Who we are Acupera is a San Francisco digital health company with focus solutions that enable the new paradigms of healthcare delivery What we do We are developing a portfolio of digital health solutions that assist providers in population health management and care coordination Our solution will enable provider institutions to successfully risk stratify their patient population and manage the clinical and behavioral issues that drive poor medical outcomes Our cloud based analytics and workflow engine allow medical centers to maximize their human resources and achieve best possible clinical outcomes We have successfully implemented our solution in large health systems and are working with over 2 million patient records that includes EHR data claims pharmacy data devices etc Who we are looking for We are looking for an experienced healthcare data scientist to be an integral part of the team in product development and use our vast data assets to create innovative digital health products that enable new models of healthcare delivery Responsiblities This position serves as data scientist who will work with our medical and technology team in understanding the key healthcare delivery issues that were trying to solve and what products will be able to address those issues Once a solution has been conceived the data scientist will devise data analytics and modeling plans to support the product development The models need to be innovative and interactive Most will need to update real time based on new information from the many databases that the Acupera system receives live information The different types of models include risk stratification models to identify different cohorts of patients that are suited for different types of interventions and intensity of care models that support optimal referral management system models that support matching of the most effective interventions with different types of drivers of poor health outcomes dynamic models that support patient prioritization for care management and more The candidate needs to have experience and have built models with different forms of healthcare data especially EHR data Acupera possesses large EHR data assets and is looking to combine this data with claims pharmacy labs and other forms of data to create innovative models that improve care delivery at various levels This role will also be responsible for defining the measures for our clinical analytics be able to conduct data analysis then work with the software engineering team to build in the analytics in the system and verify the results Some example tasks they may be responsible for Create dynamic risk models of a population of patients to identify risk cohorts and also individual risk for high cost health outcomes The models need to distinguish between actionable and non actionable cohorts and individuals and update dynamically as new data becomes available Create models that can match the most effective interventions to the identified patient risks Create models that find optimal pathways for patient referrals and ensure the most efficient resolution to patient issues QualificationsRequirements Degree from a top institution in relevant fields such as engineering statistics actuarial sciences Education and experience in medical informatics highly preferred Experience with doing analytics and building models using health care data including EHR data claims administrative data pharmacy data laboratory data devices etc Critical thinking skills to glean insights from the analytics process and apply key learnings to improve models Full familiarity and ability to work with various clinical data standards such as ICD RXNORM LOINC Snomed UMLS Must be comfortable to independently view and analyze data in HL7 format such as ADT CCD CDA v2 v3 RIM flat files etc Must be comfortable with queries in SQL Must be comfortable with 837 claim formats and know how to view an 837 form in a human readable format and find different elements Must be comfortable with the pace of a startup company where you have to work with incomplete information and only high level direction but be able to produce quality work Must be comfortable with the functioning of an EMPI Enterprise Master Patient Index Must demonstrate an ability to 1 establish and maintain collaborative working relationships 2 set clear priorities and achieve outcomes in a timely manner 3 respect and preserve the confidential data to which this position has access 4 perform a variety of duties often changing from one task to another of a different nature without loss of efficiency or composure 5 effectively organize time tasks and information and 6 exercise discretion appropriately 7 demonstrate skills in strategic and critical thinking negotiation and relationship building 8 exhibit the highest values of excellence integrity and innovation