Computational Biology Product Manager, London

Your impact

We’re looking for a Product Manager who is passionate about the use of AI research and software development to solve complex scientific problems in the life sciences. This is a unique opportunity to apply cutting edge AI research in root-cause scientific exploration to bring huge potential impacts to the world.

Reporting to the Product Director, you will be working in a small but high performing Product team and will collaborate closely with key stakeholders from across the company.

There is some degree of flexibility around the level of seniority in these positions; this will depend on your skills and experience.

What you will do

• Develop a comprehensive product strategy and roadmap, aligning with overall company goals, partner needs and research roadmap.
• Define and prioritise features, functionalities, and enhancements based on requirements and model advancements.
• Collaborate with cross-functional teams (Computational Biology, Machine Learning, Drug Design, Engineering, Business Development) to drive the development, testing, and launch of new capabilities.
• Communicate complex technical aspects of the platform with internal and external stakeholders.
• Gather and analyse partner or scientific feedback to inform platform improvements and research direction.
• Work with the data team to identify and acquire the necessary data to drive model performance.
• Define and track key metrics to measure performance, satisfaction and business impact.

Skills and qualifications

Essential:

• Post-graduate qualifications or extensive experience working in computational biology space.
• 3+ years of experience in product management, preferably in the biotechnology or pharmaceutical industry.
• Built out scientific computational tools or platform(s) in the past.
• Experienced in common software development practices.
• Experience with experimental design, and data generation, quality control and statistical analysis.
• Familiarity with data processing pipelines and analytical tools.
• Ability to effectively communicate complex scientific concepts to a variety of audiences.
• Excellent communication, presentation, and interpersonal skills.
• Strategic thinking, problem-solving, and decision-making abilities.
• Entrepreneurial drive, with the ability to achieve ambitious goals in a fast-paced and rapidly changing environment.

Nice to have:

• Experience working with machine learning technology and teams.
• Familiarity with a variety of assaying techniques, including NGS, cell-based assays, functional genomics, single-cell techniques, and image-based assays with expertise in their respective data analysis approaches.
• Experience working with clinical data.
• Expertise in developing computational biology methods for problems relevant to drug discovery.

Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.