Applied Predictive Statistics Manager

Summary about this job

Detail information about job Applied Predictive Statistics Manager. Terms and conditions vacancy

• Healthcare R&D company seeking experienced applied predictive statistician
• Work alongside world-leading statisticians with previously untapped data sources
• Apply predictive modelling & machine-learning for better patient outcomes

Summary

• Healthcare research and development company is seeking an accomplished statistician/ data scientist to help drive its applied predictive statistics workstreams

• Work alongside world-leading statisticians using previously untapped data sources to answer key, well-defined business questions and test/refine solutions in situ

• Work for a company with excellent growth potential as part of a high-performing, enthusiastic team

Our Company

Healthcare Logic is a unique, fully funded R&D company in the Healthcare sector based in the Gold Coast, QLD. We create hospital analytics solutions working in partnership with various health services and academic institutions. We are a small but motivated, high-performing team interested in improving access to and the management of hospital and health services.

Role

This role presents an opportunity to grow to the next level in your statistics/data science/ management career. You will be mentored by our senior team including leaders in predictive statistics, hospital management logic, software development and customer success.

You will help drive Healthcare Logic’s applied predictive statistics agenda, use predictive modelling techniques to solve complex problems in ways that can be integrated at scale, test the solutions in situ and refine, and help build and manage our applied predictive statistics team. Starting in the early stages of an R&D program will be challenging, but for the right person, this opportunity will give you the stage to shine and accelerate your career.  

Required Experience

The successful candidate will possess the following:

• 2-5 years industry experience years applying statistics to yield better outcomes with proven track record

• Proficiency in R; able to use various types of supervised and unsupervised learning techniques to develop predictive models including but not limited to: random forest analyses, logistic regression, survival analysis, clustering, neural networks, etc

• Proficiency in SQL and a solid understanding of data structures and transformations

• Experience with managing teams, projects and timelines

• Drive and enthusiasm; the candidate must be driven and possess the ability to solve complex problems within agreed timeframes with a focus on quality and outcomes

• Minimum of an honours/ masters degree with a  bachelor in mathematics, science or related fields

The following qualities are valued but not essential:

• Analytics experience in the healthcare industry

• Proficiency with AI and deep-learning techniques with proven track record

• Experience using Bayesian analysis with proven track record

• +2 years experience in a professional services firm

• Proficiency in python, perl, NoSQL, React, Angular QlikView and other similar business intelligence tools

• Peer-reviewed publications

Benefits

• Work alongside World-leaders in predictive statistics with some of the most unique and extensive datasets and apply the latest techniques

• Apply predictive statistics to healthcare in as yet unimagined ways

• Competitive salary with excellent career trajectory

• Work as part of a team at the cutting edge of Healthcare analytics

• Potential to collaborate internationally

Enquire or apply now

General enquiries can be directed to Leigh Platt by email [email protected]. Please only apply via the SEEK link, click the “Apply for this job” button, please attach your current resume plus a cover letter briefly describing your experience and how you can bring value to this role.

Applications close at 5pm on Monday 30th July.