Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions
Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets
Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics
Participation in developing pipelines for processing NGS data (single-cell and bulk RNA-seq) by using Nextflow
Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers
Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets
Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms
Present findings and results to internal teams and external stakeholders in a clear and concise manner
Solid understanding of bioinformatics concepts, algorithms, and tools
Proven experience in 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 framework
Programming skills: Solid Python programming skills, as well as experience in other programming languages and experience with relevant bioinformatics software and tools
Solid knowledge of statistical analysis, machine learning, and data mining techniques
English level B2 or higher
Strong communication and negotiation skills in interactions with the research scientists
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
Familiarity with cloud computing platforms and big data analysis frameworks
Experience with processing scTCR and scCITE-seq data
Experience with deploying pipelines to AWS
Familiarity with Cell Ranger and/or TRUST4 software packages
Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders
Experience with orchestration tools and virtualized environments (Docker, K8S)
We offer
Competitive compensation
Remote or office work
Flexible working hours
Healthcare benefits: medical insurance and paid sick leave
Continuous education, mentoring, and professional development programs
