Axle Informatics Logo

Axle Informatics

Bioinformatics Engineer

Reposted 2 Days Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in USA
125K-150K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in USA
125K-150K Annually
Mid level
Develop, evaluate, optimize, and maintain production-grade Nextflow genomics pipelines (bulk/single-cell RNA-seq, variant calling, methylation). Architect scalable GCP-based solutions, implement containerization, versioning, testing, and integrate outputs for downstream analysis and visualization.
The summary above was generated by AI

(ID: 2026-1586)


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).


Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

 

Axle is seeking a skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience. 

 

Key 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 

 

Required Qualifications 

  • 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 Qualifications 

  • 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 

 

What We Offer 

  • Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners
  • Collaborative environment with experts in bioinformatics, data science, and software engineering
  • Professional development and growth opportunities
  • Competitive salary and benefits package 

 


Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

#IND

Salary Range
$125,000$150,000 USD

Top Skills

Aws Batch
Bam
Batch
Bed
Bismark
Bwa
Cell Ranger
Ci/Cd
Cloud Storage
Compute Engine
Cromwell
Docker
Fastq
Gatk
Git
Google Cloud Platform
Life Sciences Api
Nextflow (Dsl2)
Nf-Core
Plotly
Python
R
R Shiny
Salmon
Scanpy
Seurat
Singularity
Star
Vcf

Similar Jobs

18 Days Ago
Remote
US
117K-147K Annually
Senior level
117K-147K Annually
Senior level
Biotech
Design, build, and scale production-grade bioinformatics pipelines on AWS. Translate research workflows into automated, secure, high-throughput systems, optimize performance and cost, and lead automation and pipeline reliability efforts across teams.
Top Skills: Python,Wdl,Nextflow,Snakemake,Docker,Aws,S3,Ec2,Aws Batch,Airflow,Iam,Multi-Account Aws Architectures,Ci/Cd,Unit Testing,Test-Driven Development
6 Days Ago
In-Office or Remote
Houston, TX, USA
Senior level
Senior level
Biotech
Responsible for bioinformatics ML/AI application development in clinical settings, designing and deploying ML/AI solutions, and collaborating with multidisciplinary teams.
Top Skills: AIAzureBashBioinformaticsCloud ComputingData EngineeringGenomic Data ModelingHuggingfaceMachine LearningNoSQLOcrPythonSQLTensorFlow
12 Days Ago
Remote
US
133K-167K Annually
Senior level
133K-167K Annually
Senior level
Biotech
Lead the design, development, and optimization of bioinformatics pipelines for NGS data, emphasizing workflow orchestration, performance, and best practices in a hybrid role.
Top Skills: AWSDockerLinuxNextflowNumpyPandasPythonScikit-LearnWdl

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account