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About NonStop:
NonStop is a software services company at the intersection of bioinformatics, genomics, and healthcare technology. We partner with biotech firms, pharma organizations, genomics labs, and clinical institutions to design and deliver production-grade bioinformatics software, AI-powered analytical platforms, and end-to-end genomic data pipelines.
We work on problems that matter: from accelerating variant interpretation workflows and building HIPAA-compliant AI platforms, to orchestrating large-scale multi-omics pipelines for disease diagnostics and pharmacogenomics. Our team blends deep domain expertise with engineering rigor, and we're growing to meet the increasing demand from the life sciences industry for smart, scalable, and compliant bioinformatics solutions.
We work this way:
- We dig deep into biological problems, not just the code. Domain knowledge is valued as much as engineering craft.
- Bioinformatics is a team sport. You'll work alongside software engineers, clinicians, and research scientists.
- You own your work end-to-end, from design to delivery. We trust you to make good decisions and learn fast.
- Life sciences move fast. We encourage continuous learning, conference participation, and staying ahead of the field.
Your role:
As a Bioinformatics Engineer at NonStop, you will be a key contributor in designing, building, and maintaining bioinformatics software solutions and analytical pipelines for our clients across genomics, clinical diagnostics, and precision medicine. You'll bring both biological insight and engineering excellence to every project, collaborating with product, engineering, and scientific teams to deliver solutions that are scalable, reproducible, and compliant.
You’ll be responsible for:
- Build scalable bioinformatics applications and pipelines for efficient processing of genomic, transcriptomic, and multi-omics data.
- Produce high-quality, detailed documentation for all projects, pipelines, tools, APIs, and analytical methods.
- Provide technical consultation and solutions across cross-functional bioinformatics projects.
- Coach and mentor team members through knowledge sharing, code reviews, and pairing on domain-specific challenges.
- Ensure compliance with our SDLC process throughout the product development lifecycle.
- Stay current with evolving bioinformatics technologies and evangelize technical excellence within the team.
We’re looking for:
- Minimum 2 to 3 years of experience in designing, developing, and maintaining bioinformatics solutions.
- Master's degree in Bioinformatics, Computational Biology, or a closely related technical discipline.
- Strong understanding of genomic data analysis, variant calling, targeted sequencing, whole-exome (WES), and whole-genome sequencing (WGS) workflows.
- Hands-on experience with RNA-seq analysis, including differential expression and transcriptomic workflows.
- Proficiency in variant interpretation and ACMG/AMP classification workflows is a plus.
- Knowledge of algorithms and computational model development applied to biological data.
- Strong foundation in statistics and data analysis as applied to genomics and bioinformatics.
- Experience developing and debugging bioinformatics pipelines using Nextflow, Snakemake, WDL, or CWL.
- Proficiency in shell scripting and Linux/Unix environments for NGS data analysis.
- Familiarity with workflow automation and best practices in reproducible pipeline design.
- Excellent programming skills in Python (primary); familiarity with R or Java is a plus.
- Proficiency with standard bioinformatics tools (GATK, DeepVariant, VEP, ANNOVAR, MultiQC, FastQC, etc.).
- Experience with relational databases (PostgreSQL, MySQL, or Oracle) and NoSQL databases (MongoDB).
- Confident use of Git and GitHub for version control and collaborative development.
- Experience with cloud computing platforms (AWS or GCP, or Azure) for bioinformatics workloads.
- Familiarity with high-performance computing (HPC) environments is a plus.
Why join NonStop:
- Work on real-world genomics and clinical bioinformatics problems that directly impact patient care and scientific discovery.
- Collaborate with life sciences clients at the cutting edge, from rare disease diagnostics to AI-assisted bioinformatics platforms.
As a Lead Solutions Architect at Aganitha, you will:
* Engage and co-innovate with customers in BioPharma R&D
* Design and oversee implementation of solutions for BioPharma R&D * Manage Engineering teams using Agile methodologies
* Enhance reuse with platforms, frameworks and libraries
Applying candidates must have demonstrated expertise in the following areas:
1. App dev with modern tech stacks of Python, ReactJS, and fit for purpose database technologies
2. Big data engineering with distributed computing frameworks
3. Data modeling in scientific domains, preferably in one or more of: Genomics, Proteomics, Antibody engineering, Biological/Chemical synthesis and formulation, Clinical trials management
4. Cloud and DevOps automation
5. Machine learning and AI (Deep learning)
● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.

