Bioinformatician / Data Scientist

TL;DR

Bioinformatician / Data Scientist: Designing and implementing bioinformatics and data analysis solutions, and developing computational pipelines for large-scale biological datasets with an accent on processing NGS data (single-cell and bulk RNA-seq) and applying statistical modeling and machine learning techniques. Focus on developing and optimizing advanced computational strategies for multi-omics data, ensuring robust analysis and actionable insights from complex biological experiments.

Location: Remote (Global)

Company

hirify.global is an international team providing bioinformatics and data analysis solutions.

What you will do

• Collaborate with clients and interdisciplinary teams to design and implement bioinformatics and data analysis solutions.
• Develop and implement computational pipelines for diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
• Participate in developing Nextflow pipelines for processing NGS data (single-cell and bulk RNA-seq).
• Perform statistical analysis, data mining, and apply machine learning to identify patterns and predictive models.
• Stay up-to-date with bioinformatics advancements and continuously improve methodologies.
• Present findings clearly to internal teams and external stakeholders.

Requirements

• Experience in Unix, SQL databases (PostgreSQL), REST APIs, Cloud computing (AWS), and HPC (High Performance Computing).
• Solid understanding of bioinformatics concepts, algorithms, and tools, with proven experience analyzing high-throughput genomic, transcriptomic, or proteomic data.
• Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines.
• Proficiency in pipeline development using Nextflow (preferred), Cromwell, or other popular frameworks.
• Solid Python programming skills, as well as experience in other programming languages and relevant bioinformatics software and tools.
• Solid knowledge of statistical analysis, machine learning, and data mining techniques.
• English level B2 or higher.

Nice to have

• Experience in next-generation sequencing (NGS) data analysis and variant calling.
• Knowledge of structural bioinformatics and molecular modeling.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Prior experience in the analysis of single-cell RNA sequencing (scRNA-seq) or single-cell genomics data.
• Experience with processing scTCR and scCITE-seq data.
• Experience with deploying pipelines to AWS.
• Familiarity with Cell Ranger and/or TRUST4 software packages.
• Experience with orchestration tools and virtualized environments (Docker, K8S).

Culture & Benefits

• Competitive compensation.
• Remote or office work with flexible working hours.
• Healthcare benefits: medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• Certifications paid by the company.
• A team with excellent tech expertise.