Location: Boston,NY, USA
WELCOME to Aetion! We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Generate, Discover, and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness and value of medications, delivering better outcomes to patients, medical professionals, and clients. Aetion is headquartered in the US and has expanded throughout Europe with a Research and Development Hub in Barcelona.Aetion and Aetion's leadership are recipients of several prestigious awards:Sabbatical opportunity after five years of employmentDaily in-office lunch stipend and a fully stocked kitchenRelocation to Barcelona supported with external provider servicesWhy join Aetion's tech team?You'll collaborate with other engineering leaders on all matters that impact the Engineering team, including resourcing and building technology/product visionYou'll have the opportunity to coach and mentor colleagues, including code reviews, higher-level software design, and direct managementThe team works on a technical stack which includes both cloud and on-premise deployments, big-data ingestion and analytics, distributed systems, and algorithmic complexity.DESCRIPTION:Working at Aetion on the Generate team (formerly Replica Analytics) is a unique opportunity to advance health care, AI and privacy at the same time. The Data Science team works to research and develop new statistical and machine learning methods to empower the responsible re-use of healthcare data and then put them into practice via our software and consulting services to clients. Our team works on methods for the generation and assessment of synthetic data as well as risk based de-identification at scale. If you enjoy a highly interdisciplinary, innovative and supportive environment, this may be the right job for you.RESPONSIBILITIES:Lead the development of new technologies for data synthesis using a wide variety of machine learning methods; investigate various research topics in machine learning and statistics to determine the best method for data synthesisImplement and test production and research pipelines in Python and RAct as the scientific lead on client projects to de-identify or synthesize complex datasets and assess their utility and privacyLead client education on data synthesis technologiesContribute to the dissemination of research results in the form of peer-reviewed papers, reports, and presentationsQUALIFICATIONS:Required QualificationsA BSc/MSc/PhD degree (or equivalent) in mathematics, statistics, computer science, or electrical engineering3+ years of work experience (3 years for candidates with a PhD, 4 years for candidates with an MSc, 5 years for candidates with a BSc)Demonstrated ability to conduct statistical and machine learning research (in the form of a thesis, publications, or side projects) and independently solve problemsExpert in Python or R programming for data science (data cleaning/pre-processing, classification and regression, model evaluation, data visualization, writing and applying custom functions, parallelization)Experience with deep learning tools like PyTorch or TensorFlowExcellent communication skills (verbal and oral)Preferred QualificationsDetail-orientedMotivated to learn and apply new machine learning methods to solve real-life problemsExperience working with complex health care data (e.g., insurance claims, EHR, CDISC)We understand not everyone will meet all the above qualifications on day one. As a team of lifelong learners, we encourage you to apply if you are passionate about the role and want to grow your skills. We are excited to meet people who believe in Aetion's mission and can contribute to our team in a variety of ways.Aetion is an Equal Opportunity Employer. Aetion is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. To that end, we strive to recruit and maintain a workforce that meaningfully represents the diverse and culturally rich communities that we serve. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disabled status or, genetic information.Apply for this job * indicates a required field#J-18808-Ljbffr