At a Glance
- Tasks: Transform and manage large genomic datasets to support drug discovery and healthcare advancements.
- Company: Leading TechBio firm focused on genomics and health data.
- Benefits: Competitive salary, extensive leave, health insurance, and continuous learning opportunities.
- Other info: Flexible hybrid working, vibrant social culture, and clear career progression.
- Why this job: Join a mission-driven team making a real impact on healthcare through genomics.
- Qualifications: Experience in statistical genetics, Python, and data engineering; BSc or equivalent required.
The predicted salary is between 55000 - 65000 £ per year.
The Mission: Why We Exist
Genomics is a science-led transatlantic Tech Bio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare.
We are united by a single vision to help people live longer healthier lives, using the power of genomics.
- Location
- Oxford or London (Hybrid)
- Role Purpose
Data is the foundation of everything we do.
Our Data Engineering team owns the end-to-end journey of the genomic datasets that power both our commercial products and our internal science – from disease-risk insights that reach real patients, to the discovery of novel therapeutic targets.
As a Data Engineer in this small, high-impact team, you'll turn large, complex and scientifically consequential datasets into trusted, analysis-ready resources.
Your focus will be data transformation, harmonisation and quality control: working within established automated workflows, but bringing the statistical-genetics judgement to know when the numbers don't add up – and the curiosity to find out why.
As you grow, you'll take on broader work – helping define schemas for new data types and shaping how we expand our genomic data resource.
It's a genuine intersection of data engineering, data modelling and genetics, with real scope to develop across both technical and scientific dimensions.
- A Day in the Life
- Moving data in: ingesting large-scale genetic and genomic datasets – GWAS summary statistics, individual-level genotype and phenotype data – through a mix of scripting, automated pipelines and hands-on processing in a Linux environment.
- Safeguarding quality: interpreting QC metrics and diagnostic plots, investigating anomalies, and applying sound scientific judgement to resolve data-quality issues.
- Getting the detail right: configuring workflow parameters and curating dataset metadata so every dataset is correctly represented, fit for scientific use, and clearly described for internal scientists and external customers.
- Collaborating: partnering with software engineers and developers in an agile setting to diagnose pipeline issues, define requirements and continuously improve our ingestion and QC processes.
- Growing: contributing to schema design for new data types and helping expand our genomic data resource alongside science, product and engineering.
Who You Are
- Grounded in human statistical genetics, with hands-on experience of GWAS summary statistics and/or large-scale individual-level genotype and phenotype data.
- Proficient in Python and Unix/Linux, and able to point to real bioinformatics or data-engineering work in a research or commercial setting.
- Confident reading complex data-quality outputs, and able to use scientific judgement to investigate and resolve issues.
- Well organised – happy to plan, prioritise and deliver across competing tasks at pace.
- A strong communicator who works well across multi-disciplinary teams and just as effectively on your own.
- Educated to BSc or higher in a relevant discipline – bioinformatics, computational biology, human genetics or similar – or with equivalent experience
- Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & Growth
- Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.
- Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
- Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.
- Wellbeing & Time Off
- Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
- Financial & Health
Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
- Enhanced Leave: Enhanced paid family leave to support all new parents.
Work Environment & Culture
- Flexible Working: Hybrid Working (e. g., From our London, Oxford Office)
- Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
- Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
- Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.
We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.
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Genomics Data Operations Engineer employer: Genomics
Genomics is an exceptional employer that fosters a collaborative and innovative work culture, ideal for those passionate about healthcare technology. With a hybrid work model, employees enjoy flexibility while being part of a team dedicated to impactful product delivery in regulated environments. The company prioritises professional growth, offering numerous opportunities for advancement and skill development in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Genomics Data Operations Engineer
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Genomics. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Genomics!
We think you need these skills to ace Genomics Data Operations Engineer
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Genomics that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Genomics.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Genomics does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Genomics
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Genomics. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Genomics's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Genomics. This shows your passion for the industry!
