Bioinformatics Analyst II (Transcriptomics focused)

Katalyst CRO; Branchburg Township (NJ); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading company in drug development is seeking a motivated Bioinformatics Analyst II to help analyze and curate transcriptomics data. The successful candidate will collaborate within a dynamic team, applying advanced bioinformatics skills to support multi-omic research efforts within a fast-paced, innovative environment. This role is crucial for enhancing data management workflows and advancing scientific research in bioinformatics.

Qualifications

• Master's degree with 2+ years experience or PhD.
• Experience in curating and processing transcriptomic datasets.
• Strong proficiency in R and Python for bioinformatics workflows.

Responsibilities

• Support target identification and evaluation efforts.
• Curate and analyze transcriptomics data.
• Work with cross-functional teams on multi-omic data.

Skills

Data Curation

Transcriptomics Analysis

R Programming

Python Programming

Statistical Concepts

High-Performance Computing

Education

Master's degree in Bioinformatics or related field

PhD in quantitative sciences

Job description

Bioinformatics Analyst II (Transcriptomics focused)

Join to apply for the Bioinformatics Analyst II (Transcriptomics focused) role at Katalyst CRO

Bioinformatics Analyst II (Transcriptomics focused)

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Join to apply for the Bioinformatics Analyst II (Transcriptomics focused) role at Katalyst CRO

Job Description

We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data.

Roles & Responsibilities

Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).

Job Description

We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data.

Roles & Responsibilities

Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).

Experience in curating, checking, and processing transcriptomic datasets (such as bulk and single-cell RNA-Seq) and corresponding downstream analyses (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization, and result interpretation).

Demonstrated experience in the analysis and integration of NGS data.

Familiarity with the construction and execution of bioinformatics workflows.

Strong proficiency in R and/or Python programming for bioinformatics workflows.

Knowledge and proficiency in basic statistical concepts.

Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment.

Experience with code reproducibility, e.g. managing github repositories.

Prior research experience in studying immunological diseases areas is a plus.

Skills

Strong experience processing and analyzing Transcriptomic (bulk RNAseq & scRNAseq) data.

Ability to critically evaluate experimental design, QC and suggest improvements.

Strong proficiency in R and/or Python programming for bioinformatics workflows.

Experience working in HPC and cloud environment.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

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