Senior Applied AI/ML Engineer
TetraScienceSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare Technology, Digital HealthIndustries
Requirements
Candidates must possess a minimum of four years of experience in a scientific, analytic, or quantitative field, with a preference for experience teaching complex concepts to customers or peers, and a minimum of five years of professional working experience, ideally in a corporate or industry environment. They should also demonstrate experience delivering learning across various modalities, such as in-person instruction, online learning, and job aids, and possess expertise with healthcare data, including standard clinical terminologies.
Responsibilities
The Senior Scientific Product Trainer will deliver high-quality, engaging live and recorded training sessions to new and existing customers, lead content design for courses and customer-facing materials, partner with Science, Product, and Technology teams to provide feedback on training materials, gain a thorough understanding of Aetion products to answer customer questions, work closely with customers to customize training content, support internal employee onboarding and learning activities, and describe complex statistical and epidemiological studies clearly and simply.
Skills
Product Training
Educational Content Development
Customer Education
Platform Utilization
Training Delivery
Aetion
Software solutions for real-world evidence analysis
About Aetion
Aetion develops software solutions that utilize real-world evidence (RWE) to assist life sciences companies, regulators, and purchasers in making informed decisions. Their software analyzes real-world data to provide insights into the effectiveness and safety of medical innovations, from initial hypotheses to long-term monitoring. Aetion's clients include major pharmaceutical companies and healthcare regulators, who benefit from the ability to generate and analyze diverse data sets for clinical insights that were previously hard to obtain. The company differentiates itself by offering a platform that not only manages longitudinal data but also generates synthetic health data using artificial intelligence. Aetion's goal is to maximize the return on investment for its clients by providing rapid insights that facilitate critical decision-making, ultimately expediting patient care and treatment options.
New York City, New YorkHeadquarters
2012Year Founded
$198MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
201-500Employees