problem-solving, and communication skills.