Computational Postdoc Position in Modelling of Transcriptional Regulation
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Odense M
The Madsen group at the Section for Data Science and Statistics, Department of Mathematics and Computer Science, invites applications from outstanding postdoc candidates who are interested in joining the team and the Human Gene Regulation Map, a part of the new Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC), in a two-year postdoc position. The position is available from 1 January 2024, or as soon as possible thereafter.
The Section for Data Science and Statistics
The Madsen group is located at the Section for Data Science and Statistics (DSS) at the Department of Mathematics and Computer Science, SDU. The DSS currently hosts sixteen independent research groups focusing on various aspects of data science, including three groups working with bioinformatics and computational biology. The section constitutes an international, ambitious, highly dynamic, and well-equipped working environment having access to state-of-the-art computing facilities, including high performance computing systems.
In addition to the DSS, the Madsen group is a partner in ambitious national and international research centres, in which the successful candidates can actively participate and (net)work:
The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC)
The Madsen group is a partner in the Human Gene Regulation Map (HGRM), a part of the new Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC). The HGRM is an international joint research centre between four research groups at the Broad Institute of MIT and Harvard and four Danish research groups. The aim of HGRM is to build comprehensive maps of gene regulation in the human genome as a resource for uncovering biological mechanisms on common genetic diseases, with an initial focus on cell types relevant to cardiometabolic diseases including type 2 diabetes. We aim to combine recent advances in genomics, molecular biology, single-cell analysis, and stem cell models with approaches in computational biology and machine learning to identify fundamental rules of gene regulation.
The Center for Functional Genomics and Tissue Plasticity (ATLAS)
The Madsen group is a partner in the Center for Functional Genomics and Tissue Plasticity (ATLAS) at SDU, supported by the Danish National Research Foundation. ATLAS is a national joint research centre between five research groups at SDU and three research groups at Odense University Hospital (OUH). The aim of ATLAS is to obtain systems-level, mechanistic and cell type-resolved understanding of adipose and hepatic tissue plasticity in response to diet-induced obesity and regression in mouse models; and to translate this for in-depth understanding of the functional changes in human adipose and hepatic tissues in response to severe obesity and reversal. The centre applies a combination of functional genomics approaches including single cell sequencing, mouse models, proteomics, in vivo targeting, computational biology, and clinical studies.
Research Projects and Roles
As a postdoc in the Madsen group, you will be engaged in a highly ambitious project aimed at shedding new light on the regulatory and functional architecture of the human genome with the aim of furthering the understanding of how it contributes to health and disease. You will interact and collaborate closely with other researchers in the Madsen group as well as with members of the other research groups within the DSS, the department and the research centres.
The successful candidate will be embedded in the HGRM project with opportunities to collaborate closely with international partners in the centre. The candidate will be responsible for a project which aims to investigate how the DNA sequence in concert with transcription factors shape the transcriptome of cells. To achieve those aims, the successful candidate will apply recent machine learning architectures to both public and in-house high-throughput datasets, and subsequently interpret these models to glean new insights into the rules underlying enhancer architecture and control of the human genome.
Qualifications/Requirements
We are looking for highly motivated, dedicated, and ambitious candidates with:
We offer:
For further information please contact Assistant Professor Jesper Grud Skat Madsen ([email protected]).
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following:
• A curriculum vitae including information on previous employment.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
The Section for Data Science and Statistics
The Madsen group is located at the Section for Data Science and Statistics (DSS) at the Department of Mathematics and Computer Science, SDU. The DSS currently hosts sixteen independent research groups focusing on various aspects of data science, including three groups working with bioinformatics and computational biology. The section constitutes an international, ambitious, highly dynamic, and well-equipped working environment having access to state-of-the-art computing facilities, including high performance computing systems.
In addition to the DSS, the Madsen group is a partner in ambitious national and international research centres, in which the successful candidates can actively participate and (net)work:
The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC)
The Madsen group is a partner in the Human Gene Regulation Map (HGRM), a part of the new Novo Nordisk Foundation Center for Genomic Mechanisms of Disease (NNFC). The HGRM is an international joint research centre between four research groups at the Broad Institute of MIT and Harvard and four Danish research groups. The aim of HGRM is to build comprehensive maps of gene regulation in the human genome as a resource for uncovering biological mechanisms on common genetic diseases, with an initial focus on cell types relevant to cardiometabolic diseases including type 2 diabetes. We aim to combine recent advances in genomics, molecular biology, single-cell analysis, and stem cell models with approaches in computational biology and machine learning to identify fundamental rules of gene regulation.
The Center for Functional Genomics and Tissue Plasticity (ATLAS)
The Madsen group is a partner in the Center for Functional Genomics and Tissue Plasticity (ATLAS) at SDU, supported by the Danish National Research Foundation. ATLAS is a national joint research centre between five research groups at SDU and three research groups at Odense University Hospital (OUH). The aim of ATLAS is to obtain systems-level, mechanistic and cell type-resolved understanding of adipose and hepatic tissue plasticity in response to diet-induced obesity and regression in mouse models; and to translate this for in-depth understanding of the functional changes in human adipose and hepatic tissues in response to severe obesity and reversal. The centre applies a combination of functional genomics approaches including single cell sequencing, mouse models, proteomics, in vivo targeting, computational biology, and clinical studies.
Research Projects and Roles
As a postdoc in the Madsen group, you will be engaged in a highly ambitious project aimed at shedding new light on the regulatory and functional architecture of the human genome with the aim of furthering the understanding of how it contributes to health and disease. You will interact and collaborate closely with other researchers in the Madsen group as well as with members of the other research groups within the DSS, the department and the research centres.
The successful candidate will be embedded in the HGRM project with opportunities to collaborate closely with international partners in the centre. The candidate will be responsible for a project which aims to investigate how the DNA sequence in concert with transcription factors shape the transcriptome of cells. To achieve those aims, the successful candidate will apply recent machine learning architectures to both public and in-house high-throughput datasets, and subsequently interpret these models to glean new insights into the rules underlying enhancer architecture and control of the human genome.
Qualifications/Requirements
We are looking for highly motivated, dedicated, and ambitious candidates with:
- A PhD degree in Applied Mathematics, Data Science, Bioinformatics, Computational Biology, or a closely related field.
- Documented experience with statistical programming (e.g. Python).
- Documented experience with applied machine learning.
- Experience with -omics data analysis (e.g. bulk and single-cell or single-nucleus RNA-seq and ATAC-seq).
- Strong communication and collaborative skills and an interest in working in an interdisciplinary environment.
- Proficiency in spoken and written English.
We offer:
- A two-year postdoc position in a stimulating and supportive, international research environment.
- Access to state-of-the-art equipment, facilities, and infrastructure.
- Opportunity to interact with an extensive network of national and international collaborators.
- A competitive salary and social benefits (e.g. health coverage, parental leave, social security etc.).
- Dedicated assistance and support with various practical, social, and legal aspects (housing, visa, administration, tax etc.), especially for international candidates through our international staff office (ISO) and department.
For further information please contact Assistant Professor Jesper Grud Skat Madsen ([email protected]).
Application, salary etc.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations). Please check links for more information on salary and taxation.
The application must include the following:
• A curriculum vitae including information on previous employment.
• A full list of publications stating the scientific publications on which the applicant wishes to rely.
Shortlisting may be used in the assessment process.
Incomplete applications and applications received after the deadline will neither be considered nor evaluated.
To qualify you must have passed a PhD or equivalent. Applications will be assessed by an expert assessor/committee. Applicants will be informed of their assessment by the university.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Applications must be submitted electronically using the link "Apply online". Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb. We strongly recommend that you read How to apply before you apply.
Further information for international applicants about entering and working in Denmark.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 7.9.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Odense M
- Onsdag den 01. november 2023
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