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Data Scientist / Head of Data Science - Stealth Company

aMoon Fund

Rehovot, IL
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: BioPharma
  • Post Date: 02/09/2021
  • Email: amoonfund.BE.C12@applynow.io
  • Website: amoon.fund
  • Company Address: 34 Yerushalaim Rd, Beit Gamla, 6th Floor, Ra'anana, 4350110 Israel

About aMoon Fund

aMoon is a leading healthtech & life sciences venture fund

Our team is passionate about building successful businesses and helping biopharma, digital health and medical technology companies realize their potential.

We partner with management teams who use technology and cutting-edge science to accelerate cures for the world’s most life-threatening conditions and those providing solutions for global healthcare’s biggest cost drivers.

Job Description

A new stealth startup developing an innovative new approach to disease biomarker discovery is seeking a highly-motivated and experienced Data Scientist to lead the field of data science and big-data analytics in the company. The head of data science and his team will be in charge of the analytical capacities of the company. 
 
● Integration of clinical data with molecular information through state of the art infrastructure.
● Development of diagnostic methods and risk stratification for diseases using machine learning.
● Curation of a large database that includes received medical data and in-house analytical data.
● Gradually build and manage a group of data scientists/software developers.
● Designing new tools to capture data sets, optimizing for traceability and ease of access.
● Staying current with best practices and internally promote new techniques/ideas.
● Work closely with the metabolomics analytical group for interpretation of data and biomarker identification.
 
Requirements:
● M.Sc/PhD in Computer Science / Computer Engineering / Mathematics
● Experience in machine learning and big data infrastructure and databases (over 5 years)
● Experience in analyzing clinical data / medical files through common EHR data types
● Self-learner – Ability to learn new ML concepts and technologies and apply them
● Familiarity with relational and non-relational databases.
● Prior work with building database infrastructure from scratch.
● Proficient in SQL, Python, and other scripting languages.
● Ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment
● Experience working in a regulated environment with documentation requirements
● Highly organized, exceptional attention to detail
● Experience in leading a research and development team - Advantage
 

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