Senior Bioinformatics Scientist

Senior Bioinformatics Scientist

Full-Time 54000 - 84000 £ / year (est.) No working from home possible
LinkedIn

At a Glance

  • Tasks: Lead genomic strategies and manage collaborations in clinical trials.
  • Company: Join a pioneering team focused on precision medicine and clinical genomics.
  • Benefits: Enjoy a dynamic work environment with opportunities for impactful research.
  • Other info: Ideal for those passionate about data-driven healthcare solutions.
  • Why this job: Shape the future of medicine while working with cutting-edge genomic technologies.
  • Qualifications: PhD in statistical genetics with 5+ years in pharma required.

The predicted salary is between 54000 - 84000 £ per year.

Now Hiring: Lead Statistical Geneticist – Clinical GenomicsWe’re looking for a highly motivated Senior Bioinformatics scientist with a strong background in statistical genetics and a passion for applying genomics to real-world clinical research.In this role, you’ll take the lead in driving whole genome sequencing (WGS) and multi-omics integration across late-stage clinical trials. You’ll work cross-functionally with clinical, regulatory, and commercial teams to ensure the right scientific questions are asked — and the right data is generated to answer them.What You’ll Do:Develop and execute genomics strategies for therapeutic programsLead external research teams and manage vendor collaborationsGuide polygenic score (PGS) development for patient stratification and selectionPresent insights to internal stakeholders, regulatory bodies, and external collaboratorsSupport regulatory filings, publications, and scientific communicationsWhat We’re Looking For:PhD in statistical genetics or related field, with 5+ years in pharmaDeep expertise in PGS methodology and clinical applicationsProven experience leading genomics projects using clinical trial dataStrong communication and stakeholder engagement skillsA track record of scientific publications and leadership in cross-functional teamsThis is a unique opportunity to lead a high-impact genomics programme and shape the future of data-driven precision medicine.Interested or know someone perfect for the role? Let’s connect.#Genomics #StatisticalGenetics #Hiring #ClinicalResearch #PrecisionMedicine #PGS #WGS #Omics

Senior Bioinformatics Scientist employer: LinkedIn

As a Senior Bioinformatics Scientist at our innovative company, you will be part of a dynamic and collaborative work culture that prioritises scientific excellence and employee growth. We offer competitive benefits, including professional development opportunities and the chance to lead groundbreaking projects in clinical genomics, all while working in a vibrant location that fosters creativity and teamwork.

LinkedIn

Contact Details:

LinkedIn Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Bioinformatics Scientist

Tip Number 1

Network with professionals in the field of bioinformatics and statistical genetics. Attend relevant conferences, webinars, or workshops to meet potential colleagues and learn about the latest trends in genomics. This can help you gain insights into the industry and may lead to referrals.

Tip Number 2

Engage with online communities and forums related to bioinformatics and clinical genomics. Platforms like LinkedIn or ResearchGate can be great for connecting with experts and staying updated on job openings and industry news.

Tip Number 3

Prepare to discuss your previous projects in detail during interviews. Be ready to explain your role, the methodologies you used, and the impact of your work on clinical outcomes. This will demonstrate your expertise and leadership capabilities.

Tip Number 4

Familiarise yourself with the latest advancements in polygenic score (PGS) methodology and its applications in clinical settings. Being knowledgeable about current research and case studies will show your passion and commitment to the field during discussions with our team.

We think you need these skills to ace Senior Bioinformatics Scientist

Statistical Genetics Expertise
Whole Genome Sequencing (WGS)
Multi-Omics Integration
Polygenic Score (PGS) Development
Clinical Trial Data Analysis
Project Leadership
Cross-Functional Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in statistical genetics and any relevant projects you've led. Emphasise your expertise in polygenic score methodology and clinical applications, as these are key for the role.

Craft a Compelling Cover Letter:In your cover letter, express your passion for applying genomics to clinical research. Discuss specific examples of how you've driven genomic strategies in previous roles and your experience with cross-functional teams.

Highlight Publications:If you have a track record of scientific publications, make sure to include them in your application. This demonstrates your expertise and commitment to advancing the field of genomics.

Showcase Communication Skills:Since strong communication and stakeholder engagement skills are essential for this role, provide examples in your application of how you've effectively communicated complex scientific concepts to diverse audiences.

How to prepare for a job interview at LinkedIn

Showcase Your Expertise

Be prepared to discuss your PhD research and how it relates to statistical genetics. Highlight specific projects where you've applied PGS methodology and clinical applications, as this will demonstrate your deep expertise in the field.

Prepare for Cross-Functional Questions

Since the role involves working with various teams, anticipate questions about your experience in cross-functional collaboration. Think of examples where you successfully led projects involving clinical, regulatory, or commercial teams.

Communicate Clearly

Strong communication skills are essential for this position. Practice explaining complex genomic concepts in simple terms, as you may need to present insights to stakeholders who may not have a technical background.

Demonstrate Leadership Experience

Be ready to share examples of how you've led genomics projects and managed external research teams. Discuss any challenges you faced and how you overcame them, showcasing your leadership abilities and problem-solving skills.