Single-Cell RNA-Sequencing Bioinformatics Consultant (Remote)

Job Description

This data scientist role is truly end-to-end. You’ll be involved from the very beginning, collaborating with clients to understand their needs and define the project’s scope. You’ll then translate these discussions into a clear and comprehensive statement of work (SOW), outlining the project’s objectives, deliverables, and timelines. Once the project is underway, you’ll be responsible for executing the data analysis, utilizing your expertise to uncover insights and trends, within the time estimates you quoted during the SOW phase. Finally, you’ll communicate your findings effectively through compelling presentations and reports, ensuring that the project’s impact is understood by all stakeholders. You’ll be supported by BI’s Head of Business Development and one of BI’s Project Managers.

Responsibilities

Work closely with the Head of Business Development and/or directly with clients to understand their research goals
Work with the Head of Business Development to draft a Statement of Work (SOW) that details your recommended analysis and the completion criteria as discussed with our client
Lead and execute end-to-end, single-cell sequencing data analysis, from pre-processing to advanced downstream analysis, for diverse client projects across a wide variety of domains in genomics and bioinformatics, within the time estimates you quoted during the SOW phase
Data type examples include scRNA-seq, DNAseq, bulk RNAseq, MicroArray, GWAS, WES
Build and refine custom script-based pipelines for single-cell data analysis, utilizing industry best practices and tools
Present analysis results via scientific reports and presentations to external stakeholders
Deliver and install pipeline code for future utility
You may be asked to assist with the maintenance of and improvements to existing client genomic/transcriptomic pipelines, bioinformatics tools, and related software and systems
You may be asked to support projects involving bulk sequencing data processing, analysis, and tool building

Required Skills

PhD or equivalent in Bioinformatics, Computational Biology, or a related discipline with a strong focus on single-cell genomics.
Experience at the bench is preferred
Extensive experience in single-cell data analysis, demonstrated through publications, projects, or industry work
Ability to clearly articulate complex scientific concepts to diverse audiences – most of which aren’t familiar with scRNA seq – and work effectively in a team environment
Ability to forecast the number of hours each sub-task in an analysis will likely require

Qualifications

Demonstrated experience in single-cell RNAseq data preprocessing, processing, analysis, and visualization
Demonstrated experience in bulk RNAseq data preprocessing, processing, analysis and visualization
Demonstrated experience and confidence in writing code in Python or R
Demonstrated experience in using cloud platforms (one of the following: AWS, GCP, Azure)
Demonstrated experience in using containerization platforms ( ex – Docker)
Demonstrated experience in workflow/pipeline management systems (ex – SnakeMake, NextFlow)