Technical Product Manager
vor 1 Woche
at Isomorphic Labs
Lausanne
**Product Manager (Data & ML), London or Lausanne**:
This is an extraordinary opportunity to join a new Alphabet company that will reimagine drug discovery through a computational
- and AI-first approach.
We are assembling a world-class, multi-disciplinary team who want to drive forward groundbreaking innovations. As one of the first members of this pioneering organisation, you will play a meaningful role in building this team, embodying an inspiring, collaborative and entrepreneurial culture.
This early-stage venture is 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’ and advancing a new type of biotech that will deliver transformative social impact for the benefit of millions of people.
**Your impact**:
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**:
**Product Vision**
- Drive the creation of a data strategy incorporating the needs of platform users and the rapidly advancing research
- Define the datasets and the process to ingest, process and analyse data at scale to ensure models have the information they need to build rich representations of biological systems
- Partner with internal and external stakeholders to understand requirements and build an expert understanding of users and state of the art ML models
- Work with ML researchers to bring open-ended learning paradigms into drug design and establish real-world feedback mechanisms to enable active learning
- Work entrepreneurially alongside outstanding AI researchers, scientists and engineers to identify new product opportunities, that are aligned with the company’s research and applied goals around reimagining drug discovery
- Incubate and launch new platform capabilities in close collaboration with users and the engineering team
- Understand the needs of IsoLabs' ML scientists and work with them to define a research platform roadmap that will accelerate breakthroughs and enable experimentation at scale
**Product Delivery**
- Partner with chemists/biologists and ML researchers to identify the data they need and define a data regime that is effective across multiple use-cases
- Perform data analysis with experts to uncover data quality issues and build long term frameworks to guard against this
- Work closely with users to integrate their feedback into product requirements, driving prioritisation and building out the product with the technical teams
- Partner with tech ops to provide a robust, scalable and extensible foundation for the platform
- Ensure focus on product milestones of cross-functional teams of technical, scientific and business stakeholders
- Support product related communications across teams, partners and stakeholders
- Support the product lead to rigorously and transparently prioritise while balancing the needs of users and stakeholders
**Skills and qualifications**:
**Essential**:
- Product management experience including driving early stage product vision and cross-functional projects with advanced ML teams
- Familiarity with data lakes, ML platforms, feature stores and microservice architecture
- Passionate about using data and ML to solve impactful problems
- Familiarity with software architecture in a cloud environment
- Ability to engage and contribute in technical discussions with engineers, researchers, partners and stakeholders
- Comfortable with ambiguity and rapid change, knowing when to leverage data and insights to make decisions
- Experience in iterative testing and building the product together with users
**Nice to have**:
- Demonstrated success in delivering high quality research impact
- Experience of modern machine learning and AI methods
- Experience presenting and influencing at executive level
- Experience with forcefield creation
- Experience using the latest ML methods
- Familiarity with AlphaFold
- Experience running jobs on Cloud-based infrastructure at scale
**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 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). 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.
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