обновлено 2 дня назад
Senior Manager, AI, and Data Engineering
139 100 - 231 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, AI, and Data Engineering (AI and healthcare data): Building AI-enabled tools, data pipelines, analytics, and machine learning solutions for Oncology R&D workflows with an accent on rapid prototyping, healthcare data, and practical decision-support systems. Focus on applying ML to structured and unstructured data, engineering feature workflows, and translating scientific, clinical, and operational needs into usable tools.
Location: New York City, United States. Permanent U.S. work authorization is required; U.S. work visa sponsorship is not available. Relocation assistance may be available based on business needs and eligibility.
Annual base salary: $139,100–$231,900, plus a 17.5% bonus target and eligibility for a share-based long-term incentive program.
Company
Oncology is building an AI-first R&D engine to support medicine discovery, development, and delivery.
What you will do
- Build and prototype AI-enabled solutions for Oncology R&D workflows and decision-making.
- Develop and maintain data pipelines, feature engineering workflows, and analytical models.
- Apply machine learning techniques to structured and unstructured healthcare data.
- Partner with scientific, clinical, operational, and product teams to translate needs into usable tools.
- Rapidly iterate on solutions, with production scaling supported by enterprise Digital teams when appropriate.
- Contribute to engineering standards, documentation, and best practices.
Requirements
- Bachelor’s degree with 6+ years of relevant experience, Master’s degree with 5+ years, or PhD with 1+ years.
- Hands-on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
- Strong programming skills and experience with modern data and machine learning tooling.
- Ability to rapidly prototype and adapt solutions based on feedback.
- Strong collaboration and communication skills.
- Permanent authorization to work in the United States by any employer; visa sponsorship is not available.
Nice to have
- Experience with research or clinical workflows.
- Background in healthcare technology companies or AI startups.
- Exposure to cloud-based data and machine learning environments.
Culture & Benefits
- Comprehensive health, prescription drug, dental, and vision coverage.
- 401(k) matching contributions and an additional retirement savings contribution.
- Paid vacation, holidays, personal days, and caregiver, parental, and medical leave.
- Participation in the Global Performance Plan and share-based long-term incentive program.
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