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Bioinformatics Engineer

Axle Information Technologies, Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Axle is at the forefront of bioscience and information technology, driving advancements in translational research, biomedical informatics, and data science. We empower leading research centers and healthcare organizations, both nationally and internationally, by developing and applying cutting-edge research tools and techniques. Our multidisciplinary team, comprising experts in biomedical science, software engineering, and program management, is dedicated to accelerating research discoveries and enabling informed decision-making. We pride ourselves on collaborating with some of the most prestigious research organizations and facilities in the country, including multiple institutes within the National Institutes of Health (NIH).
• We are seeking a highly skilled and motivated Bioinformatics Engineer to join our dynamic team. This pivotal role will be instrumental in supporting our major pharmaceutical clients by enhancing their high-throughput sequencing analysis capabilities. You will be responsible for the comprehensive review, assessment, optimization, integration, and extension of production-grade bioinformatics workflows. The ideal candidate will possess a robust understanding of genomics analysis methodologies, coupled with strong software engineering principles and extensive experience in cloud computing environments.
• In this role, you will delve into the intricacies of large-scale genomic datasets, applying your expertise to develop and refine robust, scalable, and efficient bioinformatics pipelines. Your contributions will directly impact the speed and accuracy of drug discovery and development processes for our clients.
• Key responsibilities will include:
• Designing, implementing, and optimizing bioinformatics workflows for the analysis of diverse high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
• Evaluating and integrating existing bioinformatics tools and pipelines to ensure seamless operation and maximum efficiency.
• Developing custom software solutions and scripts to address specific analytical challenges and extend existing functionalities.
• Collaborating closely with clients, data scientists, and other stakeholders to understand their research needs and translate them into effective bioinformatics solutions.
• Ensuring the reproducibility, scalability, and maintainability of all developed workflows and software.
• Implementing and managing cloud-based infrastructure for bioinformatics analyses, leveraging platforms such as AWS, GCP, or Azure.
• Staying abreast of the latest advancements in genomics, bioinformatics, and computational biology, and applying this knowledge to improve our methodologies.
• Contributing to the documentation of workflows, software, and best practices.
• Troubleshooting and resolving issues related to data analysis, pipeline execution, and software performance.
• Participating in code reviews and knowledge-sharing sessions to foster a collaborative and innovative team environment.
• This position offers a unique opportunity to work on challenging projects at the intersection of biology, computer science, and data analytics. You will have the chance to make a significant impact on pharmaceutical research and development, contributing to the discovery of novel therapeutics and diagnostic tools.
• We are committed to fostering a culture of continuous learning and professional growth. As a Bioinformatics Engineer at Axle, you will be encouraged to explore new technologies, present your work, and contribute to the intellectual capital of the company. Your expertise will be valued, and your contributions will be recognized.
• The ideal candidate is a proactive problem-solver with a passion for bioinformatics and a proven ability to deliver high-quality results in a fast-paced environment. You should be comfortable working independently and as part of a collaborative team, with excellent communication skills to effectively convey complex technical information to diverse audiences.
• This role is ideal for someone looking to leverage their technical skills to make a tangible difference in the field of biosciences and contribute to groundbreaking research.

🎯 Requirements

• Proven experience in developing, optimizing, and deploying production-grade bioinformatics pipelines for high-throughput sequencing data analysis.
• Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, or Perl, and experience with workflow management systems (e.g., Nextflow, Snakemake, Cromwell).
• Hands-on experience with cloud computing platforms (AWS, GCP, or Azure) for large-scale data analysis and workflow deployment.
• Solid understanding of genomics, molecular biology, and statistical methods relevant to biological data analysis.
• Bachelor's or Master's degree in Bioinformatics, Computer Science, Computational Biology, or a related quantitative field.

🏖️ Benefits

• Market-competitive salary with an anticipated base compensation range of $125,000 - $150,000 USD.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off (PTO) and holiday schedule.
• Opportunities for professional development, including conferences and training.

Skills & Technologies

Remote

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Axle Information Technologies, Inc.

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About Axle Information Technologies, Inc.

Axle Information Technologies, Inc. is a technology company specializing in data management and analytics solutions. They provide services and products designed to help organizations harness the power of their data for better decision-making and operational efficiency. Their offerings often include data warehousing, business intelligence, data integration, and advanced analytics capabilities. Axle aims to empower clients by transforming raw data into actionable insights, enabling them to optimize performance, identify trends, and achieve strategic goals. The company serves a diverse range of industries, offering tailored solutions to meet specific business needs and challenges in the ever-evolving data landscape.

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