Talantix.io
Axle•18.02.26
AI SCORE 8.5

Remote Lead Omics Workflow Engineer - Bioscience & IT

$120K–$150K/year
RemoteBioinformatics
Bioinformatics•Python•R•Data Analysis•Cloud Computing•Machine Learning

About the Role

We are seeking a Remote Lead Omics Workflow Engineer to join our innovative team at Axle. This role is pivotal in advancing our bioscience and information technology initiatives, focusing on translational research and biomedical informatics. As a Lead Omics Workflow Engineer, you will leverage your expertise to enhance our data science applications, providing critical support to research centers and healthcare organizations both nationally and internationally.

What You'll Do

  • Lead the development and optimization of omics workflows, ensuring high-quality data processing and analysis.
  • Collaborate with cross-functional teams to integrate bioinformatics tools into research projects.
  • Utilize advanced data science techniques to drive insights and support decision-making in biomedical research.
  • Mentor junior engineers and provide guidance on best practices in omics data analysis.
  • Engage with top research organizations, including multiple institutes at the National Institutes of Health (NIH), to implement cutting-edge solutions.

Requirements

  • 5+ years of experience in bioinformatics or related field, with a focus on omics data.
  • Proven track record in leading projects and teams in a remote setting.
  • Strong programming skills in languages such as Python, R, or similar.
  • Experience with data analysis tools and platforms relevant to omics research.
  • Excellent communication skills and ability to work collaboratively in a remote environment.

Nice to Have

  • Experience with cloud computing platforms (AWS, Google Cloud).
  • Familiarity with machine learning techniques applied to biological data.
  • Advanced degree (Master's or PhD) in Bioinformatics, Computational Biology, or related field.

What 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 for Healthcare and Dependent Care.
  • Transportation Reimbursement Account.
Why This Job8.5 of 10

This Remote Lead Omics Workflow Engineer role at Axle offers a unique opportunity to lead innovative projects in bioscience and IT, with excellent benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in bioinformatics pipelines and tools, specifically using Python and R for data manipulation and statistical analysis, with hands-on experience in cloud platforms like AWS or Google Cloud for scalable data processing.

→

Strong ability to lead cross-functional teams in a remote setting, with a focus on agile methodologies and effective project management skills to ensure timely delivery of complex bioscience projects.

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Deep understanding of machine learning algorithms and their application in genomics, alongside a proactive mindset for continuous learning to keep up with the rapidly evolving landscape of biomedical informatics.

Learning Resources

→Bioinformatics with Python Cookbookbook
→Introduction to Bioinformatics on Courseracourse
→Bioinformatics Data Skills: Reproducible and Robust Research with Rarticle

Career Path

Remote Lead Omics Workflow Engineer - Bioscience & IT(Now)→Director of Bioinformatics(1-2 years)→Chief Data Scientist in Healthcare(3-5 years)

Market Overview

Market Size 2024
$12.2B
Annual Growth
13.5%
AI Adoption in Bioinformatics
60%
Investment in Bioinformatics
+25%
Labour Demand for Bioinformatics Roles
+21%
Avg Salary for Lead Bioinformatics Engineer
$130K

Skills & Requirements

Required
BioinformaticsPythonR
Growing in Demand
Genomic Data AnalysisStatistical ModelingCloud-Based Bioinformatics Tools
Declining
SAS for BioinformaticsTraditional Database Management Systems

Domain Trends

Increased Integration of AI in Genomics
AI technologies are increasingly being used to analyze genomic data, with over 60% of bioinformatics companies adopting machine learning techniques to enhance data interpretation.
Shift Towards Cloud Computing Solutions
The bioinformatics cloud computing market is projected to grow by 28% annually, as organizations seek scalable solutions for data storage and analysis.
Focus on Personalized Medicine
There is a growing emphasis on personalized medicine, with 75% of bioinformatics professionals reporting that their work is increasingly aligned with developing tailored healthcare solutions based on genomic data.

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