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Clinical Data Scientist 389 views

About Syapse

Maybe you’ve supported a friend or family member who’s dealing with cancer. Maybe you’ve battled it yourself. At Syapse, their mission is to enable healthcare providers to deliver the best care to every cancer patient through precision medicine and it’s their personal connections to this mission that unites them.

Together, they’re building a revolutionary platform that integrates complex oncology data and shares insights across the cancer care ecosystem including cancer care centers and life science companies developing the next generation of cancer diagnostics and medicines. Join them in their mission to make precision medicine available to every cancer patient who needs it and help them make a positive impact in the lives of people battling cancer, their families and the organizations committed to their care.

 

About the role:

Syapse is looking for a Clinical Data Scientist to build on their efforts to enable clinical decision making using a genuinely unique set of real world data and Syapse software.

They’ve created a large real-world data set which aggregates and standardizes patient clinical history and molecular profiling results with treatments, and outcomes from multiple disparate sources. This unparalleled comprehensive set of real world data can be used to extract insights such as new treatment paradigms and more efficient research pathways. Not only are the data insights you will be able to generate uniquely possible at Syapse, but these insights will be applied directly to improving patient outcomes at the point of care.

This position will report to the Senior Director of Informatics within the Clinical Data Science team and collaborate daily with a cross-functional team of product managers, software engineers, informaticists, clinicians, data scientists, and others in a fast-paced and mission driven environment.

 

About You:

You will be their bridge between cancer data needs & technology solutions to put real world data into context and generate meaningful insights. You enjoy translating complicated concepts into digestible results and executing against multiple simultaneous projects. Your strong working knowledge of clinical / healthcare data and analytics is augmented with a deep understanding of the application of precision medicine within oncology.

Key Responsibilities:

  • Expertise: Be a domain expert in the field of oncology data, the Syapse platform, and the optimal methods to solve clinical problems using their data and platform.
  • Deliver: Ability to multi-task and execute on concurrent projects within Syapse and with their clients and partners.
  • Collaborate: Work closely with internal teams to improve their core products, analytic capabilities, and data sets as well as working directly with clients and partners on answering their questions and solving their problems.
  • Educate: Share clinical data insights internally to enhance our shared understanding, share ideas where they can innovate, and publish novel insights.

Requirements:

  • Masters, PhD, or MD in oncology, clinical, biomedical or health informatics or a related field, from a leading institution or equivalent work experience.
  • 2+ years of experience working with applied data in oncology / precision medicine, including performing data analytics projects and participating in a client-facing role.
  • Demonstrated proficiency in clinical oncology data (medical terminology such as diagnoses, treatments and biomarkers, provider workflow, and clinical trials).
  • Deep professional experience leveraging data from various clinical systems, like EHR, pharmacy, Lab information systems, and claims.
  • Experience working with standard controlled vocabularies like; SNOMED-CT, LOINC, RxNorm, NDC, ICD-9, ICD-10, CPT, HCPCS, OncoTree.
  • Ability to write scripts (e.g. python, perl) to perform data manipulation and analysis.
  • Experience with a query language such as SPARQL or SQL.
  • Experience with a statistical package such as R.
  • Excellent verbal and written communication skills, with emphasis on relaying complex information and concepts in more relatable terms.

Preferred Skills or Experience:

  • Experience with analyzing clinical and genomic data for external clients.
  • Experience with developing predictive models.
  • Experience with advanced analytic techniques, including machine learning.
  • Experience with developing and refining data models.
  • Publications around clinical data analysis.
  • Entrepreneurial experience.

 

Benefits and perks

Amazing Coworkers

Competitive pay and ownership in the company

100% company paid medical, dental and vision for employees

401(K) matching

Flexible time off

Transit assistance & Pre-tax commuter benefits.

Weekly catered lunches and office snacks

Company sponsored gym membership & lots of other perks

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