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Overview of the all job opportunities within Sanger.

Advanced Research Assistant

Salary in the region of £26,364 - £31,900 (dependant on experience) plus excellent benefits

Fixed term for 2 years

We are looking for an Advanced Research Assistant to help with the day to day running and organisation of the lab. You will be exquisite with attention to detail, good laboratory practice, and excellent interpersonal skills.

You will work as part of our team, passionate about malaria parasites and mosquito vectors. You will be comfortable handling large numbers of samples, with careful attention to detail and sample management. You will have experience working with DNA and RNA, ranging from extractions, PCR, qPCR, sample quality control, to sequencing library preparation. From time to time, we might also need assistance with human malaria parasite culturing and with mosquito maintenance. We will train you up on these areas.

The major aspects of your role will be running projects in the molecular lab and helping keep track of projects and samples. However, we also often have new projects that require creativity and independent research to implement, and we are looking for a creative problem solver who takes initiative and has genuine interest in helping all lab projects succeed.

This position requires someone who will be good at balancing many different demands on their time, and taking a large role in keeping our lab running smoothly. As our lab grows, this position has phenomenal potential to offer career progression to Lab Manager/Senior Research Assistant.



Advanced Research Assistant

Salary in the region of £26,364 - £31,900 (dependant on experience) plus excellent benefits

Fixed term for 2 years. 

We are seeking an enthusiastic individual to join our established team Sanger Malaria Programme as an Advanced Research Assistant.

The Sanger Institute Malaria Programme generates and analyses large-scale genome datasets in order to understand how parasite genetics affects the biology and epidemiology of malaria.

You will play a part in developing new genetic tools to manipulate Plasmodium genomes. Recent developments in our team have allowed us to scale up reverse genetic analysis of the rodent model malaria parasite Plasmodium berghei (Gomes et al. (2015) Cell Host Microbe PMID: 25732065). We are now turning our efforts towards human malaria parasites, with the focus of this role being the translation of vector production and transfection technology to human-infective species such as Plasmodium falciparum.

You will use a combination of advanced molecular biology techniques including Gibson assembly, recombineering and Gateway technology to produce gene targeting constructs. The role will also support the team with other molecular biology tasks associated with conducting genome-wide KO screens. This is chiefly a vector pipeline / production position, where the majority of the day-to-day activities will be to perform molecular biology techniques. However, the long-term goals of the role extends to transfecting the constructs into parasites at a mid to high throughput scale.

We consider applications equally from those who wish to work full time (37 hours) or for a minimum of 18.5 hours per week via a flexible working arrangement


Advanced Research Assistant

Salary in the region of £26,364 - £31,900 (dependant on experience) plus excellent benefits

Fixed term 3 years

An Advanced Research assistant position is available at the Wellcome Sanger Institute under the leadership of Dr Daniel Gaffney, faculty research focusses on identifying genetic changes that alter cell phenotypes and functions. His research combines a mixture of computational and experimental techniques to map and characterise genetic variants that alter cellular traits.

This is an exciting opportunity for you to implement, develop, assist and scale-up existing and novel protocols for functional genomic and immunology assays in primary and iPS-derived human cells. You will independently carry out both routine and more bespoke laboratory protocols and procedures as required in a consistently efficient, accurate and precise manner. You will have supervisory responsibility for the day to day operation of laboratory, resolving minor issues and scheduling/planning work of others.


Advanced Research Assistant - CRISPR Human iPSC Gene Editing

Salary range £26,364 to £31,900 per annum plus benefits

We are seeking an enthusiastic individual to join our established team as an Advanced Research Assistant on a fixed term contract up to 12 months.

You'll perform bespoke genome engineering projects and develop gene modification techniques in human induced pluripotent stem cells (iPSCs) using CRISPR/Cas9 technology.

You will work as part of the human gene editing team within the Cellular Operations division, in the bespoke section led by Dr Andrew Bassett and in collaboration with other members of the scientific faculty at the Sanger Institute.

You will employ genome engineering techniques to model human diseases in iPS cells and their derivatives, and introduce or revert potential genetic changes to understand the causative lesions underlying such diseases.

The recent development of human iPSCs, and the use of genome editing technologies such as CRISPR/Cas9 has enabled us to model the genetic basis of many human diseases in an appropriate cell type derived from an individual with the disease. The Wellcome Sanger Institute has an extraordinary background in human disease genetics and has recently produced hundreds of iPSC cell lines derived from human patients with and without disease. 

We consider applications equally from those who wish to work full time (37 hours per week) or for a minimum of 4 days (30 hours per week) via a flexible working arrangement


Bioinformatician/ Senior Bioinformatician

Salary in the region of £25,125 - £30,402 (Bioinformatician) plus excellent benefits

Salary in the region of £35,924 - £43,468 (Senior Bioinformatician) plus excellent benefits

Fixed Term for 3 years

The Wellcome Sanger Institute are seeking to recruit a Bioinformatician / Senior Bioinformatician who can facilitate the scientific work of the Jones group by leading the computational data analysis support for the team and their collaborators.

The group, led by Phil Jones, studies pre-cancer, how mutant cells evolve into cancers in humans and model systems (Jones Group). We are passionate about how mutant clones compete with each other and interact with the cancer promoting environment during epithelial cancer evolution in order to guide new cancer prevention therapy. Our cross disciplinary approach exploits quantitative methods to link mutation with changes in cell dynamics (see links 1-3 below). Recent work includes developing a new deep sequencing technique to reveal a high density of clonal mutations in normal human skin, basis of skin stem cell fate and developing new models of oesophageal cancer. The post holder will be able to exploit extensive bioinformatics expertise within the Institute.

Many of our experiments involve the generation of large quantities of DNA sequencing which require strong computational skills to build high quality data and carry out statistical analysis to interpret the results. Collaborating within the team with experimentalists and quantitative biologists to integrate genomic analysis with other types of data to resolve the cellular and tissue effects of mutations within tissues is a significant part of what we do.

You will be an excellent communicator and be able to understand the scientific background and technical detail of the team's projects, and be to be proficient at devising and implementing software solutions and statistical analysis. This role would suit a graduate with coding ability who wishes to contribute to understanding how cancer develops. Training in the background biology and computational skills will be provided. You will work in conjunction with other computational biologists in the group and with other teams at Institute.

  1. Martincorena I, Roshan A, Gerstung M, Ellis P, Van Loo P et al. Science 2015;348; 880-6. Tumor evolution. High burden and pervasive positive selection of somatic mutations in normal human skin. PUBMED: 25999502; DOI: 10.1126/science.aaa6806
  2. Roshan A, Murai K, Fowler J, Simons BD, Nikolaidou-Neokosmidou V and Jones PH. Human keratinocytes have two interconvertible modes of proliferation. Nature cell biology 2016;18;145-56. PUBMED: 26641719; DOI: 10.1038/ncb3282
  3. Frede J, Greulich P, Nagy T, Simons BD and Jones PH. A single dividing cell population with imbalanced fate drives oesophageal tumour growth. Nature cell biology 2016;18, 967-78. PUBMED: 27548914; DOI: 10.1038/ncb3400


Bioinformatics Implementation Manager

Salary: Upto £46241pa plus excellent benefits

Fixed-term until 31st March 2021

The NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance (AMR) aims to provide intelligent global surveillance of bacterial pathogens using whole genome sequencing (WGS) through appropriate sampling and analysis in sentinel surveillance sites within strategically relevant countries. 

We are seeking an enthusiastic Bioinformatics Implementation Manager to facilitate transfer of expertise and ownership of microbial genomic data processing and interpretation in four sentinel laboratories in strategic locations; India, The Philippines, Colombia and Nigeria.  Each laboratory has been chosen to represent a network of hospitals either actively or on the cusp of being involved in the surveillance of AMR within each country. 

You will lead front-line bioinformatics method development and support for large scale sample processing / data QC and interpretation at The Centre for Genomic Pathogen Surveillance (CGPS) at The Wellcome Sanger Institute (WSI) to provide expertise in interpretation through easy-to-use data tools and analytics will enable each location to further develop local research agendas and to feed data into broader global monitoring of particular pathogens between sites through open access databases. 

You should be intimate with pipelines for the processing of microbial genomic data, and have an enthusiasm for the operationalizing and delivery of data and interpretation via the web. Within CGPS, we develop user-friendly web applications for the delivery of genomic data, linked to relevant epidemiological information for interpretation. (see Microreact , WGSA , Epicollect5

Working closely with the Laboratory Implementation Manager, and a team of genomic epidemiologists, bioinformaticians, post-doctoral scientists and software and web application developers you will manage and lead the operationalisation of data flow infrastructure in sentinel laboratories in LMICs. You will bring an enthusiasm for translational bioinformatics and lead the development of cross-facility training programmes, bioinformatics SOPs, QA and QC and data interpretation protocols for the genomic surveillance of AMR.


Data Scientist - Antimicrobial Resistance

Salary upto £43468pa plus excellent benefits

Fixed-term until 31st August 2019

We are seeking an expert Data Scientist to work on mining and modelling pathogen phenotypic, genomic and epidemiological data for the identification and surveillance of risk patterns.  You will work with a team of software engineers, genomic epidemiologists and microbial genomic researchers based at The Centre for Genomic Pathogen Surveillance (CGPS) and lead the utility and application of ML and data analytic methods across our project workspaces.

The role is part of a NIH grant on ‘Big Data for knowledge’ and is a collaboration between the Centre for Genomic Pathogen Surveillance at the Wellcome Sanger Institute and the WHO Collaborating Centre for surveillance of antimicrobial resistance, Boston, USA. 

Our partner on this project, the WHO Collaborating Centre for Surveillance of Antimicrobial Resistance, has been responsible for the development of a widely used software called WHONET (120 countries, over 10,000 labs), which allows laboratories to collate microbiological and phenotypic data on isolates (samples from patients), including whether they are resistant or sensitive to sets of antimicrobials.  

Your role will be to help develop analytic frameworks for data collated from a large number of WHONET instances (and similar platforms) to develop intelligent alerting for flagging the emergence of risk and the subsequent intelligent use of Whole Genome Sequencing (WGS) (eg for risk flagging, diagnostics and inference of transmission).   

You should have expertise in one or more of data mining, statistical analysis, machine learning and modelling and a thirst for utilising your expertise to provide methods for use in real world applications.  The post will involve substantial liaison with local and international agencies and partners in Low and Middle Income Countries (LMICs) focussed on the generation of and intelligent use of surveillance data for the control of AMR.


Director of Open Targets

Salary in the region of £100,000 - £185,000 plus excellent benefits (Grade PSG1) 

Fixed-term for 5 years

We are seeking a Director of Open Targets to advance the science of target identification, prioritisation and validation.

Open Targets: was launched in 2014 with seed funding from GSK and has expanded into a scientific entity currently with 5 partners (Sanger, EMBL-EBI, GSK, Biogen, Takeda). Open Targets has a portfolio of experimental and bioinformatics platforms and ~90 individuals housed in dedicated space at the Wellcome Genome Campus, Hinxton, Cambridge.

Open Targets combines the skills, knowledge and technologies of its partner organisations, offering a critical mass of expertise that does not exist in any single institution. Large-scale genomic experiments (Sanger Institute) and computational techniques (EMBL-EBI) developed in the public domain are blended with formal pharmaceutical R&D approaches. Experimental data and information generated within the initiative are shared openly to benefit the broader scientific community.

The role will require you to work with the partner organisations to ensure the evolution of an aligned and ambitious strategy with clearly defined goals and milestones. You will sustain and grow Open Targets through recruitment and renewal of industrial partners. You will champion Open Targets approach with the academic and industrial community and develop Open Targets through the recruitment of world-leading scientists and the establishment of additional funding streams.

The role will have an initial five-year tenure however subject to successful review it is envisaged that the role will thereafter be subject to rolling 5-year review.


Head of Cellular Genetics Operations

Salary in the region of £70,000 - £80,000 (dependant on experience) plus excellent benefits


We are currently seeking a Head of Cellular Genetics Operations to pursue the full responsibility for the operational management of the Cellular Genetics Programme at the Wellcome Sanger Institute. Working strategically with the Head of Programme and the programme’s faculty teams, you will develop the operational structure of the programme to ensure the appropriate administrative and scientific support frameworks exist to expedite delivery of the science on a global basis.

We are searching for an expert scientist and manager with a substantial track record of scientific operational and strategic management related to areas of genomics and bioinformatics. A critical thinker who is adept at solving complex problems, you will be comfortable in setting strategic operational goals, handling budgets, providing progress reports and identify operational risks.

You will have an understanding of academic research groups, and how best to support them through administrative, IT and technology platform services. Experience of coordinating managing and mentoring administrative, scientific and computational staff, in research and/or scientific support contexts in academia or industry is also essential.

Key to the success of this role is the ability to build, influence and handle strategic and collaborative relationships with internal and external partners to increase the profile of the programme and its projects, including large international ventures. This will involve at times complex multi-party discussions within Sanger and with external global consortia to support the programme’s strategic vision and maximise success of its research goals.

  • Accountable for the operational management of the Cellular Genetics Programme.
  • Setting strategic goals, providing progress reports and identify operational risks.
  • Responsible for commercial discussions with procurement and legal within Sanger and with other consortium
  • Working with the Head of programme and Faculty team to ensure appropriate support frameworks exist to support delivery of the science.
  • To lead and inspire change and improvements within delegated area of responsibility
  • To contribute towards delivering the overall programme of research
  • Be involved in the presentation of findings to promote the WTSI and Cellular Genetics projects, and identify and build strategic relationships external to Sanger to increase the profile of the programme and projects.


Operational Lead (Global Health Research Unit)

Salary range: circa: £40000 pa plus excellent benefits

Fixed-term until 31st March 2021

The NIHR Global Health Research Unit (GHRU) on Genomic Surveillance of Antimicrobial Resistance (AMR) aims to provide intelligent global surveillance of bacterial pathogens using whole genome sequencing (WGS) through appropriate sampling and analysis in sentinel surveillance sites within strategically relevant countries. 

We are seeking an Operational Lead to lead front-line laboratory support for large scale sample management and sequencing of bacterial strains at The Centre for Genomic Pathogen Surveillance (CGPS) at The Wellcome Sanger Institute (WSI). You will facilitate transfer of expertise and ownership in four sentinel laboratories in strategic locations; India, the Philippines, Colombia and Nigeria.  Each laboratory has been chosen to represent a network of hospitals either actively or on the cusp of being involved in the surveillance of AMR within each country.  Expertise in interpretation through easy-to-use data tools and analytics will enable each location to further develop local research agendas and to feed data into broader global monitoring of particular pathogens between sites through open access databases.

You will take a lead in the development of cross-facility training programmes, SOPs and protocols (for sequencing and standard molecular and phenotypic testing), and build a network of laboratory expertise across units to operationalise the process of rollout of WGS for surveillance of AMR. 

You will have experience of managing/running a sequencing laboratory focussed on prokaryotic pathogens, along with an enthusiasm and appetite for operationalising standard procedures, QA and cross-site QC and the rollout of sequencing for embedding within in LMICs. 

You will exhibit an exquisite attention to detail, good laboratory practice and excellent interpersonal skills, liaising with the sequencing facilities and infrastructure at WSI to access, understand barriers and implement best practice in conjunction with local laboratory and facilities managers.


Public Health Web Software Developer - CGPS

Salary: upto £44525 plus excellent benefits

Fixed-term until: 30th September 2019

We are seeking an experienced web developer to work on an exciting and progressive project between the US Centers for Disease Control (CDC) and The Centre for Genomic Pathogen Surveillance (CGPS).

The role is focussed on providing generic data flow components to aid the linkage and interpretation of genomic and epidemiological information to inform understanding of the spread of pathogenic organisms.

To understand the spread of pathogens, data on their location, in both time and space, their public health impact, their likelihood of causing disease and other epidemiological data, often housed in different systems, need to be brought together and visualised in ways that enable public health workers and officials to inform decisions. Increasingly, genomic data are used to assess similarity between different samples and offer a huge leap in our understanding.

Bringing these data together provides exciting challenges, both logistically and from a data science and software development perspective.

You will help to assess data requirements, liaise with our core team of developers and implement a number of data flow components for pilot utility with a number of groups at the CDC. A set of reusable components will form the basis of a generic system focussed on open re-use both within the CDC and for broader utility within other CGPS projects and the wider community.

You will be a highly motivated and capable web developer with an enthusiasm for implementing generic, flexible and adaptable software components linked to interactive front-end visualisation tools such as

Based at the Wellcome Genome Campus you will work with a team of developers, data scientists and genomic epidemiologists driven to provide interpretation tools to translate a wealth of genomic and epidemiological data into interfaces and outputs that can inform public health decision-making. Examples of existing applications that highlight technologies include

Microreact , Epicollect5 and WGSA.



Research Assistant

Salary in the region of £19,273 to £22,000 per annum plus benefits

We are seeking a highly motivated and flexible individual to join us as a Research Assistant. As a Research Assistant you will be working the laboratory where you will be responsible for performing either routine techniques in a high throughput environment or niche processes in a bespoke environment in line with SOP’s.

The DNA Pipelines department (DNAP) has a central role within Wellcome Sanger Institute, delivering high quality data to our faculty and their collaborators over a range of techniques and platforms. These include, but are not limited to, Sequencing using Illumina & PacBio technologies, Genotyping using Illumina, Agena BioScience and Fluidigm technologies and BioNano Genome mapping. We have a Sample Logistics team providing import and export of samples globally and internally. This team also offers extraction services utilising Qiagen technologies.

You will work as part of a team and you'll produce quality data within defined timeframes and assist with the everyday running of the laboratory.

We will consider applications from recent graduates in a scientific discipline looking to start a career in molecular biology and gain experience in a range of techniques.


Research Assistant

Salary in the region of £19,273 to £23,320 per annum plus benefits

Fixed Term Contract - 2 years

The Genomics of Drug Sensitivity in Cancer group focuses on understanding the consequences of alterations in the DNA of cancer cells. We do this at scale using multiple approaches including drug sensitivity screens in cancer cell models. Vulnerabilities within cancer cells identified from the data generated can then be exploited as novel drug targets or as genetic markers for patient selection.

To support this research we are seeking a Research Assistant to join the drug sensitivity screening team to perform high-throughput viability assays in cell lines and organoid models. The role will be based in the laboratory focusing on culturing the cell models, preparing and processing micro-well based assay plates. Good communication skills are essential to co-ordinate work closely with other team members.

The screening team manages over 1000 cancer cell models requiring individuals to demonstrate excellent organisational and time management skills in order to meet project deadlines and weekly schedules. The biological assays utilise state of the art automation platforms and sample management systems to process and track experiments through the lab. Experience in cell culture and associated techniques or high-throughput laboratories would be an advantage although not essential.


Research Assistant / Advanced Research Assistant

Salary in the region of £19,273 to £31,900 per annum depending on role and experience

The Sanger Mouse Pipelines Genome Engineering group(GE) generates custom mutations in mice by gene targeting in embryonic stem (ES) cells and directly in the mouse zygote by applying cutting edge gene targeting technology.GE creates mutant alleles of interest to Sanger Institute Faculty, many of which are used as models for human disease. Our efforts benefit from extensive targeting vector/ES cell modular resources generated previously as part of the KOMP, EUCOMM, and EUCOMMTOOLs high throughput gene targeting programs and associated expertise as well as the successful implementation of CRISPR/Cas9 methods.

We are seeking a highly motivated and flexible individual to join the GE team as an Research Assistant or Advanced Research Assistant. The post holder’s main responsibilities will be execution of day-to-day workflows of projects for the generation of targeting vectors, CRISPR/Cas9 reagents and the generation and validation of quality assured targeted mouse ES cells. Key responsibilities include execution and timely delivery of these resources, accurate record keeping, project troubleshooting and an ability to work across multiple projects.  In addition, the group also has a research and development (R&D) commitment to implement new approaches that facilitate the insertion of complex alleles directly into the mouse zygote.

Previous experience of mammalian cell culture, especially mouse ES cell (mESC) culture is a prerequisite for this role. The candidate would also be expected to be able to genotype the mESC clones generated in order to provide quality assured reagents for microinjection. The candidate should have a broad knowledge of molecular biology techniques such as nucleic acid extraction, construct generation (via conventional cloning, Gibson assembly and/or recombineering), PCR, restriction enzyme analysis and sequencing. An understanding of conventional gene targeting and the more recent CRISPR/Cas9 genome engineering techniques would be advantageous. The successful candidate must be able to work as part of a team and also have the   ability to independently handle complex workflows from project start to delivery. Good communication/record keeping skills are a key part of the role.

Some weekend cell culture is anticipated in this role.


Senior Research Assistant

Salary in the region of £33,185 to £40,153 per annum plus excellent benefits 

A rare opportunity has arisen for a talented cell biology specialist to support the Cellular Generation and Phenotyping team (CGaP) here at the Sanger. You will be working as part of an international collaboration, striving to develop one of the largest cancer organoid biobanks in the world.

  • Do you thrive in a multi-disciplinary team, working together to solve complex cell biology issues?
  • Have you ever worked in a R&D, high throughput or process driven setting?
  • Do you have experience in organoids/spheroid/3D culture and/or primary tissue processing?
  • Alternatively, do you have extensive experience in cell biology?

If you said yes to the above questions, then this is the job for you.

We are a core facility, responsible for providing cell biology resource and expertise to the wider institute. We do this by running multiple, diverse, high throughput projects for various faculty teams from across the Sanger Institute. Our current portfolio of projects includes genome wide CRISPR screens, iPSC derivation and differentiation, organoid derivation and generation of P. Falciparum mutants.

You will join a large multi-disciplinary team who are working as part of the Human Cancer Model Initiative to generate a large cancer organoid biobank. Approximately 1,000 human cancer cell lines are available worldwide, which are a useful resource for cancer research. However as we enter the era of precision medicine, poor disease representation, insufficient numbers to capture the genetic diversity of cancer, lack of clinical outcome data and lack of comparison to normal reference samples limit their use. Novel cell culturing methods such as organoid derivation will revolutionise our ability to derive new models and have the potential to overcome these limitations.

As a senior research assistant you will play a fundamental role in developing organoid derivation protocols for a growing portfolio of tissue types. Working in close collaboration with the Garnett faculty team you will help develop and transfer protocols into the CGaP facility. Here at CGaP you will be working with an experienced team of enthusiastic, highly motivated research assistants, under the management of a Senior Scientific Manager. Your role will include offering day to day support to the team including, training, troubleshooting and identifying areas for process improvement. A fundamental aspect of the role will be to inspire, develop and mentor junior staff, as well as working closely with the Senior Scientific Managers to successfully deliver projects.

Looking to the future there are plans to run genome wide CRISPR library screen using the organoid biobank resource. Your knowledge, skills and experience will all be needed to help bring this project online. Over time there will be scope for you to move across the many diverse projects we run here at CGaP.

In addition to the lab work our senior research assistants are expected to have strong time management and organisational skills, be excellent communicators and in some cases may acquire line management responsibilities. As a department we strive to work together where possible, building a culture of continues process improvements. We support all staff to take part in department and institute wide initiatives.


Senior Software Developer

Salary in the region of £41,000 plus excellent benefits

We are seeking a senior software developer with great energy, empathy, and curiosity to design and craft software that enables the service delivery of globally significant scientific research at scale.

What we can offer

Genuine job happiness supporting large teams of scientists at one of the world’s leading research centres delivering extraordinary improvements in human and animal health.

Team work with senior and junior developers coding in Java, JavaScript, Ruby, Python, SQL and noSQL technologies deployed to Linux (typically), Macintosh and Windows environments.

The chance to create enterprise technical solutions with virtualisation, web services and message bus technologies (OpenStack, VMware, Rabbit MQ) in an open source culture (

Professional growth and development through a dedicated training budget and exposure to all elements of the software development process managed using Scrum.

Space to explore your long-term opportunities through our trained coaches and mentors program, In our most recent Employee Survey, 92% of respondents said that they feel proud to tell others that they work here.

To be part of a diverse group of over 300 on site developers helping to build great technologies to support Wellcome's 25 year vision for the campus (

A comfortable working environment with a first name culture, informal dress code, a company social calendar and modern offices set in the 55 acre grounds of Hinxton Hall and associated wet land reserve ten miles to the south of the charming city of Cambridge.

We welcome applications equally from those who wish to work full time (37 hours) or for a minimum of 30 hours per week via a flexible working arrangement


Software Developer - Pathogen Informatics

Salary range: £40,345 to £48,818 per annum plus excellent benefits

Fixed-term until 30th September 2019 in the first instance

We are seeking an enthusiastic Software Developer to join our Pathogen Informatics team at the Wellcome Sanger Institute.

You will be responsible for developing backend software infrastructure that will enable biologists to curate and annotate protozoan parasites and pathogenic fungi genomes. Protozoa are responsible for many of the neglected diseases (Sleeping Sickness, Chagas Disease, Leishmaniasis) that disproportionately affect the developing world. Fungi are responsible for more disease each year than malaria or tuberculosis. 

You will work as part of an international collaboration involving software developers from the EuPathDB project at the Universities of Pennsylvania and Georgia, curators from the University of Liverpool, as well as researchers and developers in the Infection Genomics programme at the Sanger Institute.

The team is based on the principles of agile development so that the software can be rapidly prototyped, updated regularly and receive rapid feedback from scientists in the Infection Genomics programme and wider community. The team employ a testdriven development strategy for all software development projects and strongly promote open source development using Github for all software projects.


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