Experienced Data Scientist for Life Sciences - Computer Vision, AI, and Image Analysis for Biomanufacturing Processes (Remote)

Unlock Your Potential as a Data Scientist at Beckman Coulter Life Sciences Beckman Coulter Life Sciences, a part of Danaher’s Life Sciences companies, is on a mission to empower those seeking answers to life's most critical scientific and healthcare questions. With a rich legacy spanning over 80 years, we have established ourselves as a trusted partner to our customers, who are working tirelessly to transform science and healthcare through groundbreaking discoveries. As a member of our team of more than 2,900 associates across 130 countries, you will play a vital role in driving our vision of accelerating answers and our commitment to excellence. About the Role We are currently seeking an experienced Data Scientist to join our cross-disciplinary team of lab and data scientists. As a Data Scientist, you will be at the forefront of developing computer vision tools for cell characterization in biomanufacturing processes. This is an exciting opportunity to apply your skills and expertise in a fast-paced, innovative environment and contribute to the development of lifesaving medicines. Key Responsibilities Development of Image Processing Techniques: Design and implement image processing techniques to extract valuable biological insights from microscope images of cells, including definition of training and inferencing pipelines. Monitoring and Maintenance: Monitor and maintain inferencing pipelines deployed in the field to ensure seamless execution and optimal performance. Implementation of Image Analysis Toolbox: Robustly implement the internal image analysis toolbox for team use, with clear documentation and unit testing to facilitate collaboration and knowledge sharing. Data Management: Support broader data management activities, including image dataset curation and pre-processing, to ensure data quality and integrity. Reporting and Collateral: Prepare reports to support Quality Assurance and marketing collateral, communicating complex data insights effectively to various stakeholders. Essential Qualifications To be considered for this role, you must possess: A first degree in Computer Science with formal software engineering training, providing a solid foundation in computer science principles and software development methodologies. A postgraduate qualification in Data Science with a significant Artificial Intelligence component, demonstrating your expertise in data science and AI. More than 1 year of experience working in computer vision and using standard libraries such as Tensorflow and/or Pytorch, opencv, and scikit-learn, showcasing your proficiency in computer vision and AI. More than 2 years of software engineering experience working with Python, highlighting your ability to develop efficient and effective software solutions. More than 2 years of experience with DBMS and query languages, particularly SQL, demonstrating your ability to manage and analyze large datasets. Preferred Qualifications While not essential, the following qualifications would be a significant advantage: Previous experience working in an interdisciplinary environment with Biomedical or Life Sciences data and colleagues, showcasing your ability to collaborate effectively with diverse stakeholders. Skills and Competencies To succeed in this role, you will need to possess: Strong programming skills in Python and experience with relevant libraries such as Tensorflow, Pytorch, opencv, and scikit-learn. Excellent data analysis and problem-solving skills, with the ability to extract insights from complex data sets. Effective communication and collaboration skills, with the ability to work with cross-functional teams and communicate complex ideas to various stakeholders. A strong understanding of computer vision and AI principles, with the ability to apply these to real-world problems. Career Growth Opportunities and Learning Benefits At Beckman Coulter Life Sciences, we are committed to providing enriching careers and opportunities for growth and development. As a Data Scientist, you will have the opportunity to work on challenging projects, collaborate with experts in the field, and develop your skills in a fast-paced, innovative environment. Our commitment to excellence and our passion for accelerating answers will provide you with a stimulating and supportive work environment that fosters career growth and development. Work Environment and Company Culture We recognize the benefits of flexible, hybrid working arrangements and are committed to providing a work environment that is inclusive, collaborative, and supportive. This position is eligible for a hybrid work arrangement, allowing you to work part-time at our company location and part-time remotely from your home. Our company culture values diversity and promotes an environment where everyone can thrive and contribute their unique perspectives. Compensation, Perks, and Benefits We offer a competitive salary and a comprehensive benefits package that reflects our commitment to our employees' well-being and success. Our benefits include opportunities for career growth and development, flexible working arrangements, and a collaborative and inclusive work environment. Join Our Team If you are a motivated and experienced Data Scientist looking to make a meaningful contribution to the life sciences industry, we encourage you to apply now. We are excited to review your application and discuss how your skills and expertise can help drive our vision of accelerating answers. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace, and throughout the markets we serve. Our associates, customers, and shareholders contribute unique and different perspectives as a result of these diverse attributes. We are committed to creating an inclusive environment where everyone can thrive and contribute their best work. Ready to take the next step in your career? Apply now and join our team of innovators and experts in the life sciences industry! Apply for this job