Bioinformatician/Data scientist for the Clinical Genomics Platform
SciLifeLabSweden4 days ago
Full-timeResearch, Analyst +1
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!
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The position
We are seeking a Bioinformatician with a strong background in genomics, epigenetics and multi-omics and some expertise in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning solutions that unlock insights from complex omics datasets, particularly epigenomics. You will work at the intersection of AI, genomics, and translational medicine, assessing and developing tools that enable discovery and accelerate therapeutic development.
This post is part of the SciLifeLab Clinical Genomic platform, which aims to bridge the gap between basic science and clinical implementation. The platform has nodes at every Swedish medical faculty, and this post will be based in the Linköping node.
As part of their role, the postholder will have two main areas they will work on. 1) Recent translational work has revealed that analysis of epigenetic data, in combination with AI approaches, can enable accurate classification of disease states. Your job here will entail the evaluation and implementation of emerging AI tools relevant to epigenomic analysis of clinical data and help with interpretation of results. You will also tailor these analyses in response to clinical and researcher feedback, and help develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and visualization of complex multimodal results for users who are unused to coding. This will include designing tools for the automatic processing of genomics or other omics datasets, alongside medical or biometric data, which will aid clinicians, or other users, to graph and statistically analyze results. For this you will develop and refine techniques taking advantage of apps, intelligent agents, AI assistants, or similar.
You will be encouraged to publish scientific findings and share new analysis methods, as well as present results to stakeholders across multidisciplinary teams. You will participate in Clinical Genomics meetings and activities and help disseminate best practice through the network. You will also be part of a team of bioinformaticians and molecular biologists locally, and will contribute to helping with the upkeep and maintenance of core activities and services as part of that team.
The person we need
We are looking for someone who takes responsibility for your tasks and drives processes forward. You are structured, like to collaborate and communicate well with others in a responsive and flexible way.
The Following Education, Experience And Expertise Are Required
The position is at Clinical Genomics core facility belonging to division of cell and neurobiology (CNB) at Department of Biomedical and Clinical Sciences (BKV)
Read more
The position
We are seeking a Bioinformatician with a strong background in genomics, epigenetics and multi-omics and some expertise in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning solutions that unlock insights from complex omics datasets, particularly epigenomics. You will work at the intersection of AI, genomics, and translational medicine, assessing and developing tools that enable discovery and accelerate therapeutic development.
This post is part of the SciLifeLab Clinical Genomic platform, which aims to bridge the gap between basic science and clinical implementation. The platform has nodes at every Swedish medical faculty, and this post will be based in the Linköping node.
As part of their role, the postholder will have two main areas they will work on. 1) Recent translational work has revealed that analysis of epigenetic data, in combination with AI approaches, can enable accurate classification of disease states. Your job here will entail the evaluation and implementation of emerging AI tools relevant to epigenomic analysis of clinical data and help with interpretation of results. You will also tailor these analyses in response to clinical and researcher feedback, and help develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and visualization of complex multimodal results for users who are unused to coding. This will include designing tools for the automatic processing of genomics or other omics datasets, alongside medical or biometric data, which will aid clinicians, or other users, to graph and statistically analyze results. For this you will develop and refine techniques taking advantage of apps, intelligent agents, AI assistants, or similar.
You will be encouraged to publish scientific findings and share new analysis methods, as well as present results to stakeholders across multidisciplinary teams. You will participate in Clinical Genomics meetings and activities and help disseminate best practice through the network. You will also be part of a team of bioinformaticians and molecular biologists locally, and will contribute to helping with the upkeep and maintenance of core activities and services as part of that team.
The person we need
We are looking for someone who takes responsibility for your tasks and drives processes forward. You are structured, like to collaborate and communicate well with others in a responsive and flexible way.
The Following Education, Experience And Expertise Are Required
- PhD in a relevant subject e.g. bioinformatics, computer science, computational biology or similar
- 5+ years of experience in bioinformatics, with some experience of epigenomic data
- At least one years’ experience of working in a core facility or other service environment with bioinformatics, genomics and interpretation of big data
- An advanced level of competence in the handling of common specialized bioinformatics tools and programs
- Intermediate level of competence in the construction and implementation of bioinformatic pipelines
- Good communications skills in English
- Documented ability in Python or Nextflow coding
- Experience working with machine learning frameworks such as PyTorch, TensorFlow, etc
- Ability to generate, tailor and deploy shiny apps, AI assistants or similar
- Ability to effectively communicate complex bioinformatic concepts to both experts and non-experts
- Experience with epigenomic classifiers for tumors, rare disease or similar
- Experience with the processing of metabolomic and proteomic data
- Knowledge of git, conda and similar
- Knowledge of workflow management systems such as Snakemake and Nextflow
- Experience of container software such as Singularity (Apptainer)/Docker/Podman
- Good communications skills in Swedish
The position is at Clinical Genomics core facility belonging to division of cell and neurobiology (CNB) at Department of Biomedical and Clinical Sciences (BKV)
Key Skills
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