ZipRecruiter

Log In

1

Associate Bioinformatics Scientist Jobs (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position Summary The Manager, Bioinformatics leads a team of bioinformatics scientists responsible ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position Summary The Manager, Bioinformatics leads a team of bioinformatics scientists responsible ...

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Position SummaryThe Manager, Bioinformatics leads a team of bioinformatics scientists responsible ...

New

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

JOB SUMMARY The Associate Director of Bioinformatics Innovation is responsible for driving the ... D. in Bioinformatics, Computational Biology, Genetics, Computer Science, Biomedical Engineering, or ...

next page

Showing results 1-20

All JobsAssociate Bioinformatics Scientist Jobs

Associate Bioinformatics Scientist information

See salary details

$18

$35

$57

How much do associate bioinformatics scientist jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for associate bioinformatics scientist in the United States is $35.92, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $40.87 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be an associate bioinformatics scientist?

To thrive as an Associate Bioinformatics Scientist, you need a solid background in molecular biology, statistics, and computer science, usually demonstrated by a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST, GATK), and knowledge of data visualization platforms are typically required. Strong analytical thinking, effective communication, and problem-solving abilities help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for generating meaningful biological insights from large datasets and advancing research projects efficiently.

What is an associate bioinformatics scientist?

Associate Bioinformatics Scientists are entry- to mid-level professionals who analyze and interpret complex biological data, often using computational tools and techniques. They typically work in research institutions, pharmaceutical companies, or healthcare organizations, supporting projects related to genomics, drug discovery, or personalized medicine. Their responsibilities include managing large datasets, developing bioinformatics pipelines, and collaborating with other scientists to extract meaningful insights from biological data. This role often requires proficiency in programming languages such as Python or R, as well as a strong foundation in biology and statistics. Associate Bioinformatics Scientists play a crucial role in advancing scientific discoveries by bridging the gap between biology and data science.

What challenges do associate bioinformatics scientists face when working on interdisciplinary research teams?

Associate Bioinformatics Scientists often collaborate with biologists, clinicians, and software engineers, which can present challenges in translating complex biological questions into computational analyses. Navigating differing technical languages and aligning on project goals requires strong communication and adaptability. Additionally, managing evolving research priorities and handling large, diverse datasets demand organizational skills and the ability to quickly learn new analytical tools. Building strong relationships with team members helps bridge knowledge gaps and ensures more effective project outcomes.
What cities are hiring for Associate Bioinformatics Scientist jobs? Cities with the most Associate Bioinformatics Scientist job openings:
What are the most commonly searched types of Bioinformatics Scientist jobs? The most popular types of Bioinformatics Scientist jobs are:
What states have the most Associate Bioinformatics Scientist jobs? States with the most job openings for Associate Bioinformatics Scientist jobs include:
Associate Bioinformatics Scientist jobs near you
Infographic showing various Associate Bioinformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,723 per year, or $35.9 per hour.

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$75K/yr

Full-time

Re-posted 8 days ago

Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literate‑programming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

 

Supervisory Responsibilities:

  • May serve as a bioinformatics task lead.

 

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.