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Department of Genetics

 

Teaching Associate in Bioinformatics (Fixed Term)


The Bioinformatics Training Facility within the School of Biological Sciences is seeking to recruit a Teaching Associate to develop and deliver Bioinformatics training materials at the University of Cambridge.

The post holder will be based in the Bioinformatics Training Facility. Reporting to a Bioinformatics Facility Senior Teaching Associate; the postholder will be involved in the day-to-day activities of the Bioinformatics Training team supporting the development and delivery of training courses at the University. Specific responsibilities will include:

  • Supporting the delivery of bioinformatics related training material to international institutions and organisations in collaboration with the UK Health Security Agency's New Variant Assessment Platform (https://www.gov.uk/guidance/new-variant-assessment-platform).
  • Developing and delivering new training materials for the Bioinformatics Training Facility's portfolio of courses, focussing on bioinformatics related training material (e.g. proteomics, metabolomics, metagenomics, transcriptomics etc.).
  • Contribute to the organisation of training activities more generally within the bioinformatics training facility.

Through a combination of project work, material development and the delivery of day-to-day training and support, this role will ensure that the Bioinformatics Training Facility provides an environment where all students and research staff are able to access training and support services that enables them to fulfil their academic, research and personal development goals.

The successful candidate will hold a PhD in a relevant scientific discipline or be able to demonstrate an equivalent level of experience. They should have an excellent understanding of bioinformatics pipelines as well as a good understanding of computational biology, mathematical or statistical topics. Excellent interpersonal and communication skills will be required in order to both liaise with other academic staff as well as deliver training to participants. Enthusiasm for providing high quality teaching resources is essential too.

Fixed-term: The funds for this post are available for 18 months in the first instance.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is midnight on Friday 30th September 2022

For informal enquiries about the role please contact Dr Matt Castle mdc31@cam.ac.uk

Please quote reference PC32957 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online

Senior Teaching Associate in Data Science and Machine Learning (Fixed Term)


The Cambridge Centre for Data-Driven Discovery (C2D3) in conjunction with the Bioinformatics Training Facility within the School of Biological Sciences is seeking to recruit a Senior Teaching Associate to lead the development and delivery of a portfolio of Data Science (predominantly machine learning) focussed training materials at the University of Cambridge.

The post holder will be based in the Bioinformatics Training Facility. Reporting to the Head of the Facility; the postholder will be involved in the day-to-day activities of the Bioinformatics Training team leading the development and delivery of training courses at the University. Specific responsibilities will include:

  • Developing and delivering a programme of data science and machine learning training courses. This will be realised predominantly through the creation of training materials for the Bioinformatics Training Facility's portfolio of short courses, focussing on applications and advanced topics related to data science and machine learning in disciplines where formal data science training has historically been less available.
  • Contribute to the organisation of training activities more generally within C2D3 and the bioinformatics training facility.

Through a combination of project work, material development and the delivery of day-to-day training and support, this role will ensure that C2D3 and the Bioinformatics Training Facility provide an environment where all students and research staff are able to access training and support services that enables them to fulfil their academic, research and personal development goals.

The successful candidate will hold a PhD in a relevant scientific discipline or be able to demonstrate an equivalent level of experience. They should have an excellent understanding of data science, machine learning and their applications across multiple subject domains as well as appropriate knowledge of related data science topics. Excellent interpersonal and communication skills will be required in order to both liaise with other academic staff as well as deliver training to participants. Enthusiasm for providing high quality teaching resources is essential too.

Fixed-term: The funds for this post are available for 3 years in the first instance.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is midnight on Friday 30th September 2022

For informal enquiries about the role please contact Dr Matt Castle mdc31@cam.ac.uk

Please quote reference PC32967 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online

Teaching Associate (Fixed Term)


The Bioinformatics Training Facility within the School of Biological Sciences is seeking to recruit a Teaching Associate to develop and deliver Python training materials in Bioinformatics and Data Science at the University of Cambridge. Additionally, the post holder will be responsible for supporting the development and delivery of practical training materials for the new second year (IB) course Mathematical and Computational Biology as part of the Natural Sciences Tripos.

The post holder will be based in the Bioinformatics Training Facility. Reporting to a Bioinformatics Facility Senior Teaching Associate; the postholder will be involved in the day-to-day activities of the Bioinformatics Training team supporting the development and delivery of training courses at the University. Specific responsibilities will include:

  • Supporting the lecturing team for the IB Mathematical and Computational Biology module to develop Python training materials for the course practicals.
  • Developing and delivering new training materials for the Bioinformatics Training Facility's portfolio of courses, focussing on introductory software development best practices and data science.
  • Contribute to the organisation of training activities more generally within the bioinformatics training facility.

Through a combination of project work, material development and the delivery of day-to-day training and support, this role will ensure that the Bioinformatics Training Facility provides an environment where all students and research staff are able to access training and support services that enables them to fulfil their academic, research and personal development goals.

The successful candidate will hold a PhD in a relevant scientific discipline, or be able to demonstrate an equivalent level of experience. They should have an excellent understanding of Python as well as a good understanding of computational biology, mathematical or statistical topics. Excellent interpersonal and communication skills will be required in order to both liaise with other academic staff as well as deliver training to students. Enthusiasm for providing high quality teaching resources is essential too.

Fixed-term: The funds for this post are available for 12 months in the first instance.

Applications are welcome from internal candidates who would like to apply for the role on the basis of a secondment from their current role in the University.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our University.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is midnight on Wednesday 21st September 2022

For informal enquiries about the role please contact Dr Matt Castle mdc31@cam.ac.uk

Please quote reference PC32952 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online

 

Cleaner (Part Time)


The Department of Genetics is looking to recruit an additional member of staff to join our team of morning Cleaners. The role is part-time (15 hours per week), Monday to Friday, and covers a range of general cleaning duties in our offices, research laboratories and communal areas and facilities.

Experience of laboratory and/or office cleaning, including experience using scrubber/polishing equipment would be beneficial, however training will be provided where necessary. As the role requires the use of cleaning products, the ability to follow safety instructions is essential.

We are a welcoming and friendly Department, located on the Downing Site in Central Cambridge with easy access to public transport links. We hold regular staff events, offer free passes for friends and family to the University Botanic Garden, and encourage all staff to make use of our tearoom and library facilities. Much of the Department has recently been refurbished to a high standard with lift access to each floor. For further information about the Department and the type of work that we do here, please visit our website https://www.gen.cam.ac.uk/

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The role is permanent, and we are happy to discuss flexibility on working times and days to suit the right applicant. If you have any questions about the position or the application process you are welcome to contact our Principal Assistant, Sara Singlehurst at sjs85@cam.ac.uk

If you would prefer to discuss the role in-person or on the phone, please contact Sara on the details provided above and we will be happy to arrange this for you.

Please note, as we are readvertising this vacancy, should we find a suitable applicant before the deadline of Sunday 18th September, we may need to close the advert early. If this happens, we will notify all applicants promptly.

Please quote reference PC31466 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online

Assistant Professor in Prokaryotic Genetics


The Department of Genetics is recruiting to an Assistant Professor (Lecturer) position in the general area of Prokaryotic Genetics. We are looking for a talented and ambitious individual whose research interests will extend the current profile of research in the Department (https://www.gen.cam.ac.uk/research-groups).

We are particularly interested in applications from individuals with strengths in genetic or quantitative approaches to genome biology, population and evolutionary genetics, or environmental genomics, that harness prokaryotic systems to address key questions in fundamental or applied biology. Shortlisted candidates will be outstanding scientists, with a track record of high quality research outputs and success in funding applications, who undertake cutting edge research and demonstrate the potential to develop links with other University Departments and institutions, both in the UK and internationally. The successful candidate will have an aptitude, enthusiasm and firm commitment to teaching at both undergraduate and postgraduate levels, and will be expected to contribute to and develop courses according to their expertise.

Applicants must have a PhD degree in a relevant subject, significant post-doctoral experience, and strong evidence of research excellence. University Assistant Professors are expected to develop and lead their own research programmes, so must be able to demonstrate a significant degree of independence.

The Department is committed to the Athena SWAN Charter to provide equal opportunities and to advance the representation of women and other under-represented groups in science. We particularly encourage women and/or candidates from a Black, Asian and Minority Ethnic background to apply for this vacancy as they are currently under-represented at this level within our University.

Appointment will be based on merit alone. As signatories of DORA (https://sfdora.org) the Department is committed to assessing research on its own merits rather than on the basis of the journal in which it is published.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for applications is midnight on Sunday 30th September.

For informal enquiries about the role please contact Professor Steve Russell, Head of Department of Genetics (sr120@cam.ac.uk).

Further information about the Department can be found on our website (https://www.gen.cam.ac.uk/).

Please quote reference PC32194 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information