Principal Data Scientist

We are on a mission to improve cancer care for patients.  To this aim we are developing a truly personalized cancer intelligence platform for the “N of 1” to empower oncologists. In addition, we bring the patient voice to the physician by allowing patients to report symptoms, side effects, and disease progression information via our mobile app, enabling real-time symptom management.  
The Data Science team is a multi-displinary team helping Project Rōnin realize its goal of improving cancer patient outcomes across cancer types and across the course of treatment via cutting-edge AI, data science, and machine learning. We're looking for candidates who can develop machine learning models using large clinical datasets, translate those models into production, and help implement those models in our physician and patient software.  
As one of the members of the machine learning core of the data science team, you will have a unique opportunity to help build our machine learning functionality from the ground up and drive innovation. You can make a positive impact in a field that has touched the lives of almost everyone in the world.

• Join our multidisciplinary data science team in the creation of machine learning tools that provide individualized predictions of clinical outcomes and toxicities.
• Build, deploy, and improve robust machine learning models for patient and physician-facing product features in collaboration with our clinical intelligence, engineering, product and design teams.
• Build clinical decision support for physicians and patients to facilitate shared decision-making.
• Advance the state-of-the-art in machine learning applied to oncology, with practical differentiating applications into our product.
• Provide machine learning methodology technical leadership. 
• Analyze complex medical datasets to derive insights that can be used to improve our product and ultimately improve cancer outcomes.

About You:

• MS/Ph.D.  Data Science, Machine Learning, Statistics, Computer Science, Applied Math, biomedical engineering or equivalent highly technical field with 5+ years experience.
• Experience building production machine learning models and systems.
• Expertise with the full lifecycle of machine learning algorithms in production, including research, deployment, improvements, and maintenance.
• Extensive experience in deep learning, recommender systems, and machine learning at scale. 
• Experience leading cross-functional teams on strategic machine learning product initiatives from conception to successful product outcomes.
• In-depth experience with at least one machine learning framework (such as TensorFlow, PyTorch, Scikit-Learn etc.)
• Exposure to applications of machine learning in healthcare and industry experience with cross-functional collaboration.

What We Offer:
- We’re a remote-first company within the United States- Competitive salary and equity, based on experience - 401k through Guideline- Medical, dental, and vision 100% covered for employees and 70% for dependents - 100% covered life insurance for employees - Parental Leave- Flexible vacation: we encourage everyone to take at least 15 days off per year- 11 paid company holidays plus a week off during the winter holidays - All the stipends! Learning & development, internet, cell phone, and team lunches- Opportunity to work on impactful products in the complex cancer space
Project Rōnin is filling one of the greatest gaps in patient care to date. Our mission is to increase the length and quality of every persons’ life who has been affected by cancer. 
This year alone there will be nearly 1.8 million new cancer diagnoses, and the tools oncologists are using haven’t been updated in 20 years. With our platform, communication between patients and their doctors is optimized through an individual care platform that is already having an immediate impact. 
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Avoid the confidence gap. If some of the above describes you, we’d love to chat and see where your skills can add to our team.
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
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