At a Glance
- Tasks: Drive therapeutic advancements through data insights and lead multi-omics database development.
- 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 innovative therapeutic solutions.
- Why this job: Make a real impact in biotech by leveraging cutting-edge data analysis techniques.
- 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 who have 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 the 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 187909 in all correspondence.
Bioinformatician 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 directly impact therapeutic programs. Enjoy the benefits of working in a well-funded environment that values data-driven insights and provides opportunities for professional development in a cutting-edge field.
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatician
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and bioinformatics fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving transcriptomics and multi-omics analyses. Use platforms like GitHub to share your code and methodologies. This gives potential employers a taste 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 past projects and how they relate to the role. We recommend doing mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. Make sure to reference job number 187909 when you apply, so we know you’re serious about joining the team!
We think you need these skills to ace Bioinformatician
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 programming skills in R. We want to see how your background aligns with the responsibilities listed in the job description.
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. Mention specific projects or experiences that relate to the role, especially those involving multi-omics datasets.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. If you’ve worked with R, Shiny, or any cloud computing platforms, make sure to mention these. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and submit your application!
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 ready to discuss specific examples from your past work where you've processed or analysed such data. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Programming Skills
Since strong programming skills in R are essential for this role, prepare to demonstrate your proficiency. Bring along examples of R scripts or Shiny applications you've developed. If possible, be ready to talk through your thought process when designing bioinformatics pipelines.
✨Understand the Company’s Focus
Research the biotech's portfolio, especially their autoimmune and inflammatory therapies. Being able to discuss how your skills can contribute to their therapeutic programs will impress the interviewers and show that you're genuinely interested in their work.
✨Prepare for Cross-Functional Collaboration
As you'll be working with cross-functional project teams, think of examples where you've successfully collaborated with others. Highlight your ability to communicate complex data insights clearly and how you've contributed to team decision-making in the past.
