Staff/ Principal Applied Scientist - Greater Boston Area, United States - Cohere Health

Description

Company Overview

Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient's healthcare experience, both in and out of the doctors office. Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications. To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.

Opportunity overview

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing machine learning team within the technology organization.

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Design and implement solutions to address complex business questions using statistical methods, machine learning, or other analytical methods as needed
• Apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, create intuitive simulations, data visualizations, and business narratives
• Contribute to each layer of a data solution – this role works closely with process and design engineers, business intelligence engineers, data engineers, and technical product managers to obtain relevant datasets and create models, develop and oversee scalable and reusable codebases, and review results with business leaders and stakeholders
• Contribute to and supervise performance tracking; identify improvement opportunities among junior engineers; design and implement robust testing systems to align ML output to business outcomes
• Supervise work and advise junior team members on scientific process and experimentation; contribute to multiple work streams as an expert advisor
• Your work exhibits a balance between scientific validity and business practicality

Your background and characteristics:

• Masters with significant professional experience or PhD with professional experience, in Statistics, Applied Math, Operations Research, Economics, Data Science, Engineering or a related quantitative field; or commensurate experience
• At least 5 years of experience in ML or data science, ideally in a senior or lead role in a large technology or healthcare company
• Familiarity with the processes used in healthcare systems: coding, claims submission, network management
• Demonstrated track record of driving decision making by collaborating with business functions and product to accurately determine problem statements, form falsifiable hypotheses, and apply robust experimentation and analyses to drive toward valuable and robust solutions
• Excellent written and verbal communication skills. This role requires effective communication with a diverse range of coworkers from computer science, clinical operations, and business backgrounds.
• Demonstrated track record of building, deploying, and maintaining ML solutions at scale, including robust model monitoring and business value reporting for those models.

Skills:

• Expert in Python with experience in deep learning frameworks (e.g., PyTorch)
• Hands on experience building deep learning models (e.g., transformers) for NLP and/or computer vision tasks
• Experience with AWS or other major cloud platforms
• Experience writing SQL and NoSQL scripts for analysis and reporting (Redshift, MongoDB, SQL, MySQL, Teradata)
• Experience working with unstructured healthcare data (e.g., clinical notes)
• Experience processing, filtering, analyzing, and presenting findings from large datasets (millions of records)
• Experience efficiently training and deploying large ML models (e.g., distributed training, efficient fine tuning)
• Experience in simulation management and multi-agent simulation

We can't wait to learn more about you and meet you at Cohere Health

Equal Opportunity Statement

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it's personal.

The salary range for this position is $160,000 to $200,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

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