At a Glance
- Tasks: Join our team to apply cutting-edge computational biology methods in drug discovery.
- Company: A welcoming and inclusive company focused on growth and innovation.
- Benefits: Competitive salary, annual bonus, healthcare, hybrid work model, and pension plan.
- Other info: Dynamic environment with opportunities for creativity and professional growth.
- Why this job: Make a real impact in drug development while collaborating with diverse teams.
- Qualifications: Experience in translational biology, data analysis, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.
We are seeking a talented and motivated individual to join our team as a Principal Scientist in Translational Omics (TO). The successful candidate will have demonstrated experience in diverse data-types e.g. genetics, transcriptomics, histopathology imaging, in state‑of‑the‑art computational biology methods and its application to biological, translational and/or clinical questions in drug discovery and development. The Principal Scientist will be expected to inform genomics analysis, interpretation and project impact in Hepatology and relevant biology as well as using their knowledge of the internal and external data landscape to address scientific questions. They will be communicating their results and interpretation to peers and leaders. They will have experience working in multi‑disciplinary teams to answer complex scientific questions.
Key Accountabilities / Responsibilities
- Apply expertise in –omics and imaging and use of relevant state‑of‑the‑art computational methods as well as pertinent knowledge of disease and biology to support the discovery and development of new medicines.
- Generate and evaluate genomic/histopathology imaging evidence to support therapeutic target and/or biomarker hypotheses as well as mechanistic understanding.
- Identify and/or evaluate relevant internal and external data sets for analyses.
- Provide clear and concise communication of results and interpretation to peers and leaders.
- Collaborate effectively in multi‑disciplinary teams to answer complex scientific questions.
- Demonstrate initiative in identifying and implementing creative and state‑of‑the‑art analytical solutions to address challenging scientific questions.
- Work with agility to adapt rapidly to changing priorities and timelines.
Qualifications, Knowledge, Skills and Experience
- Demonstrable translational expertise in Hepatology and MASH, including in vitro, in vivo and in silico work, complemented by a clear understanding of clinical data and disease.
- Strong analytical competence and ability to interpret results across multiple data types.
- Experience working across academia and industry collaborations.
- Effective collaboration with Pathologists and AI‑based image analysis across platforms (PathAI, HistoIndex and PharmaNEST).
- Demonstrated experience to write R or Python code to impact analyses.
- Demonstrated understanding of internal and external data landscape to address and impact a range of scientific questions.
- Excellent communication skills to effectively convey complex scientific concepts to peers and leaders.
- Experience working in multi‑disciplinary teams to answer scientific questions.
- Proactive and innovative mindset with the ability to identify and implement creative solutions.
- Strong problem‑solving and analytical skills.
- Ability to work with agility and adapt to changing priorities and timelines.
- Passion for advancing the science of drug target identification and validation.
Computational Biologist in Stevenage employer: WISE Campaign
At our company, we foster a culture of growth and inclusivity, ensuring that every employee feels valued and empowered. As a Computational Biologist, you will benefit from a competitive salary, annual performance bonuses, and comprehensive healthcare programmes, all while enjoying the flexibility of a hybrid working model. Our commitment to employee development and collaboration in multi-disciplinary teams makes us an exceptional employer for those passionate about advancing drug discovery and development.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist in Stevenage
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in computational biology. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We love seeing how you’ve applied your skills in real-world scenarios, especially in areas like genomics and data analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in drug discovery and development.
We think you need these skills to ace Computational Biologist in Stevenage
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in computational biology methods and any relevant projects you've worked on, especially in Hepatology.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about the role and how your background aligns with our mission. Share specific examples of your work in multi-disciplinary teams and your innovative problem-solving skills.
Showcase Your Communication Skills:Since you'll be communicating complex scientific concepts, make sure to demonstrate your ability to convey information clearly in your application. Use straightforward language and avoid jargon where possible.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at WISE Campaign
✨Know Your Science
Make sure you brush up on the latest trends in computational biology, especially in translational omics and hepatology. Be ready to discuss your experience with diverse data types and how you've applied state-of-the-art methods in your previous roles.
✨Showcase Your Collaboration Skills
Since this role involves working in multi-disciplinary teams, prepare examples of how you've effectively collaborated with others, particularly with pathologists or in AI-based image analysis. Highlight any successful projects where teamwork was key to solving complex scientific questions.
✨Communicate Clearly
Practice explaining complex scientific concepts in a clear and concise manner. You might be asked to present your findings or interpretations, so think about how you can make your results accessible to both peers and leaders.
✨Be Ready for Problem-Solving
Expect questions that assess your analytical skills and problem-solving abilities. Prepare to discuss specific challenges you've faced in your work and how you approached them, especially in relation to adapting to changing priorities and timelines.
