Philips is looking for the position of Data Scientist – Image Processing in Bangalore, Pune, India. Candidates with Bachelor’s or Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Philips |
| Position | Data Scientist – Image Processing |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2018/ 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers/ Experienced |
| Location | Bangalore, Pune, India |
Key Responsibilities:
- Demonstrate proficiency in addressing complex problems in medical image processing with ambiguity, delivering Proof of Concept (PoC) at a Technology Readiness Level (TRL) suitable for New Product Introduction (NPI) programs.
- Actively collaborate with clinical scientists, AD leaders, and universities to spearhead advanced development projects related to medical image analytics, emphasizing a research and development (R&D) perspective.
- Provide support to NPI development efforts, specifically addressing time-sensitive and intricate Life Cycle Management (LCM) challenges related to image processing and Image Quality (IQ) using specialized expertise.
- Mentor and guide less experienced engineers within the team, fostering a collaborative learning environment. Exhibit a high degree of learning attitude to assimilate new knowledge in the realm of medical image pre- and/or post-processing.
Eligibility Criteria:
- Proficient in programming languages including Matlab, Python, R, and Java/C/C++.
- Familiarity with opensource medical image visualization and segmentation tools such as ITK and VTK.
- Expertise in medical image pre-processing techniques, including gain/offset correction, defect correction, EMI/EMC correction, grid correction, and calibration based on detector physics.
- Knowledge of overall Image Quality (IQ) analysis for diagnostic X-ray images is a plus.
Preferred skills:
- Proficient in Convolutional Neural Networks (CNN) and well-versed in other statistical modeling and classification approaches, including regression, Support Vector Machines (SVM), and Principal Component Analysis (PCA).
About Company:
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world.
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