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Entry Level Genomic Data Analyst Jobs in Edison, NJ

IBX

Bioinformatician III

Piscataway, NJ · On-site

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Genomic data analysis using contemporary tools. * Genomic data wrangling from public sources. * Handling multiple diverse projects at the same time. Programming Proven expertise (1-2 years) in - 1. ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... This is an entry level role requiring the individual to have the aptitude to learn and to ...

Noblesoft Technologies

Sr. Pharma Business Analyst

Rahway, NJ · On-site

$93K - $121K/yr

Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) Must Have Experience: * Functional ...

Tris Pharma Inc

Data & AI Analyst

Monmouth Junction, NJ · Hybrid

We have an immediate opening in our Monmouth Junction, NJ facility for an entry level Analyst, Data Analytics and AI. The Analyst, Data Analytics and Artificial Intelligence (AI) supports and assists ...

Varsity Tutors

Genetics Tutor

Westfield, NJ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

Varsity Tutors

Genetics Tutor

Elizabeth, NJ · Remote

$18 - $40/hr

Guides students through constructing pedigree analyses, solving linkage mapping problems, calculating allele frequencies, and interpreting genomic data. Emphasizes probabilistic reasoning and ...

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All JobsGenomic Data Analyst JobsEntry Level Genomic Data Analyst JobsEntry Level Genomic Data Analyst Jobs in Edison, NJ

Entry Level Genomic Data Analyst information

See Edison, NJ salary details

$13

$34

$63

How much do entry level genomic data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level genomic data analyst in Edison, NJ is $34.09, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $38.08 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Genomic Data Analyst vs Bioinformatics Technician?

AspectEntry Level Genomic Data AnalystBioinformatics Technician
Required CredentialsBachelor's in Genetics, Biology, or related field; basic knowledge of bioinformatics toolsBachelor's in Bioinformatics, Computer Science, or related; familiarity with laboratory data
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, biotech firms
Employer & Industry UsagePharmaceuticals, biotech, academic researchResearch institutions, biotech companies, hospitals
Common Search & ComparisonYesYes

The main difference between an Entry Level Genomic Data Analyst and a Bioinformatics Technician lies in their focus. The analyst primarily interprets genomic data, performs statistical analysis, and supports research projects. The technician typically handles laboratory data management, sample processing, and technical support. Both roles require similar educational backgrounds but differ in daily tasks and focus areas within the genomics field.

How much do entry level genomic data analysts make?

Entry-level genomic data analysts typically earn between $50,000 and $70,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions, but proficiency with tools like R or Python and knowledge of genomics can lead to higher compensation over time.

How to become an entry level genomic data analyst?

To become an entry-level genomic data analyst, candidates typically need a bachelor's degree in biology, genetics, bioinformatics, or a related field. Developing skills in programming languages such as Python or R, understanding genomic databases, and gaining experience with data analysis tools are important. Internships or entry-level positions can provide practical experience and help build relevant skills for this role.

What are popular job titles related to Entry Level Genomic Data Analyst jobs in Edison, NJ?

For Entry Level Genomic Data Analyst jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Entry Level Genomic Data Analyst jobs in Edison, NJ look for?

The top searched job categories for Entry Level Genomic Data Analyst jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Entry Level Genomic Data Analyst jobs?

Cities near Edison, NJ with the most Entry Level Genomic Data Analyst job openings:

Entry Level Genomic Data Analyst jobs near you
Infographic showing various Entry Level Genomic Data Analyst job openings in Edison, NJ as of August 2026, with employment types broken down into 74% Full Time, 5% Part Time, 5% Temporary, and 16% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $70,902 per year, or $34.1 per hour.

Scientist/Sr. Scientist, Bioinformatics Data

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted 6 days ago

Job description

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data.The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.

Key Responsibilities 

  • Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
  • Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
  • Perform quality control, normalization, and batch-correction across heterogeneous datasets.
  • Design, optimize, and maintain robust, scalable bioinformatics pipelines.
  • Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
  • Procure and integrate existing biological databases with internal datasets.
  • Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
  • Collaborate with IT and other functional groups.

Requirements

  • Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
  • Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
  • Ability to turn raw biological data into structured insights.
  • Strong experience with AI application in data science.
  • Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
  • Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
  • Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
  • A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
  • Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
  • Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
  • Creative, innovative and excellent communication and presentation skills.
  • This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.

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