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Remote, direct-hire opportunity with a leading medical technology company in the health economics and outcomes research (heor) discipline
Role description
This individual will conduct analyses and research to produce results and identify solutions to provide support for project analyticsThis role will serve as a subject matter expert in machine learning for both clients and internal stakeholdersThe position will assist communication efforts lead by the project manager or other staff to show the value proposition and evidence to achieve maximal commercial success of products throughout their life cycleThis will include providing outputs to be used in various deliverables and helping to interpret outcomes for clients and other stakeholdersThe senior data scientist should have a deep understanding of rwe/heor studies (which will also include payer analytics tools such as input to rct & rwe design & analyses, meta-analyses, predictive analytics, statistical comparisons, and indirect and mixed treatment comparisons) as well as the application of machine learning techniques and their application to healthcare data to gain new insights for our customers.
Purpose of role
The senior data scientist, machine learning will be responsible for supporting innovative research strategies and activities and to produce scientific evidence and support publications for our pharmaceutical clients.
Main responsibilities / critical tasks
Provide leadership and guidance on all analytic aspects of project work
Provide support to lead scientists throughout the project life cycle
Extensive knowledge of various healthcare datasets and data types including claims, emr, etc.
Provide mentoring and training to junior level staff
Proactively address complex analytical issuesHandle unforeseen circumstances and actively monitor and apply new analytical techniques
Provide support drafting materials for project related content as well as internal research
Collaborate with medical writers and project managers to provide rwe input on manuscripts and other similar deliverables and review rwe -related publications for technical accuracy and quality of technical literature review
Responsible for quality control of all analytic work including deliverables related to the project
Interact with cross-functional team members at a project level.
Ability to work in a fast-paced and accountable environment
Expected outcomes
Serve as analytics lead on projects and produce or provide guidance on all analytic deliverables
Perform ad hoc analyses as needed
Provide guidance to the project lead, research analysts and clients on analytic approaches that are appropriate to project work as needed
Ensure quality control is maintained and that project materials such as programming code, analytic files and sas logs are properly archived
Training and mentorship for junior level staff and evaluation of staff performance
Skills & knowledge
Demonstrated ability to work in different types of datasets, analyze data tied to study designs, and interpret results in the context of peer reviewed publications
Assess data quality and completenessCreate queries for calculating metrics and benchmarks.
Excellent understanding of machine learning techniques and algorithms including clustering, decision trees, bayesian techniques, random forests, neural networks, etc.
Experience with common data science toolkits and libraries, such as scikit-learn, pandas, numpy, scipy, matlab, etc.
At least 2 years’ experience using r, r shiny and python for machine learning projects
Strong knowledge of sql and data manipulation techniques
At least 2 years’ experience of machine learning experience using real-world data
Great verbal and written skills
Provide mentorship and training to the analytics team and serve as a thought leader on machine learning
Knowledge of application of deep learning to real-world data is a plus
Serve as the internal primary point of contact for analytic requests with a focus on machine learning and other advanced analytic techniques
Work independently with minimal oversite and works to adhere to timelines as defined by the internal teams
Provide excellent customer service when delivering work on projects
Behavioral competencies
Ability to communicate with stakeholders both internally and externally
Strong organizational skills
Expert knowledge of healthcare data and methods of data manipulation and analysis
Expert knowledge of machine learning techniques
Ability to work quickly and accurately for all assigned tasks
Experience, education & certifications preferred
Master or phd degree in engineering, neuroscience, bioinformatics, or other quantitative fields with at least 4 years of experience in the healthcare industry
Strong analysis and programming experience including expert level skill in manipulating and analyzing large datasets
Expert knowledge of sql, r, r shiny or python
Expert level experience with multiple healthcare data sources
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