Informacje o stanowisku

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 on 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, and publicly available data (e.g., web scraping).



Job Profile:

85% New features

5% Document writing

10% Meetings



We’ll trust you have:

1. Demonstrated experience developing scalable AI/ML Models
2. Knowledge of AI/ML techniques and how they can be used to develop production-ready algorithms to solve key healthcare business questions
3. Ability to determine how to improve algorithms that have been developed by other members of the data science team
4. Ability to work with large messy healthcare data and take ownership of the data pipeline from raw data to model execution
5. Determine how to improve model run times and model features that will create a SaaS product with optimal customer uptake
6. Manage multiple junior data scientists

1. Work with our CTO in determining the optimal execution environment
2. Collaborate with our other lead and junior data scientists in implementing and scaling the algorithms that we build
3. Collaborate with our executive team to craft a roadmap for data science and integrate it into our product roadmap
4. Work with our team of PhD academic advisors and modeling data science lead to help test, validate, and develop new algorithms
5. Work with our data engineering and software team to implement data science into the product

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

1. Experience 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)
2. A broad and/or demonstrated interest in areas relevant to us today, such as using AI/ML to predict healthcare utilization at various levels of detail
3. 5+ years of experience in the industry (nice to have)
4. Experience working in remote teams

1. Salary 25,000 - 33,000 PLN + VAT (B2B) per month OR 25,000 - 33,000 PLN gross per month (mandate)
2. Small teams
3. International projects
4. Paid holidays
5. Travel to California

Gdańsk - Oferty pracy w okolicznych lokalizacjach