At a Glance
- Tasks: Analyse complex biological data and support drug discovery through innovative analytical workflows.
- Company: Join a leading global pharmaceutical organisation with a focus on collaboration and innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic lab environment with opportunities to develop new analytical capabilities.
- Why this job: Make a real impact in drug discovery while working with cutting-edge technology and talented scientists.
- Qualifications: PhD in Bioinformatics or 3+ years of relevant experience; proficiency in Python, R, or MATLAB.
The predicted salary is between 40000 - 55000 £ per year.
We are working in partnership with a global pharmaceutical organisation to recruit a Bioinformatics Scientist to join our clients In Vitro Pharmacology (IVP) team supporting drug discovery programmes through the analysis and interpretation of complex biological and screening data. This hybrid role combines computational data analysis with hands-on laboratory collaboration to support the identification and optimisation of novel therapeutic molecules.
Working closely with scientists across the department, you will develop and apply analytical workflows and automated data analysis tools to support high-throughput screening activities and large-scale assay datasets. The role will also contribute to the implementation and optimisation of new analytical capabilities and workflows within the IVP function. Alongside the computational work, the position includes partial lab-based responsibilities supporting routine screening assays and translational research activities.
Key Responsibilities- Analyse and interpret complex biological and high-throughput screening datasets
- Develop and optimise analytical workflows and automated data analysis tools
- Contribute to optimisation of screening platforms through data-driven insights
- Support laboratory-based screening activities including tissue culture and cell-based assays
- Work with platforms such as flow cytometry, reporter assays and high-content imaging
- Maintain accurate records of analyses, experiments and workflows
- PhD with a strong focus on Bioinformatics or a related discipline, or 3+ years’ relevant industry experience
- Proficiency in Python, R or MATLAB
- Experience working with complex assay or screening datasets
- Understanding of biological assay analysis and data interpretation
- Strong communication and collaboration skills
- Prior laboratory experience is desirable but not essential
Bioinformatics Research Scientist in Slough employer: VRS Recruitment
As a Bioinformatics Research Scientist with our esteemed global pharmaceutical partner, you will thrive in a dynamic and collaborative work environment that champions innovation and scientific excellence. The company offers a robust benefits package, opportunities for professional development, and a culture that values teamwork and creativity, all set in the vibrant region of Slough, which boasts excellent transport links and a diverse community. Join us to make a meaningful impact in drug discovery while advancing your career in a supportive and forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatics Research Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or MATLAB. We love seeing practical examples of your work, and it gives you an edge over other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of high-throughput screening and biological data analysis. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Bioinformatics Research Scientist in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Bioinformatics Research Scientist role. Highlight your proficiency in Python, R, or MATLAB, and any relevant lab experience you have.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about bioinformatics and how your background aligns with our drug discovery programmes. Be specific about your experience with complex datasets and analytical workflows.
Showcase Collaboration Skills:Since this role involves working closely with other scientists, emphasise your teamwork and communication skills. Share examples of past collaborations that led to successful outcomes in research or projects.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at VRS Recruitment
✨Know Your Data
Make sure you brush up on your knowledge of complex biological and screening datasets. Be prepared to discuss how you've analysed and interpreted such data in the past, and think about specific examples where your insights led to significant outcomes.
✨Show Off Your Coding Skills
Since proficiency in Python, R, or MATLAB is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing code that relates to bioinformatics workflows or data analysis.
✨Collaboration is Key
This role involves working closely with other scientists, so highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated on projects, especially in a lab setting or during data-driven research.
✨Get Hands-On Experience
Even if prior lab experience isn't essential, showing enthusiasm for hands-on work can set you apart. If you've done any lab-based activities, be sure to mention them, and express your eagerness to support routine screening assays and translational research.
