The Company

AcuityMD is a rapidly growing enterprise software company serving the unique needs of the Medical Device industry. AcuityMD uses data and software to help Medical Device sales, marketing, medical education, and product development teams collaborate around the complex relationships these companies have with the users of their products: doctors.

We're backed by Benchmark, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, the platform is already being used by several publicly-traded enterprises, innovative growth-stage companies, and regional medical device distributors.

The Team

We're a small team of builders, bringing together experience from leading software, medical device, and strategy firms. Our team values working together to solve hard problems, fostering an active culture of mentorship and inclusion, and pushing ourselves to learn new things daily. We are customer-focused and forward-thinking. Our technology spans the web, mobile, API, big data, machine learning, and search.

The Opportunity

Every role at an early stage company is going to have a profound impact on the team, culture, product, and infrastructure for years to come. We're looking for people who are hungry to leave their mark and build something special.

Interested? Drop us a line.

The Role

AcuityMD is seeking a Machine Learning Engineer to build software that changes how the Medical Device industry markets and sells their products. We're looking for a world-class machine learning engineer who has a passion for building scalable machine solutions using technologies such as Python, Spark, Beam, GCP, Airflow, and Tensorflow.

What you'll be doing

• Design, develop and deploy large scale, big data-driven machine learning models that are integrated with key product features. Some examples of potential projects include:
  • Our Entity Resolution models combine and deduplicate large healthcare data sets
  • An extrapolation model to estimate US procedural volume across payers
  • Search relevancy engine that recommends targets and strategies to customers based on internal, external data, and user behavior
  • Multivariate testing framework that empirically evaluates the efficacy of product enhancements as quickly as possible.
• Collaborate with Engineering, Product, and Analytics leads to establish analytic standards and platforms that scale and can be leveraged in various initiatives throughout the organization

Communicate complex machine learning solutions, concepts and the results of analyses in a clear and effective manner to business stakeholders and technology leaders to maximize the effectiveness of machine learning initiatives

What we're looking for:

• 5+ years of experience as a Data Scientist, ML engineer, or other analytical role working in healthcare data sets (e.g., claims)