Senior AI Product Manager â Drug Discovery ML
Senior AI Product Manager â Drug Discovery ML
Posted on :
23-05-2025
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1 Vacancy
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Job Description
About the role
At Apheris we power federated data network in life sciences to address the data bottleneck in training highly performant ML models. Publicly available molecular datasets are insufficient to train highquality ML models that meet industry requirements. Our product addresses this by hosting networks where biopharma organizations collaboratively train higher quality models on their combined data. The Apheris product is a set of drug discovery applications enriched with the proprietary data of network participants. Our federated computing infrastructure with builtin governance and privacy controls ensure that the data IP and ownership always stays with the data custodians.
As we are doubling down on structural biology and ADMET use cases as a focus area within our drug discovery work we are looking for a Senior AI Product Manager to lead the vision strategy and execution of our AI model products in these domains. This is a handson highimpact role focused on advancing the state of the art in applying foundational models to structural biology and ADMET problems. Youll work closely with our leadership team and crossfunctionally with ML engineers domain experts customers and our core product teams to build cuttingedge AI systems that translate into meaningful advances in drug discovery.
You should bring deep expertise in building AI products for drug discovery as well as an understanding of foundational models for protein structure prediction and ADMET. You must also understand the application of these models in drug discovery workflows and have a track record of setting strategy breaking down complex technical problems and delivering impactful AI products.
If you want to be part of a missiondriven team building cuttingedge AI systems for life sciences and you know what it takes to move from foundational models to domainspecific impact this role is for you.
As we are doubling down on structural biology and ADMET use cases as a focus area within our drug discovery work we are looking for a Senior AI Product Manager to lead the vision strategy and execution of our AI model products in these domains. This is a handson highimpact role focused on advancing the state of the art in applying foundational models to structural biology and ADMET problems. Youll work closely with our leadership team and crossfunctionally with ML engineers domain experts customers and our core product teams to build cuttingedge AI systems that translate into meaningful advances in drug discovery.
You should bring deep expertise in building AI products for drug discovery as well as an understanding of foundational models for protein structure prediction and ADMET. You must also understand the application of these models in drug discovery workflows and have a track record of setting strategy breaking down complex technical problems and delivering impactful AI products.
If you want to be part of a missiondriven team building cuttingedge AI systems for life sciences and you know what it takes to move from foundational models to domainspecific impact this role is for you.
What you will do
- Define thevisionproduct strategy androadmapfor our AI products indrug discovery (structurebased andligandbasedmethods)
- Own the endtoend product lifecycle from discovery through delivery and iteration
- Translate the complex needs of computational scientists drug discovery teams and R&D stakeholders into clear product requirements and usercentric features
- Collaborate withcrossfunctional teams of ML engineers software engineers data engineersanddomain experts to deliverAI products based one.g.OpenFold3anda chemistry foundation model (e.g.forADMET)
- Representour AI productsin conversationswith biopharma customers technical roadmap discussions and partner collaborations
- Workwithusers of the AI products (e.g.computational chemistsmedicinal chemistsstructural biologists) in pharmaR&Dtodeeply understand their workflows pain points and unmet needs
- Championa userfirst culture by continuously advocating for the needs workflows and goals of pharma R&D scientists
- Stay on top of AIdrivendrug discovery trends (e.g. foundation models multimodal learning graphbased representations) to inform product strategy
- Define success metrics and measure impact through scientific outcomes user adoption and model performance benchmarks
What we expect from you
- By Month 3:Develop a deep understanding of theApherisproduct the AI models in development and the scientific workflows of our pharma R&D users.Build strong relationships with internal teamsand key customers.Define initial product roadmaps for both structuralbased methodsandligandbased methods (focused onADMET)model aligned with user needs and business goals.
- By Month 6:Deliver a validated product or model iteration into production use with supporting documentation and measurable user impact.Establish structured feedback loops with pharma R&D users to inform product iteration and model development priorities.Work crossfunctionally to ensure model evaluation reproducibility and deployment pipelines are aligned with user and infrastructure needs.
- By Month 12:Own the full product strategy and execution for multiple MLpowered products in drug discovery.Demonstrate clear sustained impactof AI products onadoption and customer value across key pharma partners.Shape thestrategic planning for the AI product portfolio helping positionApherisas a leader in federated AIpowered drug discovery.
You should apply if
- You have abackgroundincomputational chemistry cheminformatics computational biology bioinformaticsor similar
- You have experience as a Product Manager within life sciences where you built AI/ML productsthatapply ML to realworld drug discovery problems
- You have a thoroughunderstanding of the pharma R&D landscape including typical workflows in areas likecomputational chemistry medicinalchemistryandgenerally AIbaseddrug discovery
- Youcantranslate complex scientific or ML concepts into intuitive product features and communicate effectively with both technical and scientific stakeholders
- You have experience working with ML engineers data scientists andbiopharmadomain experts to ship impactful productionready AI products
- You have atrack record of defining and executing product strategy in data and modelintensive environments (e.g. involving predictive models simulations orstructuredata)
- You are familiarwith technologies such as transformerbased models foundation models cheminformatics/structural biology tools or MLbased property prediction
- You have strong collaboration skills with crossfunctional teams including platform infrastructure and customerfacing roles
- You are comfortablewith ambiguous fastevolving product spaces and the ability to drive clarity and momentum from earlystage ideas
- You have auserfirst mindset with a passionfor solving realworld scientific problems with elegant practical AI solutions
Bonus points if
- You have experience building and training transformerbased models (e.g.AlphaFoldESMFoldOpenFold)or graphbased modelsusingPyTorchPyTorchLightning or similar frameworks
- You understand the data challenges of structural biology
- You understand how structural biologyand ADMETmodels are used in the drug discovery lifecycle and can align your work to practical use cases
- You have experience in federated learning privacypreserving ML or secure model training
- Youvepublished in toptier ML or biology journals/conferences (e.g.NeurIPS ICML Nature Methods Bioinformatics)
- You have experience guidingproductdirection in a fastpaced researchoriented environment
What we offer you
- Industrycompetitivecompensation incl. earlystagevirtual share options
- Remotefirst working work where you work best whether from home or a coworking space near you
- Great suite of benefitsincluding a wellbeing budget mental health benefits a workfromhome budget a coworking stipend and a learning and development budget
- Generous holiday allowance
- Quarterly All Hands meetup at our Berlin HQor a different European location
- A fundiverse team of missiondriven individuals with a drive to see AI and ML used for good
- Plenty of room to grow personally and professionally andtoshape your own role
About Apheris
Apheris powers federated life sciences data networks addressing the critical challenge of accessing proprietary data locked in silos due to IP and privacy concerns. Publicly available datasets are insufficient to train highquality ML models that meet industry requirements. Our product addresses this by enabling life sciences organizations to collaboratively train higher quality models on complementary data from multiple parties. We are now doubling down on two key areas of interest: structural biology and ADMET.
Logistics
Our interview process is split into three phases:
- Initial Screening: If your application matches our requirements we invite you to an initial video call to explore the fit. In this 3045 minutes interview you will get to know us and the role. The interviewer will be interested in your relevant experiences and skills as well as answer any question on the company and the role itself that you may have.
- Deep Dive: In this phase a domain expert from our team will assess your skills and knowledge required for the role by asking you about meaningful experiences or your solutions for specific scenarios in line with the role we are staffing.
- Final Interview: Finally we invite you for up to three hours of targeted sessions with our founders talking about our culture and meeting future coworkers on the ground.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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