Bioinformatics Engineer

Prima Mente-posted 20 days ago

Full-time • Mid Level

San Francisco, CA

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Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases.

Set up and framework experimental hypotheses focussed on available datasets and models, with downstream evaluation criteria to assess performance.
Identify and curate public and proprietary datasets across different multi-omic, multi-modal types.
QC and data analysis.
Multi-omic bioinformatics pipeline development.
Cloud infrastructure.
Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application.
Work with experimental and machine learning teams to confirm and refine computational findings.
Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology.

Top tier publications.
Patent experience.
First-hand experience with generating biological insights from biological data (genomics, epigenetics, transcriptomics proteomics, ATAC-Seq).
Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack.
Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers, including but not limited to NextFlow.
Expertise with statistical approaches applied to evaluating biological datasets.
Strong working knowledge with cloud computing environments, including but not limited to AWS.
Domain knowledge with advanced artificial intelligence approaches and experience applying them to a biological context.
Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia.
Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL.

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