At a Glance
- Tasks: Drive therapeutic advancements through data insights and multi-omics analyses.
- Company: Well-funded Immunology biotech with a strong portfolio in autoimmune therapies.
- Benefits: Competitive salary, contract flexibility, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on cutting-edge research.
- Why this job: Make a real impact in healthcare by advancing innovative therapies.
- Qualifications: Experience in transcriptomics data analysis and strong R programming skills.
The predicted salary is between 40000 - 55000 € per year.
Jim Gleeson is looking for a Bioinformatician to join a well-funded Immunology biotech with a strong portfolio of autoimmune and inflammatory therapies. This will be a one year contract on either an interim or fixed term contract basis.
The Role: As Bioinformatician, you will play a key role in advancing therapeutic programs through data-driven insights. Operating at a mid–senior level and reporting to the Principal Data Scientist, you will work with a high degree of independence while actively contributing to cross-functional project teams. The role spans preclinical and clinical programs, leveraging internal and publicly available multi-omics datasets to elucidate mechanisms of action, support indication selection, and inform strategic decision-making across pipelines.
Responsibilities:
- Leading the development, curation, and continuous improvement of the in-house multi-omics database, integrating internal and external datasets into a scalable and well-annotated resource.
- Independently design, implement, and deliver analyses of transcriptomics datasets, using reproducible, robust and up-to-date methodologies.
- Perform integrative multi-omics analyses to further understand mechanisms of actions and support indication selection.
- Maintain and develop the internal data sharing platform using R/Shiny to enable intuitive data exploration and decision-making by the wider team.
Your Background:
- Proven experience of processing and analysing transcriptomics data.
- Experience accessing, curating, and analysing public omics datasets from resources such as GEO, ArrayExpress and SRA.
- Strong programming skills in R, with experience in RMarkdown and Shiny.
- Experience developing, optimising, and maintaining bioinformatics pipelines.
- Familiarity with Linux environments and cloud computing platforms.
It is essential that applicants hold entitlement to work in the UK. Please quote job reference in all correspondence.
Bioinformatician in Oxford employer: Talentmark
Join a dynamic and innovative Immunology biotech that prioritises employee growth and collaboration. With a strong focus on advancing autoimmune and inflammatory therapies, this company offers a supportive work culture where your contributions are valued, and you can thrive in a role that encourages independence and creativity. Located in a vibrant area, employees benefit from a well-funded environment that fosters professional development and the opportunity to work with cutting-edge data in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatician in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech field, especially those who work with immunology or bioinformatics. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects and analyses, especially those involving transcriptomics and multi-omics datasets. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics questions and case studies. Practice explaining your thought process when analysing data, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Bioinformatician in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Bioinformatician role. Highlight your experience with transcriptomics data and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how you can contribute to our team. Be sure to mention your programming skills in R and any experience with multi-omics datasets.
Showcase Your Projects:If you've worked on any relevant projects, don’t hesitate to showcase them! Whether it's a GitHub repo or a paper, we love seeing practical examples of your work and how you’ve tackled challenges in bioinformatics.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Talentmark
✨Know Your Data
Make sure you brush up on your knowledge of transcriptomics and multi-omics datasets. Be prepared to discuss specific examples of how you've processed and analysed such data in the past. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Programming Skills
Since strong programming skills in R are crucial for this role, be ready to talk about your experience with R, RMarkdown, and Shiny. You might even want to prepare a small project or example that demonstrates your coding abilities and how you've used them to solve real-world problems.
✨Understand the Company’s Focus
Research the biotech's portfolio, especially their work on autoimmune and inflammatory therapies. Being able to discuss how your skills can contribute to their therapeutic programs will make you stand out as a candidate who is genuinely interested in their mission.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with cross-functional teams, think of examples from your past experiences where you've successfully collaborated with others. Highlight your ability to communicate complex bioinformatics concepts to non-experts, as this will be key in supporting strategic decision-making.
