Description
We are seeking a skilled and motivated Senior Bioinformatician / Data Scientist to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data.
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.
- Participate 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 ΠΈ concise manner.
What we expect:
Experience in:
- Unix
- SQL databases (PostgreSQL)
- REST APIs
- Cloud computing (AWS)
- HPC (High Performance Computing)
Solid understanding of bioinformatics concepts, algorithms, ΠΈ tools
Proven experience in analyzing high-throughput genomic,
transcriptomic,
or proteomic data
Hands-on experience with creating single-cell ΠΈ 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 ΠΈ negotiation skills
in interactions with the research scientists
Nice to have:
Experience in next-generation sequencing (NGS)
data analysis ΠΈ variant calling
Knowledge of structural bioinformatics ΠΈ molecular modeling
Familiarity with cloud computing platforms
and big data analysis frameworks
Prior experience in the analysis of single-cell RNA sequencing (scRNA-seq) ΠΈΠ»ΠΈ single-cell genomics data
Familiarity with cloud computing platforms
and big data analysis frameworks
Experience with processing scTCR ΠΈ scCITE-seq Π΄Π°Π½Π½ΡΠ΅
Experience Ρ deploying pipelines Π½Π° AWS
Familiarity Ρ Cell Ranger ΠΈΠ»ΠΈ TRUST4 software packages
Strong communication ΠΈ interpersonal skills
with the ability effectively collaborate Ρ cross-functional teams
ΠΈ communicate complex concepts ΠΊ non-ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΠΌ stakeholders
Experience Ρ orchestration tools ΠΈ virtualized environments
(Docker,K8S)