We are looking for a Data Scientist who is interested in developing and productionizing AI/ML models at scale from various clinical and healthcare datasets.

As a team we combine expertise in healthcare, data science and tech to enable decision making for medical device companies, venture capital, PE and family offices.

We are building AI & ML based models to help make sense of a huge healthcare dataset that we own
and provide insights via our SaaS platform. The team is a combination of domain experts with an A+ group of engineers to build scalable models. These models chart a data-driven path forward and ensure that our customers are focused in the areas that matter the most to their bottom line.
Some of the data you will be working on includes medical claims, patient surveys, EMR data, hospital implantation data, publicly available data (e.g. webscraping).

Job profile:
85% New features
5% Document writing
10% Meetings

### We’ll trust you have:
- Demonstrated experience developing scalable AI/ML Models
- Knowledge of AI/ML techniques and how they can be used to develop production ready algorithms to solve key healthcare business questions
- Ability to determine how to improve algorithms that have been developed by other members of the data science team
- Ability to work with large messy healthcare data and work to own the data pipeline from Raw data to model execution
- Determine how to improve model run times, model features that will create a SaaS product with optimal customer uptake
- Manage multiple junior data scientists

Who you will be working with:
• Work with our CTO in determine optimal execution environment
• Work with our other lead and junior data scientists in implementing, scaling the algorithms that we build
• Collaborate with our executive team to craft a roadmap for data science and integrate it into our product roadmap
• Work with our team of PhD Academic advisors and modeling data science lead to help test, validate and develop new algorithms
• Work with our data engineering and software team to implement data science into product

Need to have:
• A PhD or Ms in Computer Science, Data Science or similar field
- Experience managing a small team of data engineers and data scientists
- Experience working cross functionally to craft a roadmap
- A track record of building and deploying production systems
• GitHub, Kaggle (or equivalent) public repository with a portfolio of projects
• Solid development experience with programming languages and statistical platforms and tools: SAS, R, Matlab or python [4+ experience in at least one of these]
• Experience in implementing or improving algorithms in the areas such as pattern recognition, classification, ranking and applied Bayesian statistics and dynamic linear models

We’d love to see:
• Experienced with data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce)
• A broad and/or demonstrated interest in areas that will be relevant to us today such as using AI/ML to predict healthcare utilization at various levels of details
• Have 5+ Years of experience in industry (nice to have)
• Experience working in remote teams

What we offer:
• Salary 25 000 - 33 000 PLN+ vat (B2B) per month OR 25 000 - 33 000 PLN gross per month (mandate)
• Small teams
•International projects
•Paid Holidays
• Travel to California