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Software Engineer / Data Scientist - Stealth Company

aMoon Fund

Rehovot, IL
  • Job Type: Full-Time
  • Function: Engineering Software
  • Industry: BioPharma
  • Post Date: 08/19/2021
  • Email: amoonfund.SWengineer@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 and Life Sciences venture capital fund based in Israel. Our mission is to launch tomorrow’s cures to the world’s greatest healthcare challenges. We are passionate about giving the most promising thinkers and innovators the resources they need to propel their business and technology to the next level and beyond. The largest HealthTech fund in Israel with over $1billion under management, our mission is to harvest the tsunami of the convergence of health and technology in Israel and globally and to accelerate cures for humanity’s most life-threatening conditions and global healthcare’s biggest cost drivers.

The aMoon team combines the forces of a unique investment engine and a global network of investors and industry leaders to enable early and late-stage companies in the fields of biopharma, digital health and medical technology to achieve their fullest potential. We are a team of doctors, scientists, hi-tech pioneers and innovators ourselves. We are deeply passionate about working hand-in-hand with our portfolio companies to reshape global healthcare.

Job Description


One of our portfolio companies, a a young stealth startup with strong backing, developing an innovative, multi-modal, and data-driven approach to disease biomarker discovery, is seeking for a highly-motivated and experienced software person to join their data science and big-data analytics team. This exciting team includes veteran professionals, experienced entrepreneurs, and alums of The Technion, Harvard, TAU, Google, Weizmann Institute and more.  

Responsibilities:

     Curation and Implementation of data pipelines and experiments on common industry platforms.
     Integration of clinical data with molecular information through state-of-the-art infrastructure.
     Work across platforms, infrastructure, and cloud services.
     Work closely with scientists and clinicians on new discoveries and data interpretation.
     Designing and implement new tools to capture data sets, optimizing for traceability and ease of use.
     Staying current with best practices and internally promote new techniques/ideas.

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