Clinical specialist - older adults

Ramat Gan, Israel
Full Time
Experienced

 

A bit about us:

Assured allies is a well funded startup working out of Tel-Aviv and Boston, MA. Assured Allies’ mission is to make aging sustainable. We empower older adults to live happier, healthier, and more independently at home, while reducing the financial burden associated with aging. As the first step in our journey, we are working with long term care insurance companies, building new solutions for this huge but struggling market. 

We are working on a range of products in the field. Our first product is deployed, while the construction and marketing of other products are well underway.

We use advanced statistical and machine learning algorithms, unique data collection methods and personalized, evidence-based clinical interventions. 

It takes a world-class team to achieve an ambitious goal like ours. To do this, we aim to bring smart and curious people from a range of professional backgrounds, all connected by a shared dedication to our mission. 

Are you ready to join us?

 

A bit about the role: 

We know that our models can only be as good as our data!

Making sense out of data and building innovative data collection tools relies heavily on the ability to understand the context in which this data has been or is being collected and the different artifacts that might come into play.

We are seeking a Clinical specialist specializing with older adults population to help us boost our understanding of the data we’re working with, providing the right context and prioritizing the data we should be collecting and relying upon for our predictive models. You will use your knowledge of the domain and your clinical experience, together with your skills for critical literature review, to impact our evidence based and personalized products aimed to make successful aging possible for all older adults. You will be involved in building innovative data collection tools to assess and stratify the risks older adults may face, in addition to formulating comprehensive programs that mitigate these risks efficiently, while being evidence based and personalized. In addition, you will collaborate closely with our data analysis and data science teams to make sure the data is used correctly and that our predictive models are as useful as we think they are. 

 

Responsibilities:

  • Perform critical reviews of the literature on mitigating aging related risks
  • Explore and understand data collected in longitudinal and other studies, using data analysis software tools
  • Communicate domain knowledge to stakeholders and colleagues
  • Collaborate with the product team to build high-quality and concise data collection tools
  • Collaborate with data analysts and data science teams to provide context to predictive models
  • Formulate evidence based program to mitigate aging related risks in a personalized way

 

Qualifications:

  • Certification in one of the following fields: Medicine, Physiotherapy, Occupational Therapy, Social Work.
  • Graduate degree (M.A. / M.Sc. / M.P.H. / Ph.D.)  with a thesis in one of the following fields: Medical Sciences, Neuroscience, Epidemiology, Public Health, Gerontology, Geriatrics, Physiotherapy, Occupational Therapy, Social Work.
  • 5+ years (of which 3+ years working with older adults) of clinical experience in one of the following fields: Medicine, Physiotherapy, Occupational Therapy, Social Work.
  • Technology oriented - comfortable with learning new technologies and searching for tech solutions in the clinical field
  • Knowledge of statistical analysis software (R, Python, SPSS, SAS, STATA)
  • Willing to acquire coding skills in additional languages (mainly R and Python)
  • Ability to perform a literature review with critical thinking
  • Ability to communicate effectively clinical knowledge to stakeholders
  • Good knowledge of statistics and research methodologies
  • Research experience in the fields of Gerontology or Geriatry - an advantage
  • Knowledge of ICD-9 and ICD-10 coding systems - an advantage
  • Experience with medical data - an advantage

 

 

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