R & D Engineer (Self diagnostic related) | インバウンドテクノロジー株式会社/INBOUND TECHNOLOGY,INCの求人詳細

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更新日 2018-10-03
掲載開始日 2018-10-02

R & D Engineer (Self diagnostic related)

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この求人の
取扱い会社
人材紹介
インバウンドテクノロジー株式会社/INBOUND TECHNOLOGY,INC
企業名 会社名非公開
職種 IT関連(組込み/制御系) - ソフトウェア設計
メディカル/医薬/バイオ/素材/食品 - 基礎研究/応用研究/分析
業種 医療機器メーカー
勤務地 アジア 日本 東京都

仕事内容 Application development of breast cancer screening machine using ultrasound.
・Develop theoretically excellent imaging method, inverse problem solving method etc from scratch and implement it in products.
・Generate technology published in papers and academic presentations to actual algorithms, evaluation from implementation, nonclinical examination.Clinical evaluation by humans within 1 to 2 years.
· Development of automatic diagnosis algorithm by machine learning from clinical images. Evaluation by clinical trial.


② R & D engineer (Automatic diagnosis related)
· Design and implementation of CAD (for automatic image diagnosis using AI)
· Management and guidance of person in charge of coding (interns etc.)
企業について
(社風など)
The company focus on development of ultrasonic diagnostic device for breast cancer using ring type ultrasonic transducer.

The existing mammography examination tools has the following problem: ① pain due to compression, ② X-ray exposure, ③ Tumor detection for young women is low.
The Echo inspection also posed its own disadvantages since the examination is performed by a technician using a probe which pose the following risks : ① low repeataibility ② high level of skill dependency of the technician, both points increase the risk of oversight.

the device acquires a 3-dimensional image with extremely low risk of overlooking cancer. The device does not require any technical skill to be able to get the perfect image of the patient. Furthermore, we will construct a medical examination / diagnosis system that is compatible with sensitivity and specificity by expanding applications. No pain, no exposure, less leakage, can be used for all aged people. It also utilize automatic diagnosis support function developed by automatic measurement / machine learning, aims to be able to commit to improving the medical examination rate simply beyond the goal of improving the performance of medical equipment, contributing to the reduction of the death rate of the patient .
勤務時間 09:00 ~ 18:00
応募条件 · Experience in developing related to image processing or machine learning, you can consider and apply and verify its application method by yourself

· Able to lead and communicate with members in charge of the module you are in charge with

* Knowledge and experience of medical system are not needed
* Japanese level not needed, interview can be done in English
英語能力 ビジネス会話 (TOEIC 735-860)
日本語能力 なし
年収 日本・円 600万円 〜 700万円   
給与に関する説明 Social Insurance
休日 Five-Day Workweek
Summer Holidays
Congratulatory or Condolence Leave
Paid Holidays
契約期間 Full time
最寄り駅 Hongosanchoume Station
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