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- Tasks: Lead a team of data scientists to innovate in multiomics technology.
- Company: Join Biomodal, a pioneering life sciences company revolutionising personalised medicine.
- Benefits: Enjoy flexible working, health insurance, and a generous pension contribution.
- Why this job: Make a real impact in a high-growth biotech venture at the forefront of science.
- Qualifications: PhD or equivalent experience in bioinformatics with leadership skills required.
- Other info: Be part of an exciting journey in a rapidly evolving company.
The predicted salary is between 54000 - 84000 £ per year.
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About Biomodal
Join the multiomic revolution! Over the last 20 years, genomic technologies have enabled significant discoveries that bring the promise of personalised medicine closer than ever before. But after two decades of research, it's clear that genetic variation only tells part of the story – biology is dynamic and more complex than A, C, T, G. Already, the added information from a multiomic view of biology is yielding important insights into cancer, ageing, and neurological disease, and is poised to revolutionise how we understand health and disease beyond canonical variation in DNA.
biomodal is an omics-based life sciences technology and analytics company, delivering products that bring the dynamism of our ever-changing biology into focus. Our team is dedicated to developing the most advanced solutions to interrogate and understand the complex interplay of genomics and epigenomics.
We have launched our first products, the duet +modC and duet evoC solutions, with more in the pipeline, and are looking to grow and evolve our business accordingly. This is an incredible opportunity to step into an exciting, early-stage company at the cutting edge of science with exceptional growth and market impact potential.
Multiomics is the future – come and join the biomodal team!
Your chance to lead a functional group in an exciting high growth biotechnology venture and make a real impact!
The Team
Our technology provides our customers with novel multi-modal information that will enable new scientific discoveries. Within the Computational Technology Department, Data Scientists are responsible for demonstrating the utility of our technology. They do this through the development of new methods to extract insights from the technology's output, and through collaboration with our customers to generate new scientific discoveries when they use the technology on their sample sets.
This is an exciting time for biomodal and we are looking to amplify our commercial activity and footprint into the future. World-leading researchers are working with us to demonstrate the utility of our current products and crystallise requirements for future products. We are rapidly expanding and evolving our workforce to support our early access customers and are preparing for broader customer adoption and new collaborations.
The Role
We are looking for an experienced bioinformatician / computational biologist, with prior experience leading a team, to head our Data Science group at biomodal (reporting to the VP of Computational Technology). This is a rare opportunity to lead a function that will really shape biomodal's product offerings and be at the interface with our early adopting customers. The individual will be responsible for building, developing, and managing the team as well as being hands-on and supporting key projects.
Key Responsibilities
- Identify opportunities for innovative applications that leverage unique characteristics of our technologies and develop a roadmap to deliver new computational analysis methods to our customers
- Collaborate with external partners to test the technology in their use cases and drive the collaborative work towards scientific publication
- Design experiments to understand the utility of our technology in various aspects
- Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays and bioinformatics pipelines
- Interact with biomodal's customers to support their use of our technology to deliver on their research questions and to support ongoing product adoption
- Respond to market and customer intelligence to rapidly prototype product and platform extensions and work with biomodal's development teams to transfer promising concepts into biomodal's portfolio.
The Person
The ideal candidate will be an experienced computational biologist with a demonstrable background leading or managing individuals, whilst still being technically credible and hands-on. We want someone who sees the opportunity implicit in this role, which is the chance to build something new and impactful in a company in its hyper-growth phase.
Essential Skills
- A demonstrable track record of leading a team delivering complex computational biology projects or products to customers
- Experience working collaboratively across organisations (e.g., industrial-academic collaborations, academic consortia, or cross-company collaboration) with demonstrable outcomes (publications or further funded work, etc.)
- PhD or equivalent experience in a biological subject area, with a strong focus on informatics and data analysis
- Detailed understanding of methods used in genomic data science, including experimental design, QC, and common analysis methods such as variant calling, QTL mapping, GWAS/EWAS
- Enjoy working in a fast-moving, results-oriented business where delivery against deadlines is critical
- Experience with applications of machine learning in genomics and computational biology
- Ability to communicate complex topics effectively to diverse audiences
- Experience with at least one programming language used in data science (Python, R, Julia)
Nice to Haves
- Experience in preparing and defending scientific publications as first or corresponding author
- Expertise in software development best practices (version control, code review, agile, testing, etc.)
- Experience deploying systems on cloud platforms (GCP, AWS)
- Experience with genomic workflow platforms (DNANexus, NextFlow)
This is an ideal opportunity for an experienced bioinformatics / computational biology leader to take the reins of a high-impact team in a business at an exciting stage of its evolution.
Benefits
- Annual bonus scheme
- Health and Life Insurance
- Flexible/hybrid working conditions
- Enhanced annual leave
- Enhanced parental leave
- 10% pension contribution
Seniority level
- Director
Employment type
- Full-time
Job function
- Engineering and Information Technology
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London, England, United Kingdom 2 weeks ago
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Head of Data Science (London) employer: biomodal
Contact Detail:
biomodal Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science (London)
✨Tip Number 1
Network with professionals in the biotechnology and data science fields. Attend relevant conferences, webinars, or meetups to connect with individuals who may have insights into biomodal or similar companies. Building these relationships can lead to valuable referrals.
✨Tip Number 2
Familiarise yourself with the latest trends in multiomics and computational biology. Stay updated on recent publications and breakthroughs in the field, as this knowledge will not only enhance your understanding but also demonstrate your passion and commitment during interviews.
✨Tip Number 3
Prepare to discuss your leadership experience in detail. Think of specific examples where you successfully led a team through complex projects, particularly in computational biology. Highlight how your leadership contributed to innovative outcomes or scientific publications.
✨Tip Number 4
Showcase your technical skills by being ready to discuss your experience with programming languages and data analysis methods. Be prepared to explain how you've applied machine learning techniques in genomics, as this is crucial for the role at biomodal.
We think you need these skills to ace Head of Data Science (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology and team leadership. Use specific examples that demonstrate your ability to deliver complex projects and collaborate across organisations.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at biomodal and explain how your background aligns with their mission. Mention your experience with genomic data science and any innovative applications you've developed.
Showcase Technical Skills: Clearly outline your technical skills, especially in programming languages like Python or R, and your experience with machine learning in genomics. Provide examples of how you've applied these skills in previous roles.
Highlight Collaborative Experience: Emphasise your experience working collaboratively with external partners and your contributions to scientific publications. This will demonstrate your ability to drive collaborative work towards impactful outcomes.
How to prepare for a job interview at biomodal
✨Showcase Your Leadership Experience
As a candidate for the Head of Data Science role, it's crucial to highlight your experience in leading teams. Prepare specific examples of how you've successfully managed projects and guided team members, especially in complex computational biology contexts.
✨Demonstrate Technical Credibility
While leadership is key, you also need to show that you're hands-on and technically proficient. Be ready to discuss your experience with genomic data science methods, programming languages like Python or R, and any relevant machine learning applications you've worked on.
✨Prepare for Collaborative Scenarios
Collaboration is a big part of this role. Think of instances where you've worked with external partners or across organisations. Be prepared to discuss how these collaborations led to successful outcomes, such as publications or new product developments.
✨Understand Biomodal's Vision
Familiarise yourself with Biomodal's products and their impact on personalised medicine. During the interview, express your enthusiasm for their mission and how your skills can contribute to their growth and innovation in the multiomics space.
