Postdoctoral Fellow, Computer Vision

AbbVie

  • North Chicago, IL
  • $73,000-138,500 per year
  • Permanent
  • Full-time
  • 16 days ago
Company DescriptionAbbVie'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 . Follow @abbvie on , , , , and .Job DescriptionProgram OverviewAbbVie needs outstanding individuals willing to challenge themselves to find the best solutions for our patients. The AbbVie Postdoctoral Program is one way we are doing just that. AbbVie Postdoctoral Fellows serve as technical experts who investigate, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt literature to accomplish assignments, and should have mastery of a range of experimental techniques and data analysis specific to their area of expertise.The Postdoctoral Program supports investigational and experimental research where publication is an important component. Participants will be mentored by renowned industry scientists and collaborators at AbbVie and focus on delivering cutting-edge advancements in Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process.We are seeking scientists from U.S.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the opportunity to build a solid career foundation in the pharmaceutical industry while contributing to advancing human health through AbbVie's industry-leading biopharmaceutical pipeline.Role OverviewAt AbbVie, Preclinical Safety (PCS) is responsible for creating and executing development plans that support novel drug candidates from nonclinical testing through first-in-human, registration, and post-marketing phases. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image analyses in nonclinical drug development.The postdoctoral role involves designing and implementing algorithms for anomaly detection, segmentation, and classification to contribute to the development of accurate and efficient AI-assisted digital pathology readouts. The ideal candidate will possess a strong background in computer science, engineering, or a related field, with emphasis on computer vision and deep learning. Strong analytical skills, a track record of publication in high-impact journals, and an ability to work collaboratively within a multidisciplinary team is essential.Key Responsibilities
  • Generate new research strategies to effectively address the needs of the postdoc project
  • Collaborate with functional and technical experts to facilitate scientific achievement
  • Maintain a high level of productivity and autonomy in the laboratory setting
  • Effectively write and communicate research materials
  • Resolve research hurdles by effectively utilizing available information, resources, and technical expertise
  • Proactively seek out new information in the literature and incorporate this into individual project(s) as well as the overall program
  • Publish research in peer-reviewed journals and present work at scientific conferences aligned with business objectives
  • Demonstrate a high degree of responsibility in maintaining scientific standards and safe laboratory practices
QualificationsBasic Qualifications
  • PhD in Computer Science, Biomedical Engineering, Pathology Informatics, or a related field, with emphasis on computer vision and machine learning (summer and fall graduates are also welcome to apply)
  • Proficiency in programming languages such as Python and C++, as well as experience with machine learning frameworks like TensorFlow or PyTorch
  • Familiarity with image processing libraries and a solid grasp of deep learning models, including large vision models
  • Record of scientific initiative and creativity in research or development activities
  • Capable of independently designing and executing experiments, interpreting data, and identifying appropriate follow-up strategies
  • Excellent project management skills. Ability to multitask and work within timelines
  • Ability to resolve key project hurdles and assumptions by effectively utilizing available information and technical expertise
  • Demonstrated scientific writing skills and strong verbal communication skills
  • Global mindset to thrive in a diverse culture and environment
Preferred Qualifications
  • Research experience with unsupervised and weakly supervised CNN and RNN architectures such as GANs, contrastive Learning, multiple instance learning, and transformer models
  • Experience with representation learning and explainable AI solutions
  • Subject matter expertise in foundation model(s)
  • Familiarity with commercially available digital pathology software (e.g., Visiopharm, HALO, Patholytix)
  • Knowledge regarding machine learning operations (MLOps) principles
  • Experience in curating and analyzing large-scale biomedical datasets
Key Leadership Competencies
  • Builds strong relationships with peers and cross functionally with partners outside of team to enable higher performance
  • Learns fast, grasps the "essence" and can change course quickly where indicated
  • Raises the bar and is never satisfied with the status quo
  • Creates a learning environment; open to experimentation and suggestions for improvement
  • Embraces the ideas of others, nurtures innovation, and manages to reality
Candidates progressing to the final round of the interview process will be asked to provide three letters of recommendation (including one from the Thesis Advisor) and a letter of intent to pursue the postdoctoral position.Additional InformationApplicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​​The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​​ Salary: $73,000 - $138,500We 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 incentive programs. ​​Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.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, visitUS & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

AbbVie