Senior Scientist, Image Data Analytics, Data Science & Scientific Informatics

Key Skills

Apache Hadoop, Big Data Technology, C++, CUDA/GPU programming, Data Mining, Data science techniques, Deep Learning, Java Programming, Keras software library, MxNet, Python Programming, PyTorch, R Programming, SPARK Programming, SQL, Statistics, TensorFlow

Job Description

Our team is a diverse collection of scientists and engineers working towards the same goal – enabling and accelerating the next generation of pharmaceutical sciences. We partner closely with laboratory and in-silico scientists, proposing and implementing innovative solutions that enable new organizational capabilities.

Scientists in the Image Data Analytics Team within the Data Science and Scientific Informatics department of Research and Development Sciences IT (RaDS-IT) organization of R&D-IT focuses on developing techniques for quantitative analysis of multi-dimensional images to assist the assessment of studies on the safety and efficacy properties of drug candidates. The team works on a wide range of modalities, including histology, CT, MRI, PET, and florescence microscopy, as well as related modalities such as mass spectrometry and flow cytometry. A successful applicant will apply image processing, signal processing, computer vision, machine learning, and data mining techniques to extract and automate the extraction of meaningful information from these high-dimensional, multi-modality datasets. The position will collaborate with scientists and engineers across the entire breadth of the pharmaceutical pipeline, from discovery to clinical assessment. The position presents an opportunity to apply cutting-edge data science techniques to an emerging field with exciting and impactful applications in drug discovery and development.

Education:

• B.S. in Electrical Engineering, Computer Science, Biomedical Engineering, Data Science, Bioinformatics, Applied Mathematics, or Statistics with 10+ years of experience.
• M.S. with 5+ years or PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, Data Science, Bioinformatics, Applied Mathematics, or Statistics.

Qualifications:

• Solid knowledge and hands-on experience in areas such as machine learning, pattern recognition, data mining, image processing, computer vision, signal processing, and statistics
• Experience in biomedical image processing in a medical, healthcare and/or pharmaceutical domain
• Fluency in at least one programming language, e.g. python, R, C++, java
• Demonstrated ability to engage research scientists in many fields, including an eagerness to acquire a level of domain knowledge
• Manage project schedule, communicate with collaborators, and deliver results on a timely basis with high level of self-direction and discipline
• Conduct research and apply proper mathematical and computation tools to move projects forward independently or with proper guidance from senior team members
• Identify opportunities for new collaborations, engage collaborators, identify business needs and values, and propose and make plans for proper solutions
• Provide guidance and mentorship for junior employees and inexperienced collaborators within and outside the organization
• Identify opportunities for innovations and execute
• Ability to write scientific report and research articles and conduct scientific presentations
•  Excellent team player
• Excellent verbal and written communication skills

Preferred:

• Experience in handling histology images, e.g. H&E, IHC
• Experience in handling radiology images, e.g. CT, MRI, PET
• Experience in deep learning packages such as PyTorch, TensorFlow, Keras, MXNet
• Experience in high performance computing, GPU computing, and Cloud computing
• Knowledge in bioinformatics and genomics
• Experience with big data tools e.g. Hadoop, Spark
• Publication history in related fields

Our Support Functions deliver services and make recommendations about ways to enhance our workplace and the culture of our organization. Our Support Functions include Human Resources, Finance, Information Technology, Legal, Procurement, Administration, Facilities and Security.