ML Platform Team Lead

Onc.AI

Canada / Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Health Technology & Services
  • Post Date: 04/03/2024
  • Website: www.onc.ai
  • Company Address: 232 Windsor Drive, San Carlos, CA, 94070

About Onc.AI

AI-powered technology to bring clarity to cancer treatment decisions.

Job Description

Seeing Through Cancer
 
Join our rapidly growing and diverse team at Onc.AI, as we use AI and machine learning to address cancer care's biggest challenges. Our precision oncology treatment guidance platform aims to revolutionize clinical decision making.
 

Onc.AI
is a privately held digital health company developing a precision oncology point-of-care clinical management tool that focuses on transforming clinical decision making. Premier investment firms back Onc.AI:  MassMutual Alternative Investments, Action Potential Venture Capital, The Blue Venture Fund, Accomplice, KdT Ventures, and Digitalis Ventures, as well as prominent individual investors who are leaders in the Enterprise SaaS, AI/drug-discovery, precision/medical oncology, and radiology fields.  
Our Data Engineers develop software infrastructure to extract, transform and store data. You will design and manage the data ingest pipeline, from raw extraction to dataset packaging, including data quality. The Software Engineer on the Data Infrastructure team will work with cloud databases and storage platforms for building data warehouses, and develop processes to generate clean, curated data, ready for machine learning development.


Roles and Responsibilities

  • Impact clinical care in oncology by designing, building and deploying robust machine learning solutions
  • Own software engineering projects as a part of our ML Platform team
  • Work effectively as a part of our R&D team and with our product team to help define and implement an ML strategy, roadmap, and clinical/industrial products
  • Design, develop and maintain software in conformance with medical device standards, industry best practices and internal coding standards
  • Develop expertise in medical imaging (CT, PET, MRI) and medical data and their use in cancer diagnosis and treatment


Qualifications

  • BA/BS in Computer Science, Engineering, Mathematics, Physics or similar field
  • Strong software development and design skills, including experience with code review and software unit testing
  • Proficiency in Python or another OOP language
  • 5+ years experience in industry


Nice to Have's

  • Expertise using deep-learning frameworks, e.g., TensorFlow, PyTorch, etc, and a background in machine learning or computer vision
  • Experience in data engineering or building scalable cloud systems
  • Experience working with medical imaging or in a medical domain is a plus
  • Experience and/or interest in leading engineering teams


Are you ready to join a team of driven, innovative thinkers at the forefront of using AI and machine learning to overcome cancer care's toughest hurdles? At Onc.AI, we offer a dynamic and supportive work environment with a host of benefits and perks including:

  • A competitive compensation package and benefits, including stock options and flexible vacation policy, as well as generous parental leave.
  • Comprehensive healthcare, dental, and vision plans, as well as 401k, health, and dependent care FSA for US-based employees.
  • A strong commitment to building community through virtual and occasional in-person social gatherings.


Don't see a role that's a perfect fit for you or think you don't meet all the qualifications listed? That's okay! We're always looking for passionate individuals to join our team. Reach out and let us know what excites you about joining Onc.AI.


Diversity is a core value at Onc.AI and we are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.