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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
We are expanding our bioinformatics and data engineering team under the Computational Discovery unit and seek a Bioinformatics Scientist / Senior Bioinformatics Scientist to drive hands-on data analysis and algorithms development towards novel targets discovery and enhancement of our cloud-based computational biology platform.
The Bioinformatics Scientist / Senior Bioinformatics Scientist will play a key role in the development of our Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immune-oncology (IO).
The Bioinformatics Scientist / Senior Bioinformatics scientist will report to the Head of Computational Discovery.
Conduct end-to-end computational analyses of single cell and spatial transcriptomics data
Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines
Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients stratification and biomarkers discovery
Work closely and routinely with computational scientists, biologists and immunologists
Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators
The Bioinformatics Scientist / Senior Bioinformatics Scientist will play a key role in the development of our Computational Discovery analytics platform towards the in-silico identification of drug targets and novel biomarkers in immune-oncology (IO).
The Bioinformatics Scientist / Senior Bioinformatics scientist will report to the Head of Computational Discovery.
Conduct end-to-end computational analyses of single cell and spatial transcriptomics data
Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines
Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization
Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers
Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients stratification and biomarkers discovery
Work closely and routinely with computational scientists, biologists and immunologists
Present, visualize and communicate the analytics results and scientific insights to internal and external collaborators
Requirements:
Ph.D. or equivalent hands-on years of experience in Bioinformatics / Computational Biology & Data Sciences
Strong programming and data science skills (Python or R preferred)
Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq
Ability to propose and carry out independently computational biology research projects
Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions
A team player in a multidisciplinary environment
Outstanding interpersonal, verbal and written communication skills
Strong collaborative skills, professionalism and commitment
Advantages
Experience in cancer or immunology studies, pathways analysis and biological interpretation is an advantage
Cloud-based data science experience (AWS Preferred) is an advantage
Experience in agile software development and databases is an advantage (Python, AngularJs, NodeJs, Laravel, REST API, MySQL, PostgreSQL, MongoDB, DynamoDB and Apache SPARK)
Background in statistics, machine learning or in big-data analysis is an advantage
Image analysis experience is an advantage
Ph.D. or equivalent hands-on years of experience in Bioinformatics / Computational Biology & Data Sciences
Strong programming and data science skills (Python or R preferred)
Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq
Ability to propose and carry out independently computational biology research projects
Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions
A team player in a multidisciplinary environment
Outstanding interpersonal, verbal and written communication skills
Strong collaborative skills, professionalism and commitment
Advantages
Experience in cancer or immunology studies, pathways analysis and biological interpretation is an advantage
Cloud-based data science experience (AWS Preferred) is an advantage
Experience in agile software development and databases is an advantage (Python, AngularJs, NodeJs, Laravel, REST API, MySQL, PostgreSQL, MongoDB, DynamoDB and Apache SPARK)
Background in statistics, machine learning or in big-data analysis is an advantage
Image analysis experience is an advantage
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
