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associate data scientist

Liverpool School of Tropical Medicine

<div>Full-Time, Fixed-term appointment for 18 months
Based in Liverpool with occasional international travel 
The Liverpool School of Tropical Medicine (LSTM) is recruiting a Research Data Engineer to support the curation of cloud-based genomic data and maintenance of computational resources for malaria vector research, surveillance, and control.
The successful candidate will join the MalariaGEN Vector Team working on the Vector Observatory project, which aims to improve access to large genomic datasets, develop technologies for their analysis, and support interpretation for public health applications. The role involves developing and maintaining cloud-native genomic data resources, bioinformatics pipelines, and computational infrastructure.
Given the multidisciplinary nature of the project we welcome applications from candidates who hold a post-graduate degree in a range of fields including Bioinformatics, Computer Science, Engineering and Genomics. Previous experience working with disease vector data is not essential and we encourage all applicants interested in large-scale data management, computational design and resource management, and genomics data to address important public health issues.
Key responsibilities will include:
Curate and optimise cloud-native genomic data resources<ul><li>
Curate large-scale genomic data resources related to malaria vectors.</li><li>
Maintain quality through data and code management best practices.</li><li>
Support the implementation of data standards, including access, sharing and governance compliance.</li></ul> 
Build and maintain tools, resources and bioinformatic pipelines<ul><li>
Build, test and implement scalable genomic-based computational workflows and tools.</li><li>
Contribute to the deployment and improvement of containerised code and computational environments to ensure analysis reproducibility.</li><li>
Maintain computational resources to enable data processing.</li></ul> 
Provide domain-specific technical support internally and externally<ul><li>
Write and improve internal technical documentation and user-focused resources to support best practices.</li><li>
Support students and researchers working on similar topics, particularly in troubleshooting code, resolving bugs and issues to facilitate data use.</li><li>
Contribute to workshops, hackathons and training to support partners and collaborators.</li><li>
Generate ideas, data and code to support project technical improvements.</li></ul> 
Ideally you will demonstrate:<ul><li>
Post-graduate degree in Bioinformatics, Computer Science, Engineering, Genomics; or fields alike</li><li>
Experience of large-scale data management, including strong programming skills, ideally in Python</li><li>
Experience with cloud computing environments or distributed computing platforms</li><li>
Experience managing container-native workflows</li><li>
Experience or knowledge of next generation sequencing technologies and bioinformatics (desirable)</li><li>
Experience deploying data products on-premises, cloud, and/or hybrid setups (desirable)</li></ul> 
(For a full list of essential and desirable criteria please refer to the job description and person specification) 
Informal enquiries can be made to: Anastasia.Hernandez-Koutoucheva@lstmed.ac.uk 
Additional benefits of joining LSTM: 
<ul><li>
Access to support for your career growth through a variety of internal and external learning and development opportunities</li><li>
Employee Assistance Platform offering a range of wellbeing initiatives and support, in addition to high-street discount offers</li><li>
30 days annual leave, plus 8 UK bank holidays, in addition to 6 Christmas closure days</li><li>
Generous occupational pension schemes including USS (Universities Superannuation Scheme) and NHS pension schemes (subject to eligibility)</li><li>
Government backed &ldquo;cycle to work&rdquo; scheme</li><li>
Affiliated, discounted staff membership to the University of Liverpool Sports Centre</li><li>
A range of enhanced family friendly policies</li></ul> 
Application Process: To apply for this position please follow the apply link and upload your CV, complete our application form and attach a covering letter outlining your interest in the post, and how your skills and experience align. 
Due to the volume of applications we receive, we may sometimes close our vacancies early. It is therefore advisable to apply as early as possible if you would like to be considered for a role. 
 Please click here to learn important information about applying for a position at LSTM.</div>

Research Data Engineer (91325)

The Very Group

<div>Internal use only - Grade F
About us
We&rsquo;re the team behind digital retailer Very.
Our purpose, helping families get more out of life, powers everything we do.
And we want our people to get more out of life too! If you&rsquo;re high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you&rsquo;ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go.
If you love making a difference, you&rsquo;ll love making it sparkle for millions of Very customers. ✨
About the Role
You&rsquo;ll be a hands-on senior engineer at the heart of our data transformation. You won&rsquo;t just deliver pipelines. You&rsquo;ll shape how we build them, how we scale them and how we make them better.
You&rsquo;ll work with modern cloud technologies, help evolve our data platform and influence engineering standards across the team. You&rsquo;ll also support and mentor others, helping create a strong, collaborative engineering culture.
The impact is real. Better data means better customer experiences, faster decisions and stronger performance across Very.
We&rsquo;re transforming how data powers Very. This isn&rsquo;t about maintaining what already exists. It&rsquo;s about building what comes next.
We&rsquo;re modernising our entire data platform with cloud-first technology, and you&rsquo;ll play a key role in shaping it. From improving how we serve millions of customers to enabling smarter decisions across the business, your work will directly influence how Very grows and competes.
If you enjoy solving meaningful problems, building at scale and helping others raise their game, you&rsquo;ll feel right at home here.
Day to day you will be working on the following.<ul><li>
Designing and building scalable, reliable data pipelines that power key business decisions</li><li>
Shaping our cloud-based data platform, improving performance, cost, and usability</li><li>
Taking ownership of solutions from idea through to production and beyond</li><li>
Driving improvements in how we build, deploy and monitor data products</li><li>
Troubleshooting complex data issues and making them disappear for good</li><li>
Supporting releases and ensuring everything we ship is stable and observable</li><li>
Raising engineering standards through code reviews, reusable patterns and best practice</li><li>
Coaching and mentoring other engineers, helping them grow and succeed</li><li>
Collaborating with product, platform and engineering teams to deliver meaningful outcomes</li><li>
Contributing to technical decisions that improve scalability, reliability and speed</li></ul>
About you
You&rsquo;re someone who enjoys building things that matter and making them better over time.
You&rsquo;ll likely bring:<ul><li>
Strong experience designing and delivering production-grade data solutions</li><li>
Confidence working with cloud technologies, AWS is preferred.</li><li>
Solid coding skills in languages like Python, SQL / Java or Scala</li><li>
Experience working with large-scale data platforms, data lakes or warehouses</li><li>
A good understanding of modern data concepts like Lakehouse, ingestion and analytics</li><li>
Experience across the full delivery lifecycle, from design to support</li><li>
A mindset focused on quality, simplicity and continuous improvement</li><li>
The ability to break down complex problems and explain them clearly</li><li>
A natural instinct to support and mentor others</li></ul>
Some of our benefits
<ul><li>Flexible, hybrid working model
</li><li>Inclusive culture and environment, check out our Glassdoor reviews
</li></ul><ul><li>&pound;1000 flexible benefits allowance to suit your needs
</li><li>30 days holiday + bank holidays
</li><li>LinkedIn Learning access
</li><li>Bonus potential (performance and business-related)
</li><li>Up to 25% discount on Very.co.uk
</li></ul><ul><li>Matched pension up to 6%
</li><li>More benefits can be found on our career site
</li></ul>How to apply
Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.
What happens next?
Our talent acquisition team will be in touch if you&rsquo;re successful so keep an eye on your emails! We&rsquo;ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we&rsquo;re a good match, we&rsquo;ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.
You can expect a two stage interview process for this position:
1st Stage - 30 Minutes Teams call - likely with our Data Engineering Manager, we will then share a Take Home Task.
2nd Stage - A one hour technical interview to discuss your take home test in more detail.
As an inclusive employer please do let us know if you require any reasonable adjustments.
If you'd like to know more about our interviews, you can find out here.
Diversity, inclusion and equal opportunities
We&rsquo;re building a culture of everyday inclusion, and welcome applications from anyone who believes they can do the job. We don&rsquo;t discriminate based on age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.
We want our recruitment process to be accessible to everyone. If you need reasonable adjustments to apply, interview, or perform a role, let us know via talentacquisition@theverygroup.com. We&rsquo;ll be happy to support you.
We&rsquo;re proud to be a Disability Confident Committed Employer and have nine brilliant colleague networks - including DAWN (Disability Awareness at Very) and Think (Neurodiversity at Very) - that are helping us make Very an even more inclusive place to work.</div>

Senior Data Engineer

Explore 2+ Associate data scientist in Liverpool this July. Find roles across top companies and apply now to boost your career.

2 associate data scientist jobs In Liverpool

Research Data Engineer (91325)

Senior Data Engineer