Scientist, Bioinformatics

InVitro Cell Research, LLC; Englewood (NJ); On-site; USD 155,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A biotechnology firm in Englewood, NJ is seeking a Biomedical Scientist specializing in bioinformatics. Ideal candidates will have an MS or PhD in Biomedical Science and extensive experience in computational biology and data science. Responsibilities include conducting bioinformatics analyses, engaging in multi-omic integration, and discovering personalized biomarkers. Strong machine learning skills and expertise programming in Python are essential. This full-time position offers a competitive salary range of $155,000 - $230,000 annually, alongside benefits like medical and vision insurance.

Qualifications

• An MS or PhD in a Biomedical Science and extensive experience with computational biology, bioinformatics and data science.
• Experience incorporating AI tools into bioinformatics workflows.
• Expertise in multi-omics integration and systems biology.

Responsibilities

• Conduct complex bioinformatics analyses on large datasets.
• Engage in multi-omic integration under the personalized medicine paradigm.
• Discover personalized biomarkers to aid in unraveling complex phenotypes.

Skills

Computational biology

Data science

Machine learning

R programming

Education

MS or PhD in Biomedical Science

Tools

Python

GitHub

Job description

InVitro Cell Research, LLC provided pay range

This range is provided by InVitro Cell Research, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$155,000.00/yr - $230,000.00/yr

Additional compensation types

Annual Bonus

Direct message the job poster from InVitro Cell Research, LLC

Biomedical Scientist – Bioinformatics

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 genomics, 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 and extensive experience with computational biology, bioinformatics and data science
• Experience incorporating AI tools into bioinformatics workflows
• 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 such as 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 Experience

• R programming

Additional Requirements

• Ability to work in the United States without sponsorship
• A can‑do attitude and a friendly, easygoing personality

Benefits

• Medical insurance
• Vision insurance
• 401(k)

Compensation

The compensation ranges listed below are starting ranges.

Starting base salary range: $155,000/yr - $230,000/yr

Seniority Level

Associate

Employment Type

Full‑time

Job Function

Research and Science