Associate Scientist II, Computational Pathology

AbbVie's mission is to discover and deliver innovative medicines and solutions 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, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. 

Key Responsibilities

• Hypothesize, analyze, visualize & interpret complex large multi-dimensional data.
• Curate data to train & validate pathology machine learning models.
• Architect, develop & maintain digital pathology infrastructure.
• Mange, quality check, organize digital pathology data.
• Optimize, automate & document workflows to improve efficiency.
• Provide guidance &  training to fellow colleagues.

Education & Experience

Must have a Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Industrial Engineering, Bioinformatics, Mathematics, Physics, or a related field, & 1 year programming in Python, Matlab &/or R.

Of experience required, must have 1 year in each of the following:

1. visualizing large multi-dimensional data using the following 2 Python packages: seaborn & matplotlib;

1. using either JPM or PRISM statistical software to perform statistical analysis on large datasets;

1. using at least 1 of the following: Python (including scipy, scikit-learn), MATLAB, or R statistical programming language to perform statistical analysis on large datasets;

1. building machine learning models including ensemble models,& kernel-based models;

(v)        utilizing dimensionality reduction techniques including PCA, LDA, SVD & self-organizing maps; &

(vi)         applying all of the above to pathology images & associated metadata.

Of experience required, must have 6 months of experience in:

1. using 1 of the following digital pathology tools: Visiopharm, Halo, QuPath or Napari; &
2. utilizing AWS s3 buckets & automating using script integration.

Work experience may be gained concurrently.

Hybrid (onsite 3 days a week/ 2 days WFH)

Salary Range: $98,565.12 - $107,500.00 per year.

Apply online at https://careers.abbvie.com/en or send resume to Job.opportunity.abbvie@abbvie.com. Refer to Req ID: REF43648D. 

----------------------------------------------------------------------------

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.  This job is eligible to participate in our short-term and long-term incentive programs.

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.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html