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Summer Genomic Data Analyst Jobs (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows. * Lead analytical development ...

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. ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Experience managing and integrating large biomedical or genomic datasets * Strong background in statistical analysis, data modeling, and computational methods * U.S. citizenship required; ability to ...

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. ...

Washington University of St. Louis

$17.10 - $29.09/hr

This role focuses on working with large genomic datasets to analyze data from whole genome and exome sequencing, short- and long-read RNA sequencing, long-read genome sequencing, and epigenomics data.

Cook Children's

Bioinformatician

Fort Worth, TX

Experience * 2 years experience in genomic data processing, variant annotation, or large-scale data analysis * Demonstrated proficiency in R and/or Python, SQL, Linux/Unix environments, and common ...

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Summer Genomic Data Analyst information

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$34K

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$136K

How much do summer genomic data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for summer genomic data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What types of projects and data analyses can a Summer Genomic Data Analyst expect to work on, and how is mentorship typically provided during the internship?

As a Summer Genomic Data Analyst, you can expect to work on projects involving large-scale genomic datasets, such as analyzing DNA sequencing data, identifying genetic variants, or exploring gene expression patterns. Daily responsibilities often include cleaning and processing raw data, running bioinformatics pipelines, and interpreting results under the guidance of more experienced team members. Mentorship is typically structured through regular meetings with a supervisor or postdoctoral researcher, who provides feedback, technical support, and career advice. You'll also have opportunities to collaborate with other analysts and scientists, fostering valuable teamwork and communication skills.

What are the key skills and qualifications needed to thrive as a Summer Genomic Data Analyst, and why are they important?

To thrive as a Summer Genomic Data Analyst, you need a solid background in biology, statistics, and data analysis, often supported by coursework or experience in genomics and bioinformatics. Familiarity with programming languages such as Python or R, experience with genomic databases, and knowledge of tools like BLAST or GATK are typically required. Strong analytical thinking, attention to detail, and effective communication are soft skills that set candidates apart. These skills are crucial for accurately interpreting complex genomic data and contributing valuable insights to research projects within tight timelines.

What does a Summer Genomic Data Analyst do?

A Summer Genomic Data Analyst is typically a temporary or internship position where individuals work on analyzing and interpreting large sets of genomic data, often as part of a research team. They use bioinformatics tools and statistical methods to process DNA, RNA, or protein sequencing data, draw meaningful conclusions, and assist in the discovery of genetic patterns or variants. This role often involves programming, data visualization, and collaboration with scientists to support biological or medical research projects. Summer Genomic Data Analysts gain valuable hands-on experience in genomics and computational biology during their internship period.
What cities are hiring for Summer Genomic Data Analyst jobs? Cities with the most Summer Genomic Data Analyst job openings:
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Summer Genomic Data Analyst jobs near you
Senior Manager, Predictive Analytics

Senior Manager, Predictive Analytics

Regeneron

Tarrytown, NY • On-site

Full-time

Posted 16 days ago

Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

14th of 86 rated pharmaceutical

Job description

Job Summary:
Regeneron is seeking a highly motivated and talented Senior Manager of Predictive Analytics to join the Regeneron Genetics Center (RGC) to pioneer clinical use cases for proteomic and genomic data. The role involves developing predictive models on large integrated datasets and collaborating with cross-functional teams to advance key initiatives in disease prediction and research.
Responsibilities:
• Plan, develop, and execute large-scale analyses of proteomic and genomic datasets, with an emphasis on aging and age-related diseases.
• Develop and implement methods for data harmonization and normalization across distinct cohorts to ensure consistency and reproducibility of results.
• Evaluate statistical methods for disease risk prediction, and if necessary, develop new methods
• Turn disease prediction needs from other teams and collaborators into concrete project/budget proposals
• Stay informed on emerging market trends in disease prediction and applications of genomics data to continuously refine research directions
• Deliver clear and concise presentations of genomics and proteomic findings to leadership, ensuring alignment with organizational goals and priorities
• Ability to provide data to internal, external, and non-scientific audience
• Design, implement, and optimize data pipelines for high-throughput genomic and proteomic workflows, ensuring efficient processing of large-scale proteomic datasets.
• Develop and integrate robust quality control (QC) measures at multiple stages of analysis pipelines to ensure data accuracy, consistency, and reproducibility.
Qualifications:
Required:
• A PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related disciplines) and at least five years of experience analyzing large-scale genomics data, or a bachelor's degree with at least 8 years of relevant experience.
• Demonstrated expertise in statistics, machine learning and predictive analytics applied to biological data.
• Demonstrated aptitude for translating research results into products or prototypes.
• Proven ability to independently lead and manage research projects from conception to completion.
• Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams.
• Demonstrated ability to present data, insights, and recommendations effectively to stakeholders at all levels of the organization.
Preferred:
• Candidates with prior industry experience are preferred.
• Experience in exploratory data analysis, applied statistics, or software engineering is preferred in one or more of these domains.
Company:
Regeneron Pharmaceuticals specializes in the discovery, development, and commercialization of innovative medicines. Founded in 1988, the company is headquartered in Tarrytown, USA, with a team of 10001+ employees. The company is currently Late Stage.

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