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- Tasks: Drive innovation in protein engineering using advanced computational techniques and ML models.
- Company: Join an early-stage, innovative Biotech revolutionizing biological data with AI.
- Benefits: Work on exciting commercial projects with a focus on product development.
- Why this job: Be part of a cutting-edge team making a real impact in biotech.
- Qualifications: PhD/MSc in relevant fields and 3+ years of industry experience required.
- Other info: Python coding skills and a passion for fast-paced environments are essential.
The predicted salary is between 48000 - 84000 £ per year.
My client is an early-stage, innovative Biotech aiming to use advanced AI models, including language and diffusion models, to revolutionize biological sequence data and complex protein design. They need a highly motivated Bioinformatician with 3+ years of industry experience and a background in protein engineering to advance their platform and further develop their pipelines. You will interact with internal and external stakeholders and this role will have a large element of commercial projects/product development. Key Responsibilities Drive innovation in the application of computational techniques to protein engineering Develop new computational techniques and ML models Improving protein engineering processes Develop bioinformatics pipelines Participate in group and project meetings, offering insights and expertise on technical elements to advance research projects Maintain and implement good code, version control, and organisation of data Experience / Skills needed: PhD / MSc in Biology, Bioinformatics, Computer Science or related subject 3+ yrs industry experience with a passion for challenging work in a fast-moving environment Interest in computational techniques for protein engineering Python coding skills and pipeline development with experience in increasing scalability and efficiency
Senior Bioinformatician employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Bioinformatician
✨Tip Number 1
Make sure to showcase your experience with computational techniques in protein engineering during networking events or informal meetups. Engaging with professionals in the biotech field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest advancements in AI models and their applications in bioinformatics. Being knowledgeable about current trends will not only enhance your discussions with stakeholders but also demonstrate your commitment to innovation in the field.
✨Tip Number 3
Participate in online forums or communities focused on bioinformatics and protein engineering. Sharing your expertise and learning from others can help you build a strong professional network that may lead to job opportunities.
✨Tip Number 4
Consider contributing to open-source projects related to bioinformatics or machine learning. This not only enhances your coding skills but also showcases your ability to collaborate on complex projects, making you a more attractive candidate.
We think you need these skills to ace Senior Bioinformatician
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 3+ years of industry experience in bioinformatics and protein engineering. Provide specific examples of projects you've worked on that demonstrate your skills and contributions.
Showcase Technical Skills: Clearly outline your proficiency in Python coding and pipeline development. Mention any computational techniques or ML models you have developed, as well as your experience with version control and data organization.
Express Your Passion: Convey your enthusiasm for working in a fast-moving environment and your interest in advancing computational techniques for protein engineering. This can set you apart from other candidates.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing to demonstrate that you understand the role and its requirements, making it easier for the hiring team to see your fit.
How to prepare for a job interview at Hlx Life Sciences
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python coding and bioinformatics pipelines. Highlight specific projects where you developed computational techniques or ML models, and be ready to explain how you improved scalability and efficiency.
✨Demonstrate Your Passion for Innovation
Since the company is focused on revolutionizing biological sequence data, share examples of how you've driven innovation in your previous roles. Discuss any unique approaches you've taken in protein engineering or computational techniques.
✨Engage with Stakeholders
This role involves interaction with both internal and external stakeholders. Prepare to discuss how you've effectively communicated technical concepts to non-technical audiences and collaborated on commercial projects or product development.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities in a fast-moving environment. Think of scenarios where you faced challenges in bioinformatics or protein engineering and how you overcame them, emphasizing your analytical skills and adaptability.
