| Scientific Python Developer, computational image analysis (100% Remote) || No H1B at Remote, Remote, USA |
| Email: [email protected] |
| From: Himanshu, DMS Visions INC [email protected] Reply to: [email protected] Hi, Hope you are doing well. Please find the job description given below and let me know your interest Title: Scientific Python Developer, computational image analysis (100% Remote) Location: 100% Remote Duration: 6+ Months Visa- No H1B Job Description: MUST HAVE:prior, recent Life Sciences experience, preferably Pfizer Role summary: We are seeking a skilled Python application developer to join their Digital Pathology and Image Analysis group within the drug safety R&D department. In this role, you will support our clients mission to deliver breakthroughs that change patients lives. You will advance the portfolio by developing and deploying Python packages that analyze large image datasets and drive decision-making / insights in drug discovery, helping to assess the potential safety risks of new drug candidates. If you are a dedicated and innovative professional with a passion for developing data-driven applications that empower scientists and drive impactful insights, we encourage you to apply for this exciting opportunity. Join our team and contribute to advancing scientific research and decision-making through cutting-edge technology and collaboration. Role responsibilities Build and maintain Python packages for deeplearning enabled image analysis workflows for digital pathology images. Lead the design and implementation of automated workflows and pipelines for image preprocessing (e.g., color normalization), model training, deployment, and optimizing the end-to-end ML lifecycle. Maintain and optimize codebase to ensure and adhere to coding best practices. Collaborate with crossfunctional teams to streamline and enhance image analysis workflows, leveraging distributed computing frameworks to drive efficiency and performance. Regularly present results at project team meetings and provide progress updates to relevant stakeholders. Ability to prioritize and multitask when working on different projects. Required skills and experience Bachelors or advanced degree in a quantitative discipline 2-4 years of demonstrable experience in developing/deploying deep-learning tools for digital pathology workflows such as generative AI tools, multiple instance learning, semantic and instance segmentation, etc. Excellent Python and PyTorch programming skills, with knowledge of the best practices for MLOps (version control, high-performance compute infrastructure) and software engineering. Passionate about developing scalable, efficient, and well-documented software. Excellent verbal and written communication skills Comfortable working in Linux and Windows environments. Preferred skills Prior knowledge of histology, human anatomy or physiology. 1-2 years of pharmaceutical experience in a quantitative field. Experience with SQL and relational databases If you are interested, please share your updated resume and suggest the best number & time to connect with you. Thanks & Regards Himanshu Gupta US IT RECRUITER, DMS VISIONS INC (972) 433-0229 Ext-104 | ( 470) 467-9946 | dmsvisions.com [email protected] LinkedIn: linkedin.com/in/himanshu-gupta-1888a1207 4645 Avon Lane, Suite 210, Frisco, TX 75033 Keywords: artificial intelligence machine learning rlang information technology Texas Scientific Python Developer, computational image analysis (100% Remote) || No H1B [email protected] |
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| Tue Nov 26 01:12:00 UTC 2024 |