At a Glance
- Tasks: Lead the development of innovative statistical models for drug discovery and genomic data.
- Company: Cutting-edge data science firm transforming life sciences with innovation.
- Benefits: Competitive salary, remote work, and opportunities for skill development.
- Other info: Join a dynamic team with excellent career growth opportunities and methodological breakthroughs.
- Why this job: Make a real impact in drug discovery while working with top-tier professionals.
- Qualifications: PhD or equivalent experience in statistics or related fields, with advanced coding skills.
The predicted salary is between 36000 - 60000 € per year.
Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team.
Your new role
As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will:
- Lead the development of original statistical models tailored to complex genomic data
- Guide the integration of novel methods into pipelines
- Ensure methodological transparency and reproducibility across all research outputs
- Communicate the rationale and impact of new techniques to stakeholders and collaborators both internally and at clients
- Align scientific innovation with engineering and product development goals
- Work on projects to support drug discovery & development projects for a variety of clients within the pharmaceutical and biotech space
- Represent the organisation in academic and industry forums, showcasing methodological breakthroughs
This is a permanent role that can be fully home based from anywhere in the UK.
What you\'ll need to succeed
- A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus
- A track record of developing statistical models for genomic / biological research, preferably within a target identification or target validation setting
- Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery
- Advanced coding skills in a language such as R or python and experience with statistical computing environments
- Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc
- Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP)
- The ability to communicate complex statistical ideas clearly
What you\'ll get in return
You\'ll be joining a highly experienced team doing cutting-edge work to support drug discovery & development efforts at a wide range of pharmaceutical and biotech companies. As well as lots of opportunities to develop your skills and career, this role offers a good package and the chance to make a significant impact.
What you need to do now
If you\'re interested in this role, click \'apply now\' to forward an up-to-date copy of your CV, or call us now.
If this job isn\'t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development
Lead Data Scientist - Drug Discovery in Belfast employer: Hays
This innovative data science firm is an exceptional employer, offering a dynamic work culture that fosters intellectual curiosity and cross-disciplinary collaboration. With the flexibility of a fully remote role, employees benefit from a supportive environment that prioritises professional growth and the opportunity to make a meaningful impact in the life sciences sector, particularly in drug discovery and development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - Drug Discovery in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the life sciences and data science fields. Attend relevant meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your statistical models and methodologies. Use platforms like GitHub to share your projects. This not only demonstrates your skills but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex statistical concepts in simple terms. Remember, you’ll need to convey your ideas clearly to stakeholders, so being able to articulate your thoughts is key!
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to get your CV in front of the right people. Plus, it shows you’re genuinely interested in joining our innovative team!
We think you need these skills to ace Lead Data Scientist - Drug Discovery in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in statistical methodologies and genomic data. We want to see how your background aligns with the role, so don’t be shy about showcasing your relevant skills and projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about drug discovery and how your innovative approach can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any interesting projects or published papers, make sure to mention them! We’re keen to see your track record of innovation in statistical methodology, so include links or summaries where possible.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Hays
✨Know Your Stats Inside Out
Make sure you brush up on your statistical methodologies, especially those relevant to genomics and drug discovery. Be prepared to discuss your previous work in developing statistical models and how they can be applied to the challenges the company faces.
✨Showcase Your Coding Skills
Since advanced coding skills in R or Python are crucial for this role, be ready to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice coding exercises that involve statistical computing environments.
✨Communicate Clearly
The ability to explain complex statistical ideas is key. Practice articulating your thoughts clearly and concisely, as you’ll need to communicate with both technical and non-technical stakeholders. Consider preparing examples of how you've done this in past projects.
✨Align with Their Values
This company values intellectual curiosity and collaboration, so be sure to express your enthusiasm for scientific exploration and teamwork. Share experiences where you’ve worked cross-disciplinarily or contributed to innovative projects, highlighting your passion for advancing drug discovery.
