InVitro Cell Research, LLC
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 role includes using personalized biomarker discovery and integrative -omics to diagnose hard-to-diagnose diseases.
Base pay range $155,000.00/yr - $230,000.00/yr
Additional compensation
Annual Bonus
What you’ll do
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
What you’ll need
An MS or PhD in a Biomedical Science with extensive experience in 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 experience with Bayesian/probabilistic modeling, network-based sample similarity algorithms, factorization methods, data cleaning (batch effect removal, imputation), data transformation and visualization
Solid statistical foundation
Experience programming machine learning and statistical pipelines, preferably in Python
GitHub repository showing your work, preferably linked to publications
Nice to have
R programming
Other 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.
The starting base salary range listed above is the starting range.
Seniority level
Associate
Employment type
Full-time
Job function
Research and Science
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Base pay range $155,000.00/yr - $230,000.00/yr
Additional compensation
Annual Bonus
What you’ll do
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
What you’ll need
An MS or PhD in a Biomedical Science with extensive experience in 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 experience with Bayesian/probabilistic modeling, network-based sample similarity algorithms, factorization methods, data cleaning (batch effect removal, imputation), data transformation and visualization
Solid statistical foundation
Experience programming machine learning and statistical pipelines, preferably in Python
GitHub repository showing your work, preferably linked to publications
Nice to have
R programming
Other 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.
The starting base salary range listed above is the starting range.
Seniority level
Associate
Employment type
Full-time
Job function
Research and Science
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