Job Description
Job Role: Bioinformatics Engineer
About The Company
We provide enterprise grade platforms that accelerates adoption of Kubernetes and Data.
Gravity, our flagship platform, provides a simplified Kubernetes experience for developers by removing all the removing all the underlying complexities. Developers can use tailor-made workflows to deploy their Microservices, Workers, Data and MLOps workloads to Kubernetes environments across multiple Cloud Providers. Gravity takes care of all the Kubernetes related orchestration such as cluster provisioning, workload deployments, configuration and secret management, scaling and provisioning of cloud services. Gravity also provides out of the box Observability for workloads helping developers to get started with Day 2 operations quickly.
Dark Matter provides a unified data platform for enterprises to extract value out of their data lakes. Data Data Engineers and Data Analysts can discover datasets in enterprise data lakes through an Augmented Data Catalog. Data Profile, Data Quality & Data Privacy are deeply integrated within the catalog to provide an immediate snapshot of datasets in Data Lakes. Organizations can maintain Data Quality by defining quality rules that automatically monitor Accuracy, Validity and Consistency of data to meet their data governance standards. The built-in Data Privacy engine can discover sensitive data in your data lakes and can take automated actions (such as redactions) through an integrated Policy and Governance engineering.
We are seeking a highly motivated Bioinformatics Engineer with 2+ years of experience in genomic data analysis to join our interdisciplinary team. As a Bioinformatics Engineer, you will be responsible for analysing large datasets of genomic data and supporting the development of novel omics workflows. Proficiency in Python, R, nextflow, and database development (SQL, NoSQL) is required.
Responsibilities
Conduct comprehensive analysis of genomic data using bioinformatics software, algorithms, and databases
Develop and optimize computational tools and pipelines for the analysis of genomic data
Work with interdisciplinary teams to develop novel insights into genomic data and translate those insights into actionable results.
Develop and maintain web-based tools for genomic data analysis and visualization.
Build and maintain databases to store and manage genomic data.
Build end to end products and solutions.
Qualifications
Master's degree or higher in Bioinformatics, Computer Science, or a related field
2+ years of experience in genomic data analysis
Proficiency in Python, R and Nextflow.
Experience with AWS, database development (SQL, NoSQL) and AI/ML is a plus
Experience with cloud computing, containerization, and CI/CD is desirable but not mandatory
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
