Pay Rate Low: 35 | Pay Rate High: 40
Our client is an innovative biotechnology company seeking a Computational Scientist to support advanced research initiatives focused on analyzing large-scale single-cell perturbation datasets.
Title: Computational Scientist - Single-Cell Genomics & Perturbation Biology
Location: Remote (Must be open to working PST)
Schedule: Full-Time (40 hours/week)
Duration: 12-Month Contract (+Benefits)
Pay rate: $35-40/hr
In this role, you will leverage computational approaches to generate biological insights that accelerate target identification, drug discovery, and the development of next-generation therapeutics. This role will partner with cross-functional teams of computational scientists, biologists, and data scientists to generate biological insights from high-content sequencing data while contributing to scalable computational pipelines and best practices.
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.
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