Senior AI/ML Engineer – Life Science

Abbott

. Lead planning and execution of highly complex machine learning projects .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $99,300 - $198,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading complex machine learning projects, applying advanced AI algorithms to healthcare data, and providing technical leadership in AI strategy development. Proficient in mentoring teams and fostering innovation in biostatistics and bioinformatics.

Highest-signal resume keywords

Ph.D. In Statistics, Computational Biology, Computer Science5+ Years Experience In Artificial Intelligence And Machine LearningMastery Of Artificial Neural Networks And Deep LearningStrong Programming Ability With Python And ML FrameworksExpertise In Healthcare Data Mining

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsArtificial Intelligence TechniquesDeep LearningNatural Language ProcessingImage ProcessingComputer VisionLarge Language ModelsPython ProgrammingTensorFlowPyTorch

Soft Skills

Excellent Communication SkillsMentoring And CoachingAnalytical JudgmentProblem Solving

Tools & Technologies

ML FrameworksOpen-Source AI ModelsML-OpsML Model Versioning

Industry Keywords

BioinformaticsBiostatisticsCancer DiagnosticsHealthcare DataMolecular Diagnostics

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Lead planning and execution of highly complex machine learning projects
Apply advanced AI and ML algorithms to biological, genomic, clinical, and healthcare data in advanced cancer screening and precision oncology
Provide technical leadership across ideation, design, implementation, and deployment
Develop perspectives on AI technology affordances
Identify, refine, prioritize, and formalize requirements for ML- and AI-based solutions
Lead design, implementation, and deployment of AI/ML software solutions
Establish an Agile framework for iterative rapid solutions
Help develop Exact Sciences’ AI strategy for bioinformatics, biostatistics, and data science
Lead initiatives to build training resources, knowledge bases, and education on advanced AI/ML technologies
Lead AI evangelism for biostatistics, bioinformatics, and data science
Solve complex problems using sophisticated analytical judgment and innovative solutions
Mentor and coach junior team members
Act as a subject matter expert in core and cross-functional meetings
Contribute innovative ideas to the intellectual property portfolio
Support the company Quality Management System and uphold company mission and values

Requirements

What you’ll need

Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field, or Master’s Degree in one of these fields plus 4 years of relevant experience
5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field
5+ years of experience with artificial intelligence and machine learning algorithms
Demonstrated mastery of artificial neural networks, deep learning, and reinforcement learning
Demonstrated mastery of AI/ML techniques in natural language processing, image processing and computer vision, or image and pattern recognition
Demonstrated mastery of large language models for generative AI, transformer architecture, and retrieval augmented generation
Strong programming ability with Python and one or more ML frameworks such as TensorFlow, PyTorch, or SKLearn
Knowledge and experience working with open-source AI models
Excellent communication skills and ability to explain complex topics to varied audiences
Ability to perform essential duties with or without accommodation
Authorization to work in the United States without sponsorship
Preferred: 8+ years of life sciences industry experience with biological data
Preferred: 8+ years of industry experience in molecular diagnostics, preferably cancer diagnostics
Preferred: Expertise in healthcare data mining
Preferred: Basic knowledge of ML-Ops and ML model versioning and deployment
Preferred: Scientific understanding of cancer biology
Ability to work designated schedule and maintain regular, reliable attendance
Ability to work on a mobile device, tablet, or computer screen and type for approximately 85% of a typical working day
Ability to travel 5% of working time, potentially including overnight/weekend travel

Benefits

Comp & perks

Ability to work remotely from an individual office exception-approved arrangement
Travel at 5% of working time
Equal Opportunity Employer