Senior Product Manager, AI Figure Generation
BiorenderSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, PharmaceuticalsIndustries
Requirements
- Engage directly with customers onsite up to 4-5 days per week in the Vienna region
- Advanced degree in Biological, Data, or Computer Science
- 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments
- Portfolio demonstrating end-to-end ownership of AI/ML products
- Proven track record of deploying AI models addressing real world problems
- Superior talent developing at least one of: ML-Reinforcement Learning, LLM/NLP, or Protein Design/Diffusion Models
- Preferred Qualifications
- Degree in AI or ML
- Deep understanding of hurdles facing pharmaceutical drug development
- Demonstrated ability to make productized applications (for use by more than one group)
- Excellent communication skills
- Ability to advocate and evangelize for AI initiatives internally and externally
- Experience collaborating with teams on large software projects
Responsibilities
- Designing, developing, training, and validation of AI/ML products
- Support and advise executive leadership regarding technical and commercial feasibility
- Work with commercial teams to understand the impact of AI in life-sciences
- Collaborate with cross functional teams to build products
- Lead AI project development, including ML-reinforcement learning with large continuous datasets, developing NLP tools to ingest and contextualize documents/reports, and projects involving protein design/optimization and diffusion models
- Work independently as needed to develop AI/ML applications
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for this Senior Applied AI/ML Engineer position?
This information is not specified in the job description.
Is this role remote or on-site, and what's the location?
The role is on-site in Vienna, Austria, with expectations to engage directly with customers onsite up to 4-5 days per week in the Vienna region.
What skills and experience are required for this role?
Candidates need an advanced degree in Biological, Data Science, Computer Science, or related fields, plus the ability to independently develop AI/ML applications in areas like ML-reinforcement learning with large continuous datasets, NLP tools, or protein design/optimization and diffusion models.
What is the company culture like at TetraScience?
TetraScience emphasizes alignment with 'The Tetra Way' values letter by the CEO, expects employees to embody its contents daily, fosters active team learning and knowledge sharing, and focuses on having an outsized impact in scientific AI for pharmaceutical companies.
What makes a strong candidate for this position?
Strong candidates have an advanced degree in a relevant field, can work independently to lead AI/ML project development in areas like reinforcement learning, NLP, or protein design, align with TetraScience's values in 'The Tetra Way' letter, and are ready for onsite customer engagement in Vienna.
TetraScience
Cloud platform for scientific data management
About TetraScience
TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.
Boston, MassachusettsHeadquarters
2019Year Founded
$113.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
51-200Employees
Benefits
Unlimited PTO
100% company paid health, dental, & vision
Company paid life insurance
401k savings
Company paid disability insurance
Equity program
Flexible work arrangements
Risks
Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.
Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.
International expansion may expose TetraScience to regulatory and compliance challenges.
Differentiation
TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.
The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.
TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.
Upsides
Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.
Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.
Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.
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