Responsibilities 

• Designing and building bioinformatics pipelines

• Collaborate with our full-stack engineering team from a bioinformatics perspective on building out efficient, performant, ML-driven -omics workflows, including but not limited to: whole genome/exome sequencing, RNAseq (single-cell and bulk), ChIP-Seq, ATAC-seq (single-cell and bulk), proteomics, metabolomics and drug design

• Creating interactive applications through Python and React

• Engaging with customers (both biologists and bioinformaticians) on their deployment of the Superbio platform

• Propose and implement more sophisticated, bespoke bioinformatics analyses upon customer request

• Research best practices and develop optimal solutions for novel problems

Qualifications

• Strong biology background and excellent interpersonal communication skills

• Experience of applying analysis and/or machine learning techniques in the context of biological research. Knowledge of bioinformatics and data science best practices (Quality-control, exploratory data analyses, existing industry standard open-source tools)

• Experience of conducting analysis using Python and/or R. Experience with specific libraries such as scikit-learn, Keras and Biopython, or their R equivalents

• Experience with building and using bioinformatics workflows

• Ability to research and develop optimal solutions

To apply, please send your resume to apply@superbio.ai

Superbio is an equal-opportunity employer and believes diversity of all types is integral to company success. We do not discriminate on the basis of religion, sexual orientation, gender identity, race, ethnicity, national origin, marital status, veteran status, or disability status.