Senior Staff AI Researcher (Permanent Remote, US)

Key Skills

AI technology, Apache Airflow, AWS Aurora, Databricks, Natural Language Processing (NLP), Optimization, PostgreSQL, Python Programming, R Programming, Snowflake, SPARK Programming, SQL, Statistical modeling

Job Description

As Senior Staff AI Researcher, you will develop step-change AI techniques that save lives. You will have the opportunity to improve millions of people's mental and physical health. That's what we do here at Aledade, empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations. As a Senior Staff AI Researcher, you will lead teams of engineers to develop ways to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. In this process, you will improve the efficacy of patient identification and delivery methods.

At Aledade, you will sit at the intersection of:

A huge problem; amounting to trillions of dollars of waste in U.S. Healthcare spending.

An approach that moves the needle; In the U.S., we wait until someone has a stroke, then are hospitalized. From there, no expense is spared. Using technology, Aledade changes that by enabling doctors to intervene with the proper preventive care, like blood pressure control, before it becomes a stroke.

A platform that works at scale; last year 11,000 physicians across 36 states served ~1.7M patients, saving 24,000 unnecessary hospitalizations and 120,000 visits to the emergency room using Aledade’s technology.

But the journey is only 1% done, come join us to build a world-class team that will not quit till it addresses the trillions of dollars of suffering in U.S. healthcare spending.

Technologies we use:

PostgreSQL / Amazon Aurora, Snowflake, Python, Airflow, Spark, DataBricks, R, and various ML frameworks

Responsibilities:

• Design multi-year vision, shaping the direction of some of our crucial data science areas - intervention identification, attribution prediction, and patient ranking and relevance, 
• Re-design systems to improve the relevance and drive business outcomes by making large, complex data sets more accessible. 
• Build and prototype techniques using off-the-shelf and novel AI techniques to deliver higher optimization levels. 
• Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
• Balance speed and scalability, dealing with millions of records per client and pesky data integration and data quality issues while optimizing for time to market.
• Maintain the security of protected patient health information.

As the engineering team grows, you will lift the people around you:

• Mentoring and galvanizing new engineers to do their best work.
• Working across disciplines to shape a product strategy and execution.

Qualifications:

• Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
• 7+ years of relevant work experience, including expertise with statistical data techniques (such as causal inference, syntactic analysis, sampling methods, NLP etc.), with experience in addressing challenges from incomplete, unrepresentative, and mislabeled data.
• Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark, SQL, Python, R, etc.)
• Demonstrated leadership and self-direction. 
• 4+ years of demonstrated proficiency in selecting the right tools given a data optimization problem. 
• Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training
• Experience with security and systems that handle sensitive data

Bonus

• First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, ACL, JSM, KDD, EMNLP) 
• Winners in ACM-ICPC, NOI/IOI, Kaggle
• Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.

That’s because the things that matter to you also matter to us!

• In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the needs of our full-time team-members:
• Flexible work schedules and ability to work remotely available for many roles
• Educational Assistant Program
• Robust time off plan (21 days of PTO in your first year!)
• Paid Volunteer Days
• 11 paid holidays
• 12 weeks paid Parental Leave for all new parents
• 6 weeks paid sabbatical
• Health, dental and vision insurance paid up to 80% for employees, dependents, and domestic partners
• 401(k) with up to 4% match
• Stock options
• Monthly cell phone stipend 
• Jeans everyday workplace
• Gender neutral bathrooms 
• And more!