diff --git a/my_collections/_jobs/llm-research-software-engineer-EBI02242.md b/my_collections/_jobs/llm-research-software-engineer-EBI02242.md new file mode 100644 index 00000000..d1ca81e7 --- /dev/null +++ b/my_collections/_jobs/llm-research-software-engineer-EBI02242.md @@ -0,0 +1,11 @@ +--- +title: "Research software Engineer - Large Language Model focus" +organisation_logo: "embl-ebi.png" +closing_date: 2024-05-20 +link: "https://www.embl.org/jobs/position/EBI02242" +--- +To benefit from the advances in LLM technology inside Open Targets, we are extending the capabilities of our platform towards LLM integration using open-source frameworks. + +We are seeking a highly skilled and motivated Research Software Engineer with expertise in Python and Large Language Model (LLM) integration to join the AI knowledge management project for a period of 3 years. You will be a key player in designing and operating software that integrates cutting-edge knowledge graphs, LLMs and ML techniques into our biomedical data processing and drug discovery platforms. + +This position would be embedded within the Saez-Rodriguez Group at the European Bioinformatics Institute and benefit from joint supervision with Sebastian Lobentanzer in at Heidelberg University Hospital (UKHD). You will work collaboratively across the project group with other experts in ML/AI, NLP, data integration and product delivery across ChEMBL, ePMC, Open Targets and Heidelberg University Hospital on a common goal to integrate cutting-edge technology for knowledge extraction, representation and integration to help drug discovery scientists to generate therapeutic hypotheses. diff --git a/my_collections/_jobs/postdoc-petsalaki-EBI02233.md b/my_collections/_jobs/postdoc-petsalaki-EBI02233.md index 4c36cf86..ce03ab39 100644 --- a/my_collections/_jobs/postdoc-petsalaki-EBI02233.md +++ b/my_collections/_jobs/postdoc-petsalaki-EBI02233.md @@ -1,7 +1,7 @@ --- title: "Postdoctoral fellow" organisation_logo: "embl-ebi.png" -closing_date: 2024-04-24 +closing_date: 2024-04-30 link: "https://www.embl.org/jobs/position/EBI02233" --- The Petsalaki group uses network analysis, data integration and machine learning to study human cell signalling. For this Open Targets project, the group is collaborating with the Garnett group (Sanger institute) to discover combination targets for two types of cancer with unmet need. diff --git a/my_collections/_jobs/reseach-software-engineer-EBI02243.md b/my_collections/_jobs/reseach-software-engineer-EBI02243.md new file mode 100644 index 00000000..8f64486d --- /dev/null +++ b/my_collections/_jobs/reseach-software-engineer-EBI02243.md @@ -0,0 +1,11 @@ +--- +title: "Research Software Engineer - Database and Knowledge Representation" +organisation_logo: "embl-ebi.png" +closing_date: 2024-05-20 +link: "https://www.embl.org/jobs/position/EBI02243" +--- +Generative AI has revolutionised the way we interact with knowledge. We are extending the capabilities of the Open Targets Platform towards LLM integration using open-source frameworks. The project aims to improve on extraction, representation, and usage of scientific knowledge, and present this knowledge to platform users in a user-friendly way. + +As a Research Software Engineer you will be instrumental in extending our Open Targets Platform framework to include a modular knowledge graph platform. Your expertise will enhance the robustness and efficiency of our data processing and knowledge representation systems, contributing directly to our open science initiatives. + +This position would be embedded in the Saez-Rodriguez Group and benefit from joint supervision with Sebastian Lobentanzer at Heidelberg University Hospital (UKHD). diff --git a/my_collections/_jobs/research-assistant-JR101849.md b/my_collections/_jobs/research-assistant-JR101849.md deleted file mode 100644 index cb99b89f..00000000 --- a/my_collections/_jobs/research-assistant-JR101849.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: "Research Assistant" -organisation_logo: "wellcome-sanger.png" -closing_date: 2024-04-26 -link: "https://sanger.wd3.myworkdayjobs.com/en-US/WellcomeSangerInstitute/job/Research-Assistant_JR101849" ---- -A position is now available for a Research Assistant on a 1 year, fixed term contract to join the research group of Gosia Trynka in close collaboration with Andrew Bassett and Open Targets partners at the Wellcome Sanger Institute. This is a Computational Research Assistant role to contribute in the analysis of large single-cell RNAseq data from iPSC-derived microglia to advance drug discovery. The scientific objective of the project is to understand the genetic architecture of multiple neuroinflammatory cell traits in microglia. - -Applications will be reviewed on an ongoing basis so the role may close early if a successful candidate is appointed. diff --git a/my_collections/_jobs/staff-scientist-garnett-JR101779.md b/my_collections/_jobs/staff-scientist-garnett-JR101779.md deleted file mode 100644 index 521e854b..00000000 --- a/my_collections/_jobs/staff-scientist-garnett-JR101779.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -title: "Staff/Senior Scientist" -organisation_logo: "wellcome-sanger.png" -closing_date: 2024-04-24 -link: "https://sanger.wd3.myworkdayjobs.com/en-US/WellcomeSangerInstitute/job/Staff---Senior-Scientist_JR101779" ---- -The position is based in the Garnett lab, world-leaders in functional genomics, in collaboration with the Petsalaki group at EMBL-EBI. Drug combination therapies for cancer can provide new treatments for patients and combat drug resistance. You will join a multidisciplinary team performing large-scale two-gene CRISPR-Cas9 knockout screens in cancer cell lines to systematically identify and validate target combinations. - -Substantial CRISPR-Cas9 screening datasets have been generated and initial computational pipelines established. You will support the analysis and interpretation of these unique data, as well as lead the mechanistic validation of candidate target combinations. Specifically, this includes applying cancer therapeutics knowledge to guide the analysis and interpretation of large-scale screening datasets to gain novel insights. Additionally, you will use a range of cutting-edge cellular and molecular biology techniques to validate target combinations emerging from these analyses.