Measure what matters.
Nell and Dan founded Folia Health because it has been simply too hard for their family members to receive personalized, data-driven healthcare that directly addresses the issues they're dealing with. People around the country and now the world, including our own team members and families, use Folia to track what they're experiencing - fatigue, symptom flares, pain - alongside what they're currently doing for treatment, and then use this information to understand the best way forward. Most Folia users also receive Data Dividends to share their data as part of our Research Programs, the business model that keeps Folia humming along.
Along the journey of building Folia, we've developed and validated a new type of health data - home-reported outcomes (or HROs). HROs allow people dealing with complex conditions to digitize their vast personal health knowledge, with simple responses to a personalized set of multiple-choice questions whenever they're experiencing a change in their health. HROs are actually now a valued part of the research methods that leading life sciences companies use to understand how their therapies are impacting people in the real world.
Folia (‘foglia’ is leaf in Italian) was named for the power of the individual contributions of people tracking their own health experiences. Each individual contributor is a leaf on the tree, performing important tasks to enable the whole (healthcare) tree to grow and become stronger - ultimately benefitting the leaf itself. (Yes we may have taken the metaphor too far...)
We are:
Female-founded and led by parents and family caregivers
Stubbornly focused on making healthcare make sense
9 years in business
Backed by top venture funds with a strong financial runway
Made possible by our fast-growing user community with thousands of users in rare conditions
Folia Health is seeking a talented and mission-driven Data Scientist to join our growing team. This role is perfect for someone who has experience using data to answer complex health-related questions, loves finding creative ways to pull meaningful insights out of data using machine learning and other techniques, and is excited to work in a dynamic startup environment.
In this role, you will be responsible for planning and conducting a wide range of analyses of our multidimensional data set in order to meet customer needs, uncover patterns in our data, and help expand the insights we are able to provide to customers and users.
What you’ll do:
- Structure and execute both recurring and stand-alone analyses of our complex data set, with a high level of efficiency and attention to detail.
- Develop a deep understanding of our data; continually develop and implement new approaches to work towards a fuller understanding of our collected data in service of Folia’s mission.
- Expand our suite of Data Science tools, including identifying new opportunities to leverage Machine Learning techniques.
- Partner closely with the Engineering, Research, and Product teams to identify opportunities to further evolve both our user platform and research product.
- Interpret and communicate findings to customers and other collaborators
- Maintain the highest standards of accuracy and compliance with data privacy and security requirements
- Contribute to a positive and supportive culture through collaboration, documentation, and knowledge sharing
You are:
- Someone with 1-2 years experience working as a data scientist in the health tech or healthcare space
- Motivated by making healthcare easier for people living with complex conditions
- A person with high-level oral and written communication skills who is able to facilitate problem-solving conversations across technical as well as non-technical teams
- Able to code accurately and efficiently in R. Familiarity with RShiny/SQL/Python is a plus.
- Comfortable with git/version control and accustomed to collaborating on code with other Data Scientists in a professional environment
- Someone who has a proven track record of addressing business questions through data analysis
- Curious to acquire a strong knowledge of our unique home-reported data sources and actively contribute to the evolution of our data interpretation and insights
- Comfortable identifying and mastering new techniques on your own, without top-down direction
Please note that this role is located in Boston, with a hybrid work schedule.
Compensation
The base salary range is $100,000-$120,000. The starting salary will be determined to be commensurate with experience. The full compensation package includes stock option grants and additional benefits, including Health, Dental, Vision, and 401k plan.
Please note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas at this time.
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