Health Data Scientist

Company:
Location: Boston, MA 02108

*** Mention DataYoshi when applying ***

Description

Do you have the career opportunities as a Health Data Scientist you want with your current employer? We have an exciting opportunity for you to join Genospace which is part of the nation's leading provider of healthcare services, HCA Healthcare.

We are committed to providing our employees with the support they need. At Genospace, we offer eligible colleagues an attractive benefit package that includes medical, wellbeing, dental and vision benefits along with some unique benefits including:

  • Medical, Dental, Vision, Life Insurance and Flexible Spending
  • Paid Time Off (PTO) and Personal Leave
  • 401K (100% annual match - 3% to 9% of pay based on years of service)
  • Academic Assistance and Reimbursements for Tuition and Student Loans
  • Employee Discounts including Tickets, Retail, Mental Health Apps, Education Apps, Identity Theft Protection etc.
  • Home, Auto, and Pet Insurance
  • Employee Stock Purchase Program (ESPP)
  • Short Term & Long Term Disability coverage
  • Adoption Assistance
  • Legal Benefits and lots more!

Learn more about Employee Benefits

Our teams are a committed, caring group of colleagues. Do you want to work as a Data Scientist where your passion for creating positive patient interactions are valued? If you are dedicated to caring for the well-being of others, this could be your next opportunity. We want your knowledge and expertise!

Genospace is looking for a talented and enthusiastic team-player to help deliver powerful biomedical data and insights through our platforms.
As the leading provider of information technology services in molecular medicine, our software is used by clinicians and researchers all over the country and the globe to improve patient care.


We serve research, clinical development, pathology and clinical care customers who work with high-dimensional genomic and other biomedical data. Many of the most advanced precision medicine organizations are powered by Genospace.

What You’ll Do:

Genospace is seeking a Health Data Scientist to help deliver key insights and drive decision-making from a high volume and wide range of patient health data sources. The Health Data Scientist’s primary focus will be applying machine learning, natural language processing, and image processing techniques, as well as conducting statistical analysis and building high quality prediction systems that integrate with Genospace’s precision medicine products.

As a Health Data Scientist at Genospace, you will:

  • Process, cleanse, and verify the integrity of data used for analysis
  • Apply natural language processing to identify key features for patients and clinical trials
  • Select features and build and optimize classifiers using machine learning techniques
  • Integrate protected and proprietary data with external and public information repositories
  • Enhance data collection procedures to include information that is relevant for building analytic systems
  • Develop novel research questions and lead the investigation and presentation of scientific results in peer-reviewed publications and conferences
  • Collaborate with physician and clinical thought leaders in the design and application of outcomes/health economics research in alignment with strategic goals
  • Support concept development, protocol design, and analytic plan development for outcomes research and discovery projects
  • Work in close, regular collaboration with engineering and implementation teams.

What We’re Looking For:

  • Strong experience with a data science relevant programming language, such as R and/or Python
  • Experience in natural language processing and/or image processing
  • Experience with web-scraping and APIs
  • Excellent scripting and programming skills
  • Great written and verbal communication skills
  • Strong understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Random Forests, Gradient Boosting etc.
  • Experience with data visualization tools, such as D3.js, ggplot, plotly, matplotlib, bokeh, etc.
  • Good applied statistics skills, such as distributions, statistical testing, regression, survival analysis, dimension reduction, etc.

Education & Background:

  • Masters degree in quantitative field or extensive experience in data science related field
  • Familiarity with clinical data
  • Familiarity with health economics and outcomes
  • Comfortable with concepts in the relevant field of application - therapeutics, molecular biology, DNA, oncology, clinical trials, HIPAA.

Genospace, a cloud-based software company located in Boston, is a leading information platform for applied precision medicine, delivering a variety of applications and services related to clinical trials, and specializing in data integration, modeling, analysis, interpretation, visualization and collaboration. As the precision medicine platform of Sarah Cannon, we are part of a global network of experts making an impact on the future of cancer therapies. Sarah Cannon’s partnership with Genospace advances our mission of bringing innovative technologies and access to clinical trials into the community to transform standards of care for patients. Genospace, with Sarah Cannon, is an affiliate of HCA Healthcare.

HCA Healthcare has been named one of the World's Most Ethical Companies by Ethisphere Institute for over a decade. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses.



Bricks and mortar do not make a hospital. People do.- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder

If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Data Scientist opening. We promptly review all applications. Highly qualified candidates will be contacted for interviews. Unlock the possibilities and apply today!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

*** Mention DataYoshi when applying ***

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