Talantix.io
Axle•11.03.26
AI SCORE 8.5

Remote Lead Omics Workflow Engineer - Bioscience & Data Science

$120K–$150K/year
RemoteBioinformatics
Bioinformatics•Data Science•Python•R•Project Management•Omics Technologies

About the Role

We are seeking a Remote Lead Omics Workflow Engineer to join our innovative team at Axle. In this role, you will leverage your expertise in biosciences and data science to enhance translational research and biomedical informatics. As a Remote Lead Omics Workflow Engineer, you will work closely with top research organizations, including multiple institutes at the National Institutes of Health (NIH), to develop and apply cutting-edge research tools and techniques.

What You'll Do

  • Lead the design and implementation of omics workflows that support research initiatives.
  • Collaborate with biomedical scientists and software engineers to create data-driven solutions.
  • Oversee project management and ensure timely delivery of research tools.
  • Utilize advanced data science applications to empower decision-making in research.
  • Mentor junior engineers and provide guidance on best practices in workflow development.

Requirements

  • 5+ years of experience in biosciences, data science, or a related field.
  • Proven experience in leading projects and managing teams.
  • Strong knowledge of omics technologies and their applications in research.
  • Proficiency in programming languages such as Python or R.
  • Excellent communication skills and ability to work in a remote team environment.

Nice to Have

  • Experience with cloud computing platforms (e.g., AWS, Azure).
  • Familiarity with machine learning techniques.
  • Published research in relevant scientific journals.

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.
  • Flexible Spending Accounts: Healthcare (FSA), Parking Reimbursement Account (PRK), Dependent Care Assistant Program (DCAP), Transportation Reimbursement Account (TRN).
Why This Job8.5 of 10

This role offers a unique opportunity to lead innovative projects in the bioscience field while enjoying comprehensive benefits and a flexible remote work environment.

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

Who Will Succeed Here

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Proficient in using bioinformatics tools and programming languages such as Python and R to analyze and visualize omics data, enabling effective development of workflows tailored to cutting-edge research.

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Demonstrates strong project management skills, with experience in leading cross-functional teams in a remote environment, ensuring timely delivery of research initiatives while maintaining high-quality standards.

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Possesses a deep understanding of omics technologies (genomics, proteomics, metabolomics) and their applications in translational research, with a mindset focused on innovation and continuous improvement in bioinformatics solutions.

Learning Resources

→Bioinformatics with Python Cookbookbook
→Coursera: Bioinformatics Specializationcourse
→Introduction to Omics Technologiesarticle

Career Path

Remote Lead Omics Workflow Engineer(Now)→Senior Bioinformatics Manager(2-4 years)→Director of Bioinformatics and Data Science(5-7 years)

Market Overview

Market Size 2024
$12.8B
Annual Growth
13.2%
AI Adoption in Bioinformatics
45%
Investment in Omics Technologies
+75%
Labour Demand for Bioinformatics Roles
+30%
Avg Salary for Lead Bioinformatics Engineer
$130K

Skills & Requirements

Required
BioinformaticsData SciencePython
Growing in Demand
Machine Learning for GenomicsCloud Computing (AWS, Azure) for Data AnalysisData Visualization (Tableau, Power BI)
Declining
SAS for BioinformaticsLegacy Database Systems (e.g., Oracle 10g)

Domain Trends

Increased Integration of AI in Genomic Analysis
AI technologies are increasingly being used to analyze genomic data, with a projected increase in AI-driven bioinformatics tools by 50% by 2025.
Rise of Personalized Medicine
The demand for bioinformatics in personalized medicine is expected to grow by 40% as healthcare shifts towards tailored treatment plans based on genetic profiles.
Cloud-Based Bioinformatics Solutions
Adoption of cloud-based platforms for bioinformatics is set to increase by 60% as organizations seek scalable and cost-effective data management solutions.

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