1

Bioinformatics Phd Jobs (NOW HIRING)

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... PhD in a relevant field • Experience with nf-core pipelines and community standards • ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Be Seen First

We are looking for a PHD in Bioinformatics or Biomedical Informatics with experience with ML based prediction, drug repurposing, synthetic data, digital twin, multimodal modeling, imaging, digital ...

S. /PhD in Computational Biology, Bioinformatics or a related field with 3+ yrs industry experience (biotech start-up ideal) * Proficiency in Python & JavaScript & experience in production-quality ...

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

Bioinformatics Leader

Boston, MA · On-site

$200K - $229K/yr

Advanced degree (PhD or Master's) in bioinformatics, computational biology, genomics, or a closely related field, or equivalent applied experience * Deep, hands-on proficiency in bioinformatics tools ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

S. /PhD in Computational Biology, Bioinformatics, Computer Science or a related field with 3+ yrs industry experience (biotech start-up ideal) • Strong proficiency in Python and JavaScript, with ...

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

Qualifications • Requires a PhD with extensive bioinformatic analysis background • Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing ...

next page

Showing results 1-20

Bioinformatics Phd information

See salary details

$59.5K

$94.5K

$149.5K

How much do bioinformatics phd jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bioinformatics phd in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What can I do with a bioinformatics PhD?

A bioinformatics PhD prepares individuals for research and development roles in academia, biotech, and pharmaceutical industries, focusing on analyzing biological data using computational tools and programming languages like Python or R. Graduates often work as bioinformatics scientists, data analysts, or computational biologists, contributing to genomics, personalized medicine, and drug discovery projects. Advanced knowledge of algorithms, statistical methods, and biological databases is essential for these positions.

What are typical projects or responsibilities for someone in a Bioinformatics PhD role?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

Is bioinformatics a high paying job?

Bioinformatics PhDs often earn competitive salaries, especially in biotech, pharmaceutical, and research sectors, with median salaries typically higher than many other science roles. Salary levels depend on experience, location, and industry, with advanced skills in programming, data analysis, and biological sciences increasing earning potential.

Is AI going to replace bioinformatics?

Bioinformatics PhDs utilize AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise. Professionals in this field interpret complex data, develop algorithms, and validate results, making their role essential despite advances in AI technology.

What are the key skills and qualifications needed to thrive in the Bioinformatics Phd position, and why are they important?

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a Bioinformatics PhD job?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

Is it worth getting a PhD in bioinformatics?

A PhD in bioinformatics prepares individuals for research, data analysis, and development of computational tools in the field, often leading to academic, industry, or healthcare roles. It provides advanced skills in programming, statistics, and biology, but requires significant time and effort with variable job prospects depending on the sector and experience level.
More about Bioinformatics Phd jobs
What cities are hiring for Bioinformatics Phd jobs? Cities with the most Bioinformatics Phd job openings:
What states have the most Bioinformatics Phd jobs? States with the most job openings for Bioinformatics Phd jobs include:
Infographic showing various Bioinformatics Phd job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 85% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Posted 26 days ago


Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics workflows for high-throughput sequencing analysis.
Responsibilities:
• Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
• Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
• Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
• Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
• Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
• Implement best practices for workflow versioning, containerization, testing, and documentation
• Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
• Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate
Qualifications:
Required:
• Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
• 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
• Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
• Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
• Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
• Proficiency in Python and/or R for scripting, data manipulation, and tool development
• Experience with containerization technologies (Docker, Singularity)
• Familiarity with version control systems (Git) and CI/CD practices
• Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)
Preferred:
• PhD in a relevant field
• Experience with nf-core pipelines and community standards
• Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
• Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
• Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
• Experience in pharmaceutical, biotech, or regulated research environments
• Familiarity with FAIR data principles and metadata standards
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.