Computational Biology Product Manager
London
Isomorphic Labs
We’re a digital biology company here to redefine drug discovery with the power of artificial intelligence. We're glad you're here, let's get to workAbout Us
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
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.
Culture and values
What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:
Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.
Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.
Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.
Creating an inclusive company
We realise that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Hybrid working
It’s hugely important for us to be able to share knowledge and establish relationships with each other, and we find it easier to do this if we spend time together in person. This is why we’ve decided to follow a hybrid model, and for full time positions we would require you to be able to come into the office 3 days a week (currently Tue, Wed, and one other day depending on which team you’re in). For part time positions this may vary. As an equal opportunities employer we are committed to building an equal and inclusive team. 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.
Please note that when you submit an application, your data will be processed in line with our privacy policy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Data analysis Drug discovery Engineering Machine Learning Pharma Pipelines Privacy Research Statistics Testing
Perks/benefits: Career development
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