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Overview
We're hiring
Bioinformatics Scientists
with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative -omics to diagnose "hard-to-diagnose" diseases.
Responsibilities
Conduct complex bioinformatics analyses on large transcriptomic, proteomic, metabolomic, and lipidomic datasets from biofluids and cell lines
Engage in multi-omic integration under a personalized medicine paradigm
Discover personalized biomarkers to aid in unraveling complex and obscure phenotypes
Qualifications
An MS or PhD in a Biomedical Science as well as extensive experience with computational biology, bioinformatics and data science
Expertise in multi-omics integration, systems biology, network medicine, precision and personalized medicine
Expertise in perturbation analysis and pathway enrichment analysis (e.g., KEGG, Reactome, MSigDB)
Machine learning skills (e.g., LR, SVM, RF, XGBoost) and extensive experience with Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning (e.g., batch effect removal and imputation), and data transformation and visualization
A solid statistical foundation
Expertise programming machine learning and statistical pipelines, preferably in Python
GitHub repository showing your work, preferably linked to publications
Ideal additional experience
iOS app development
R programming
Linux environments
Outlier detection
Requirements
Ability to work in the United States without sponsorship
A can-do attitude and a friendly, easygoing personality
Position title and compensation are commensurate with experience.
Compensation The compensation ranges listed below are starting ranges.
Starting base salary range: $155,000/yr - $230,000/yr
Starting bonus range: $10,000/yr - $40,000/yr
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Bioinformatics Scientists
with strong backgrounds in computational biology and data science. A deep understanding of both biology and machine learning is required. The position's goals are varied, but include using personalized biomarker discovery and integrative -omics to diagnose "hard-to-diagnose" diseases.
Responsibilities
Conduct complex bioinformatics analyses on large transcriptomic, proteomic, metabolomic, and lipidomic datasets from biofluids and cell lines
Engage in multi-omic integration under a personalized medicine paradigm
Discover personalized biomarkers to aid in unraveling complex and obscure phenotypes
Qualifications
An MS or PhD in a Biomedical Science as well as extensive experience with computational biology, bioinformatics and data science
Expertise in multi-omics integration, systems biology, network medicine, precision and personalized medicine
Expertise in perturbation analysis and pathway enrichment analysis (e.g., KEGG, Reactome, MSigDB)
Machine learning skills (e.g., LR, SVM, RF, XGBoost) and extensive experience with Bayesian/probabilistic modeling, network-based sample similarity algorithms and factorization methods, data cleaning (e.g., batch effect removal and imputation), and data transformation and visualization
A solid statistical foundation
Expertise programming machine learning and statistical pipelines, preferably in Python
GitHub repository showing your work, preferably linked to publications
Ideal additional experience
iOS app development
R programming
Linux environments
Outlier detection
Requirements
Ability to work in the United States without sponsorship
A can-do attitude and a friendly, easygoing personality
Position title and compensation are commensurate with experience.
Compensation The compensation ranges listed below are starting ranges.
Starting base salary range: $155,000/yr - $230,000/yr
Starting bonus range: $10,000/yr - $40,000/yr
#J-18808-Ljbffr