Associate Scientist II, Digital Pathology / Computational Analysis
- Employer
- AbbVie
- Location
- South San Francisco, California
- Start date
- Sep 28, 2023
View more
- Discipline
- Information Technology, Science/R&D, Biotechnology, Pathology
- Required Education
- Bachelors Degree
- Position Type
- Full time
- Hotbed
- Biotech Bay, Best Places to Work
Job Details
AbbVie Precision Medicine Pathology is committed to driving tissue based translational and biomarker efforts for our pre-clinical and clinical stage programs. We are seeking a highly motivated computational scientist with expertise in statistical analysis and machine learning to join the computational pathology group. They should enjoy working in a fast-paced, dynamic, and highly interactive environment.
In this role, you will be supporting the computational pathology team in hypothesis testing, statistical analysis, data visualization and building AI models. You will have a unique chance to develop cutting edge infrastructure and automation tools for digital pathology workflows.
Responsibilities:
• Assist digital pathology scientists with hypothesis testing and statistical analysis of high dimensional data. Create visualizations that help understand and interpret the complex high dimensional data.
• Work closely with scientists and collaborators to develop AI models for complex computational pathology tasks. Select data for training/testing of the AI models and evaluate performance of the models.
• Assist in architecting, developing, and validating digital pathology infrastructure solutions for large file management and seamless data flow.
• Lead data management and tracking activities such as receiving images and metadata from different sources, quality check, organization, and reconciliation activities.
• Lead workflow optimization and automation efforts.
• Effectively communicate and present learnings to a diverse audience. Train fellow scientists on the new digital pathology and workflow automation tools and write SOPs.
Qualifications:
- Degree in computer science, electrical engineering, biomedical engineering, bioinformatics, mathematics, physics or equivalent education with typically a BS and 0-3+ years of experience or MS and 0+ years of experience.
- Strong python scripting experience in writing clean and scalable code is a must. Experience with python packages such as pandas and numpy along with python statistical packages such scipy or R is required.
- Experience with data visualization software such as JMP, PRISM; data visualization python packages such as seaborn, matplotlib, etc. is required.
- Understanding of statistical significance tests is a must. Experience with basic machine learning algorithms (logistic regression, random forests, regression, SVM etc.) and python packages (scikit-learn) and/or R is preferred. Understanding of dimensionality reduction algorithms such as PCA, LCA, SVD, UMAP, t-SNE, etc. is a nice to have.
- Experience with digital pathology image analysis software such as Halo, Visiopharm, QuPath etc. is a nice to have.
- Experience with AWS - S3 buckets, EC2 instances and other high computing platforms is a nice to have.
- A suitable candidate should be able to work independently within a team setting, pay attention to detail, should demonstrate strong verbal and written communication skills, should be comfortable with shifting priorities, flexible, collaborative and positive.
AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
Company
AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, and YouTube.
Stock Symbol: ABBV
Stock Exchange: NYSE
- Website
- http://www.abbvie.com/
- Phone
- 1-800-255-5162
- Location
-
1 North Waukegan Road
North Chicago
Illinois
60064
US
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