Talent Pool: Bioinformatician / Data Scientist
Responsibilities
- 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
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
- 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
- A team with an excellent tech expertise
- Certifications paid by the company
