Job Description:
We are looking for a data scientist who wants to join a tight-knit team and be as passionate as we are about growing our company to redefine the realm of possibility in healthcare. PRINCIPAL DUTIES & RESPONSIBILITIES: Problem Understanding & Data Preparation:
Additional Info:
Ascend is a medical technology realization lab created out of a collaboration between the Greater Dayton Area Hospital Association (GDAHA) and Kaleidoscope. We operate in partnership with three healthcare networks, gaining access to 29 hospitals and healthcare organizations. We leverage our hospital access to conduct product and clinical research, data science and analytics, and observational research that supports our in-house product development or the product development of our partners. A key service area of Ascend is data science and analytics. We find creative ways to integrate our capabilities with hospital data, operations, and workflows, as well as identify industry opportunities. Hospitals use our services to improve quality, optimize operations, and reduce costs. Meanwhile, our product development partners rely on these services to help them better understand their market, assess a healthcare need, and devise the best product to meet that need. Our findings are transformed into algorithms or models that improve the patient experience and expedite the development of medical devices. So, if you’re a Data Scientist with interest in Ascend and the healthcare industry, please apply today! [Click Here to Access the Original Job Post]
We are looking for a data scientist who wants to join a tight-knit team and be as passionate as we are about growing our company to redefine the realm of possibility in healthcare. PRINCIPAL DUTIES & RESPONSIBILITIES: Problem Understanding & Data Preparation:
- Interface with hospital data departments to identify challenges or opportunities that align with key strategic healthcare initiatives
- Clean, restructure, and manipulate data into a useable format for analysis
- Perform feature engineering for machine learning as applicable
- Visually and statistically mine data to extract insights and drive algorithm development
- Translate findings into intuitive reports or presentations
- Design, prototype, and refine production ready, predictive algorithms or models
- Work directly with data architects and/or software developers to seamlessly integrate products with hospital network operations and workflows
- Master’s degree or above in quantitative discipline (e.g. operations research, statistics, bioinformatics, mathematics, computer science, industrial engineering)
- 3+ years of relevant experience in data science, analytics, or another related STEM field
- Healthcare experience [BONUS}
- Open source programming languages (R, Python, etc.)
- Scientific data related Python packages (NumPy, pandas, scikit-learn, Matplotlib, SciPy)
- Ability to select suitable statistical techniques for a given dataset
- Expertise in machine learning algorithms including regression models, GLM, SVM, neural networks, tree-based models (e.g., Boosting, Decision Trees, Random Forests)
- Ability to translate analytic results into intuitive insight and recommendations
- Demonstrated leadership and self-direction. Willingness to collaborate and learn new technical skills/techniques
- Jupyter Notebooks [BONUS]
- Natural Language Processing, mathematical programming, simulation, or deep learning [BONUS]
- Database languages (e.g. MongoDB, MySQL, SQL, etc.) [BONUS]
- Software development languages [BONUS]
- Competitive salary and benefits (401k, Flexible Time Off, Medical, Dental, Vision, etc.)
- Challenging and meaningful problems to solve
- A vibrant, hardworking team that still manages to find time for fun
- Excellent, collaborative work space and location
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Django
- Machine Learning
- MongoDB
- MySQL
- Programing in Python
- Programing Skills
- Programming in R
- Software Design
- SQL
- Statistics
Areas :
Additional Info:
Ascend is a medical technology realization lab created out of a collaboration between the Greater Dayton Area Hospital Association (GDAHA) and Kaleidoscope. We operate in partnership with three healthcare networks, gaining access to 29 hospitals and healthcare organizations. We leverage our hospital access to conduct product and clinical research, data science and analytics, and observational research that supports our in-house product development or the product development of our partners. A key service area of Ascend is data science and analytics. We find creative ways to integrate our capabilities with hospital data, operations, and workflows, as well as identify industry opportunities. Hospitals use our services to improve quality, optimize operations, and reduce costs. Meanwhile, our product development partners rely on these services to help them better understand their market, assess a healthcare need, and devise the best product to meet that need. Our findings are transformed into algorithms or models that improve the patient experience and expedite the development of medical devices. So, if you’re a Data Scientist with interest in Ascend and the healthcare industry, please apply today! [Click Here to Access the Original Job Post]