Machine Learning Research Scientist

About Us

Zephyr is building an innovative AI platform to improve the way cancer, diabetes, and other chronic diseases are treated. Zephyr aggregates massive, diverse data sets and harnesses advanced technologies and AI to uncover actionable insights that will empower healthcare providers to deliver more effective, personalized care, and realize cost savings throughout the healthcare system. Zephyr is based in Tysons Corner, VA, and currently operates as a remote-first organization.

WE ARE HIRING A

SENIOR/STAFF/PRINCIPAL MACHINE LEARNING RESEARCH SCIENTIST

Zephyr AI is seeking a Machine Learning Research Scientist to join our growing multidisciplinary team and lead projects to develop foundation models for Electronic Health Records and implement state-of-the-art representation learning algorithms. You will join a small group of world-class experts to work on state-of-the-art neural networks and push the boundaries of applications of AI to life sciences. Working collaboratively with the research and engineering teams, the ideal candidate will apply their deep technical knowledge in machine learning to design, develop, invent, and implement novel models and analyses to improve patient outcomes and address critical issues in cardiometabolic disease and cancer patient care. This role requires communicating computational results and outcomes to scientists in both quantitative and non-quantitative disciplines and external collaborators. Join us!

About The Team

We are a team of scientists and engineers dedicated to creating transformative computational tools for healthcare and life sciences and focused on delivering innovative precision medicine solutions to patients with chronic diseases. Our research team builds predictive models to understand cardiometabolic disease and cancer better and to drive product development based on such insights. Our team is flat and self-organizing. We move quickly, but we do good work. We are excited to share our passion for applying innovative AI techniques to save patients' lives with you and for your perspective to help shape our team's goals.

Essential Functions And Responsibilities

• Lead applied research to advance foundation models for electronic medical records and patient representations.
• Develop and implement algorithms and models to analyze large-scale healthcare data sets, including unstructured notes, electronic health records, claims data, and other patient-level data.
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Can identify and define both short & medium term objectives.
• Work closely with engineers and scientists to translate models and algorithms into production applications.
• Communicate clearly and effectively in verbal, visual, and written form to stakeholders with varying levels of technical knowledge.
• Write analytical and technical documentation and supporting research materials.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Skills To Be Successful In The Role

• A PhD degree in AI, machine learning, computer science, statistics, applied mathematics, data science or a related technical field.
• Experience holding a faculty or industry researcher position
• A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.)
• Strong “under the hood” knowledge of deep learning: layer details, loss functions, optimization, various architectures (Autoencoders, Transformers, etc.).
• Advanced expertise in Python and any of the common ML frameworks (PyTorch, Tensorflow, JAX).
• Familiarity with cloud based infrastructure (preferably AWS but Azure or GCP are good too).
• Strong analytical and problem-solving skills to effectively evaluate information/data to make decisions; anticipate obstacles and develop plans to resolve.
• Experience communicating research for public audiences of peers.

You will be a step ahead if you have

• Experience leading a team in solving modeling problems using AI/ML approaches.
• Experience with delivering machine learning models to production (including logging, monitoring metrics, etc.).
• Experience in manipulating and utilizing large, longitudinal data sources, such as Electronic Health Records, Medical Claims, and other patient-level data sets.
• Familiarity with pharmaceutical or biotech industry and meeting regulatory requirements.

What We Offer

This is a full-time, exempt, position, reporting to the EVP of Science and Technology. This position is remote and requires the ability to work cross functionally within the organization.

We offer competitive compensation as well as a comprehensive benefits package including:

• United Healthcare PPO, HMO, and HDHP plans > 100% company paid for you + family
• Dental (including orthodontic coverage) > 4 carriers, 100% company paid for you + family
• Vision > 2 carriers, 100% company paid for you + family
• Health Savings Account ( HSA) + Flexible Spending Account (FSA)
• Basic Life and AD&D Insurance > 100% company paid
• Voluntary benefits: short term and long term disability, supplemental AD&D, supplemental life, pet insurance
• Paid maternity and paternity leave
• Unlimited paid time off
• 15 Paid holidays
• 401(k) program
• Work from home + cell phone/internet reimbursement
• Unlimited 1:1 tax advisory sessions with our equity management team
• Employee referral bonus
• Employee assistance program (EAP)
• Opportunities for advancement

We are an equal opportunity employer

Zephyr AI provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Zephyr AI complies with applicable state and local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.