Cloud AI Engineer - Biostatistics

Qualifications

• A D. in Statistics, Computational Biology, Computer Science, or related quantitative field or Master's degree in Statistics, Computational Biology, Computer Science, or related quantitative field plus 4 years of experience in lieu of a Ph.D
• 3+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties
• Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning
• Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn

Benefits

• Paid time off (including days for vacation, holidays, volunteering, and personal time)
• Paid leave for parents and caregivers
• Retirement savings plan
• Wellness support
• Health benefits including medical, prescription drug, dental, and vision coverage
• An inclusive culture that values diversity and fosters collaboration
• Opportunities for professional growth and development
• Recognition and rewards for outstanding performance
• Comprehensive benefits package

Responsibilities

• As a Senior Machine Learning Engineer at Exact Sciences, you will be instrumental in applying advanced artificial intelligence and machine learning techniques to tackle complex healthcare problems
• In this role, you will work independently and collaboratively with others to design, develop, and deploy machine learning models that drive insights from biological, genomic, clinical, and healthcare data
• Your expertise will contribute significantly to the strategic vision for applying AI methodologies at Exact Sciences, furthering our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment
• Work with stakeholders to identify and refine requirements for ML- and AI-based solutions to business problems focusing on bioinformatics, biostatistics, and data engineering applications
• Collaborate with other ML/AI engineers and relevant partners to design software solutions utilizing state-of-the-art artificial intelligence and machine learning techniques
• Implement and deploy ML and AI solutions with other AI and ML engineers and software engineers working within an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions
• Contribute to the development of an AI strategy empowering the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics, and data science processes and outcomes
• Provide mentorship and coaching to more junior-level team members and exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results

Full Description

Job Summary

Clinical research and data analysis drive our mission to prevent, detect, and treat cancer. As a Senior Machine Learning Engineer at Exact Sciences, you will be instrumental in applying advanced artificial intelligence and machine learning techniques to tackle complex healthcare problems.

About Us

We are a leading molecular diagnostics company that aims to improve patient outcomes through innovative technologies. Our team is passionate about developing cutting-edge solutions that make a tangible impact on people's lives.

The Role

In this role, you will work independently and collaboratively with others to design, develop, and deploy machine learning models that drive insights from biological, genomic, clinical, and healthcare data. Your expertise will contribute significantly to the strategic vision for applying AI methodologies at Exact Sciences, furthering our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.

Responsibilities

• Work with stakeholders to identify and refine requirements for ML- and AI-based solutions to business problems focusing on bioinformatics, biostatistics, and data engineering applications.

• Collaborate with other ML/AI engineers and relevant partners to design software solutions utilizing state-of-the-art artificial intelligence and machine learning techniques.

• Implement and deploy ML and AI solutions with other AI and ML engineers and software engineers working within an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions.

• Contribute to the development of an AI strategy empowering the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics, and data science processes and outcomes.

• Provide mentorship and coaching to more junior-level team members and exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.

Requirements

• A D. in Statistics, Computational Biology, Computer Science, or related quantitative field or Master's degree in Statistics, Computational Biology, Computer Science, or related quantitative field plus 4 years of experience in lieu of a Ph.D.

• 3+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.

• Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.

• Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.

Benefits

• Paid time off (including days for vacation, holidays, volunteering, and personal time)

• Paid leave for parents and caregivers

• Retirement savings plan

• Wellness support

• Health benefits including medical, prescription drug, dental, and vision coverage

What We Offer

• An inclusive culture that values diversity and fosters collaboration

• Opportunities for professional growth and development

• Recognition and rewards for outstanding performance

• Comprehensive benefits package