Hours per week: 37
Project Title: Cross-species cell atlases for regeneration
Months Duration: 42
Job Description Main Purpose of the Job The position offered is a PhD studentship at the Earlham Institute, based in Norwich, UK.
This project will aim to develop comprehensive cell atlases of regeneration in three different species: zebrafish, mouse, and axolotl. The doctoral candidate will integrate single cell transcriptomic as well as epigenetic data to assemble the atlases within each species and to compare cell types and regulatory processes across species. The project will use data generated by our partners within the DANIO-ReCODE doctoral network, as well as publicly available datasets. It will be fully computational and will aim to further advance our methods in cross-species comparisons of transcriptomics data sets, as well as develop new methods for identifying conserved or divergent key cell types and regulatory programmes across species.
Key Relationships The PhD student appointed will work closely with other members of the Papatheodorou Group at Earlham Institute and will also be a member of the DANIO-ReCODE consortium (https://danio-recode.eu), working closely with collaborators across Europe.
Main Activities & Responsibilities
Plan with the line manager and carry out experiments to meet the objectives of the project.
Prepare results and reports.
Disseminate research findings through presentations to various audiences at internal, national, and international meetings.
Collaborate with colleagues within the Institute in the development of original and world-class research.
Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity, and in compliance with local policies and any legal requirements.
Continually strive for excellence, seeking out and acting on feedback and relevant learning and development opportunities.
As agreed with the line manager, any other duties commensurate with the nature of the post.
Person Profile Education & Qualifications Requirement:
Bachelor degree in Bioinformatics or Computer Science -
Importance:
Essential
Requirement:
MSc in Bioinformatics, Computing, Data Science, Machine Learning -
Importance:
Essential
Specialist Knowledge & Skills Requirement:
Experience working with next generation sequencing data -
Importance:
Desirable
Requirement:
Experience working with complex datasets -
Importance:
Essential
Interpersonal & Communication Skills Essential skills include:
Ability to collaborate with internal and external stakeholders.
Demonstrated ability to work independently, using initiative and applying problem-solving skills.
Ability to follow instructions/Standard Operating Procedures.
Promotes and strives for continuous improvement.
Excellent communication skills, both written and oral, including the ability to present complex information with clarity.
Excellent time management and organisational skills.
Good interpersonal skills, with the ability to work as part of a team.
Additional Requirements Requirement:
Attention to detail -
Importance:
Essential
Requirement:
Promotes equality and values diversity -
Importance:
Essential
Requirement:
A willingness to travel to other research organisations for the secondments -
Importance:
Essential
Requirement:
High level analytical capability and an inquisitive mind -
Importance:
Essential
Requirement:
Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute -
Importance:
Essential
Requirement:
Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work -
Importance:
Essential
Requirement:
Willingness to work outside standard working hours when required -
Importance:
Essential
Who We Are About the Earlham Institute The Earlham Institute is a hub of life science research, training, and innovation focused on understanding the natural world through the lens of genomics.
We are building a future where the biology of any organism can be understood by analysing its genome. Our mission is to decode the scale and complexity of living systems so we can understand, benefit from, and protect life on Earth.
The Earlham Institute is based on the Norwich Research Park and is one of eight institutes that receive strategic funding from the UKRI Biotechnology and Biological Science Research Council (BBSRC).
Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make predictions about biology.
We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe.
Our Culture The Earlham Institute champions 'team science'. Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally.
The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us.
We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration.
PhD Studentship We are seeking an applicant for a fully funded HORIZON-MSCA-2023-DN PhD studentship in the group of Prof Irene Papatheodorou at the Earlham Institute. Prof Papatheodorou's research focuses on the development of computational methods for integrative analyses of single cell omics data.
The role: In this project, the applicant will be employed as well as registered for PhD and will work in a team formed by an international, interdisciplinary consortium to develop comprehensive cell atlases of regeneration in three different species: zebrafish, mouse, and axolotl.
The ideal candidate: At the time of recruitment by the host organisation, the successful candidate must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than twelve months in the three years immediately before the reference date.
The successful candidate should have a MSc in Bioinformatics, Computing, Data Science, Machine Learning. It is important to note that candidates must not hold a PhD degree at the time of recruitment.
Additional information: Salary on appointment is anticipated to be £54,888 (living allowance + mobility allowance). This salary is set by EU/UKRI and is subject to deductions. Family allowance is applicable should the successful candidate be eligible.
This is a full-time post with an expected start date of June 1st or October 1st 2025. The contracted end date is 31st October 2028.
Applicants should fulfil the entry requirements for PhD registration at the University of East Anglia (UEA) and should have, or expect to obtain, a good Undergraduate Honours Degree (minimum of UK equivalent 2:1 undergraduate degree or a UK equivalent 2:2 undergraduate degree with an equivalent UK Masters graded at 60% or over). Please see the academic eligibility criteria here: UEA Academic Eligibility Criteria
This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team quoting 1004813 if you have any questions regarding your application or visa options.
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.
The closing date for applications will be 16 January 2025.
#J-18808-Ljbffr
Project Title: Cross-species cell atlases for regeneration
Months Duration: 42
Job Description Main Purpose of the Job The position offered is a PhD studentship at the Earlham Institute, based in Norwich, UK.
This project will aim to develop comprehensive cell atlases of regeneration in three different species: zebrafish, mouse, and axolotl. The doctoral candidate will integrate single cell transcriptomic as well as epigenetic data to assemble the atlases within each species and to compare cell types and regulatory processes across species. The project will use data generated by our partners within the DANIO-ReCODE doctoral network, as well as publicly available datasets. It will be fully computational and will aim to further advance our methods in cross-species comparisons of transcriptomics data sets, as well as develop new methods for identifying conserved or divergent key cell types and regulatory programmes across species.
Key Relationships The PhD student appointed will work closely with other members of the Papatheodorou Group at Earlham Institute and will also be a member of the DANIO-ReCODE consortium (https://danio-recode.eu), working closely with collaborators across Europe.
Main Activities & Responsibilities
Plan with the line manager and carry out experiments to meet the objectives of the project.
Prepare results and reports.
Disseminate research findings through presentations to various audiences at internal, national, and international meetings.
Collaborate with colleagues within the Institute in the development of original and world-class research.
Ensure research and record keeping is carried out in accordance with good practice, Scientific Integrity, and in compliance with local policies and any legal requirements.
Continually strive for excellence, seeking out and acting on feedback and relevant learning and development opportunities.
As agreed with the line manager, any other duties commensurate with the nature of the post.
Person Profile Education & Qualifications Requirement:
Bachelor degree in Bioinformatics or Computer Science -
Importance:
Essential
Requirement:
MSc in Bioinformatics, Computing, Data Science, Machine Learning -
Importance:
Essential
Specialist Knowledge & Skills Requirement:
Experience working with next generation sequencing data -
Importance:
Desirable
Requirement:
Experience working with complex datasets -
Importance:
Essential
Interpersonal & Communication Skills Essential skills include:
Ability to collaborate with internal and external stakeholders.
Demonstrated ability to work independently, using initiative and applying problem-solving skills.
Ability to follow instructions/Standard Operating Procedures.
Promotes and strives for continuous improvement.
Excellent communication skills, both written and oral, including the ability to present complex information with clarity.
Excellent time management and organisational skills.
Good interpersonal skills, with the ability to work as part of a team.
Additional Requirements Requirement:
Attention to detail -
Importance:
Essential
Requirement:
Promotes equality and values diversity -
Importance:
Essential
Requirement:
A willingness to travel to other research organisations for the secondments -
Importance:
Essential
Requirement:
High level analytical capability and an inquisitive mind -
Importance:
Essential
Requirement:
Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute -
Importance:
Essential
Requirement:
Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work -
Importance:
Essential
Requirement:
Willingness to work outside standard working hours when required -
Importance:
Essential
Who We Are About the Earlham Institute The Earlham Institute is a hub of life science research, training, and innovation focused on understanding the natural world through the lens of genomics.
We are building a future where the biology of any organism can be understood by analysing its genome. Our mission is to decode the scale and complexity of living systems so we can understand, benefit from, and protect life on Earth.
The Earlham Institute is based on the Norwich Research Park and is one of eight institutes that receive strategic funding from the UKRI Biotechnology and Biological Science Research Council (BBSRC).
Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make predictions about biology.
We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe.
Our Culture The Earlham Institute champions 'team science'. Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally.
The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us.
We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration.
PhD Studentship We are seeking an applicant for a fully funded HORIZON-MSCA-2023-DN PhD studentship in the group of Prof Irene Papatheodorou at the Earlham Institute. Prof Papatheodorou's research focuses on the development of computational methods for integrative analyses of single cell omics data.
The role: In this project, the applicant will be employed as well as registered for PhD and will work in a team formed by an international, interdisciplinary consortium to develop comprehensive cell atlases of regeneration in three different species: zebrafish, mouse, and axolotl.
The ideal candidate: At the time of recruitment by the host organisation, the successful candidate must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than twelve months in the three years immediately before the reference date.
The successful candidate should have a MSc in Bioinformatics, Computing, Data Science, Machine Learning. It is important to note that candidates must not hold a PhD degree at the time of recruitment.
Additional information: Salary on appointment is anticipated to be £54,888 (living allowance + mobility allowance). This salary is set by EU/UKRI and is subject to deductions. Family allowance is applicable should the successful candidate be eligible.
This is a full-time post with an expected start date of June 1st or October 1st 2025. The contracted end date is 31st October 2028.
Applicants should fulfil the entry requirements for PhD registration at the University of East Anglia (UEA) and should have, or expect to obtain, a good Undergraduate Honours Degree (minimum of UK equivalent 2:1 undergraduate degree or a UK equivalent 2:2 undergraduate degree with an equivalent UK Masters graded at 60% or over). Please see the academic eligibility criteria here: UEA Academic Eligibility Criteria
This role meets the criteria for a visa application, and we encourage all qualified candidates to apply. Please contact the Human Resources Team quoting 1004813 if you have any questions regarding your application or visa options.
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.
The closing date for applications will be 16 January 2025.
#J-18808-Ljbffr
