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Entry Level Bioinformatics Analyst Jobs (NOW HIRING)

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

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Entry Level Bioinformatics Analyst information

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How much do entry level bioinformatics analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level bioinformatics analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.
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What job categories do people searching Entry Level Bioinformatics Analyst jobs look for? The top searched job categories for Entry Level Bioinformatics Analyst jobs are:
Infographic showing various Entry Level Bioinformatics Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.

Bioinformatics Analyst

Centrillion Technologies, Inc.

Palo Alto, CA

$65K - $90K/yr

Full-time

Posted 15 days ago


Job description

Centrillion Technologies develops advanced DNA Chips which have a wide range of applications, including whole genome sequencing, spatial biology, digital pathology, next generation genotyping, synthetic biology and DNA computing. Our world’s most advanced high resolution and highly sensitive spatial chips, chemistry, its lithographic design and encoding technologies have been licensed to 10x Genomics for spatial genomics and the spatial technologies have been commercialized as through 10x Genomics’ Visium HD spatial chips, exclusively in US and Centrillion’s Zipcode spatial chips for single cell level spatial genomics and digital pathology.

Our Palo Alto facility functions as a research institute where our team of scientists work on the latest in chemistry, biochemistry, genomics, electronics, artificial intelligence, and bioinformatics. Our current focus areas are chromosomal scale DNA sequencing, next generation genotyping, and exploratory DNA computing research.

Centrillion’s Molecular Vision Laboratory (MVL) is a leader in identification of genetic mutations in vision disorders. Centrillion is backed by venture capital and strategic investors and has operations in Silicon Valley, CA, Portland, OR and in Asia Pacific.

Bioinformatics Analysts

As a Bioinformatics Analyst, you will be responsible for developing algorithms and tools/pipelines for data analysis, including new genome sequencing data, genotyping data and other biomedical data. You will perform data analysis and benchmark analytical algorithms, tools and pipelines; participate in product development and customer support projects; explore new frontiers of data analysis; and take on other tasks that the supervisor sees fit. The bioinformatics analyst is also expected to collaborate effectively internally with molecular biologists, manufacturing, engineering and other departments as well as external academic and clinical researchers.

We have two positions open – one entry level with BS degree required; and one mid-level with MS degree required.

Requirements:

  • BS or MS in statistics, applied mathematics, computer science or other computational science

  • Knowledge about next generation sequencing (NGS), genotyping and other biotechnologies

  • Familiarity with NGS data analysis algorithms and tools/pipelines

  • Programming skills with C++, Python or Perl, R

  • Fast learner and willing to learn new skills and technologies

  • Team player with good communication skills

Desirable:

  • Expertise in machine learning algorithms

  • Experience in Next Generation Sequencing (NGS) bioinformatics pipelines/tools

  • Genomics software: Mutect, Varscan2, or similar

  • Standard genomics software (BWA, GATK, SAMTools or similar)

  • Databases (Cosmic, TCGA, etc)

  • Familiarity with various assays, sequencing modes and analysis approaches (WGS vs. Exome, RNA-seq)

  • BASH scripting and Unix/Linux command line tools

  • Databases – SQL and NoSQL

Applicants must be authorized to work for ANY employer in the United States on a permanent basis. We are unable to sponsor or take over sponsorship of an employment visa at this time.

The expected salary range for this position is between $65,000 to $90,000. Actual pay may be more or less than the posted range. Centrillion considers a variety of factors when determining base compensation, including, but not limited to, job-related knowledge, skills, experience, education, position level and geographical location. These considerations mean actual compensation will vary. This position may also be eligible for annual bonus and equity grants, in addition to a full range of financial, health and wellness benefits, depending on the position offered.

Centrillion Technologies, Inc. is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the Individuals seeking employment at Centrillion are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.