Research Associate - Biology - III in Foster City, CA at APEX Systems

Date Posted: 10/9/2019

Job Snapshot

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Job Description

Job #:  1016382
Apex Systems is looking for a Research Associate in Digital Pathology located in Foster City, CA for one of our large biotech clients! If you would like to apply for this opportunity, please reach out to recruiter Ashlyn Hardman at ahardman@apexsystems
Description: Research Associate III, Digital Pathology (CW)
We are seeking a highly motivated image analysis scientist to join the Pathobiology group within the Non-Clinical Safety and Pathobiology Division in support of drug-discovery and development projects.

The successful candidate will work closely with internal and external collaborators to identify and validate novel drug targets and further our understanding of the pathobiology in areas of oncology, fibrosis, virology, and inflammation. Responsibilities will include developing, customizing and executing high-throughput image analysis workflows and generating data presentations in a timely fashion. You will have a background in biological or computational sciences or a related quantitative discipline. Experience with image analysis software (e.g. Halo, Visiopharm, Matlab, Python) and knowledge of image analysis (e.g. filtering signal channels, object segmentation, feature detection and classification). Experience in scripting languages (e.g. Python, Matlab) and neural network approaches is highly desirable.

The successful candidate must be self-motivated and detail-oriented, exhibit excellent organizational and communication skills, demonstrate the ability to manage multiple priorities and work under tight timelines, thrive with a high degree of responsibility, is a proficient team-player in a cross-functional and highly collaborative team environment. Applicants should be able to troubleshoot independently and show curiosity-driven engagement in scientific problems

Essential Duties and Job Functions:
- Conduct high-quality image-based data analysis, and generate detailed reports to support internal decision making
- Evaluate and implement new computational approaches in digital pathology to support the better understanding of histopathological endpoints
- Ensure integrity and deadline-driven timely completion of analysis workflows, data package generation, and report submission

Knowledge, Experience, and Skills:

• Graduate degree (MSc or PhD) in biological science/engineering or in a field related to signal/image processing, pattern recognition, and/or computer vision

• Programming skills and experience with one or more of CellProfiler, Fiji, Python, OpenCV, HALO, Visiopharm or Mathlab is highly desireable

• Experience in deep learning and convolutional neural networks and its applications to image processing and computer vision is desireable

• Experience with whole-slide imaging in support of histopathology data collection and analysis is preferred.

• Specific expertise in predictive modeling using statistical and machine learning methods is a plus.

• Experience in manipulating and analyzing large internal, public and commercial datasets with visualization is a plus

• Familiarity with cell biology and microscopy is a plus
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178-6178.