Abbott

Sr. AI/ML Engineer - Life Science

Abbott • $99K — $198K *
San Diego, CA 92154In-Person
Pharmaceuticals & Biotech
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field, or a Master's degree with 4 years of relevant experience.
  • 5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field.
  • Expert in artificial intelligence and machine learning algorithms with over 5 years of experience.
  • Mastery of advanced AI concepts, including neural networks, deep learning, and reinforcement learning.
  • Strong programming skills in Python with experience in machine learning frameworks like TensorFlow or PyTorch.
  • Experience with large language models and associated AI concepts such as transformer architecture.
  • Excellent communication skills to convey complex ideas to diverse audiences.

Responsibilities

  • Lead the development of technology perspectives on AI 'affordance' for new capabilities.
  • Collaborate with stakeholders to formalize requirements for ML/AI-based business solutions.
  • Provide technical guidance on designing software solutions leveraging state-of-the-art AI techniques.
  • Lead the implementation and deployment of ML and AI solutions with software engineering teams.
  • Establish Agile frameworks to deliver rapid AI technology solutions.
  • Drive the development of a strategic AI vision that enhances bioinformatics and biostatistics processes.
  • Lead initiatives to build training resources on advanced AI and ML technologies.

Benefits

  • Comprehensive health, vision, and dental insurance coverage.
  • Flexible work arrangements including remote work options.
  • 401(k) retirement plan with company matching.
  • Professional development opportunities and mentorship.
  • Generous paid time off and holiday scheduling.
Full Job Description
JOB DESCRIPTION:

Position Overview:

The Sr. Machine Learning Engineer is largely self-driven, working in collaboration with others on one or more projects which are extremely complex in scope. This role is responsible for successfully leading the planning and execution of projects. Working in a team setting, this position applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve complex problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This position provides technical leadership at every step of the solution development process, from ideation, design, implementation and deployment. The Lead Machine Learning Engineer will help craft the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.

Essential Duties
Include, but are not limited to, the following:
  • Lead development of perspectives on technology "affordance": what do these advances in AI technology allow us to do (more efficiently and / or more effectively) that we couldn't do before
  • Work with stakeholders to identify, refine, prioritize and formalize requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.
  • Collaborate with other ML/AI engineers and relevant partners to provide technical and strategic leadership for the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
  • Work with other AI and ML engineers and software engineers to lead the implementation and deployment of ML and AI solutions.
  • Set up Agile framework focused on delivering iterative, "rapid" solutions that demonstrate the promise of selected AI technologies.
  • Provide leadership in the development of an AI strategy at Exact Sciences that empowers 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.
  • Lead internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
  • Lead "AI evangelism" for biostatistics, bioinformatics and data science at Exact Sciences.
  • Assist team to solve complex problems using sophisticated analytical thought to exercise judgement and identify innovative solution
  • Provide mentorship and coaching to more junior level team members.
  • Act as resource and subject matter expert in core team and/or cross-functional meetings.
  • Contribute to the intellectual property portfolio by implementing innovative and creative ideas to solve problems or improve on current methods.
  • Exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.
  • Ability to effectively communicate, influence decision-making, and explain difficult, sensitive, and/or highly complex information to audiences of peers.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work designated schedule.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master's Degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of relevant experience.
  • 5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.
  • 5+ years of experience with artificial intelligence and machine learning algorithms.
  • Demonstrated experience with and mastery of advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
  • Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
  • Demonstrated experience with and mastery of large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
  • Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.
  • Knowledge and experience working with open-source AI models.
  • Excellent communication skills and the ability to explain complex topics to audiences of varied backgrounds.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications
  • 8+ years of life sciences industry experience working with biological data.
  • 8+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
  • Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models.
  • Scientific understanding of cancer biology


The base pay for this position is
$99,300.00 - $198,700.00
In specific locations, the pay range may vary from the range posted.

JOB FAMILY:
Product Development

DIVISION:
ONCO Cancer Diagnostics

LOCATION:
United States > California : Remote

ADDITIONAL LOCATIONS:

WORK SHIFT:
Standard

TRAVEL:
Yes, 5 % of the Time

MEDICAL SURVEILLANCE:
Not Applicable

SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

About Abbott

Abbott Careers

Joining Abbott means becoming part of a globally diverse team dedicated to making a lasting impact on human health. As a leader in healthcare innovation, Abbott provides a dynamic workplace where careers flourish through growth, leadership, and diversity training.

Opportunities at Abbott

Explore a world of opportunities with our team. Whether you're seeking job opportunities in engineering, marketing, research, or healthcare, Abbott offers a variety of positions that allow professionals to grow their careers. Our commitment to diversity and innovation is evident in every aspect of our work, fostering an inclusive culture that values each team member's contribution.

Work You'll Do

At Abbott, every role contributes to our mission of helping people live fuller lives through better health. From groundbreaking research in medical devices to advancements in pharmaceuticals, our team is at the forefront of healthcare innovation. By joining Abbott, you are not just accepting a job; you are embarking on a path of professional and personal growth.

Internship Programs

Kickstart your career with an Abbott internship. Our programs provide invaluable industry experience and a chance to develop essential skills in a real-world setting. Interns at Abbott work on projects that matter, gaining the experience and knowledge necessary to succeed in their future careers.

Professional Development

Abbott is dedicated to the continuous professional development of its employees. With access to cutting-edge technology, leadership programs, and diversity training, our team members are equipped to lead and innovate within the healthcare industry. We support your career journey with robust training programs, mentorship, and opportunities for networking and professional growth.

Benefits and Culture

Our employees enjoy comprehensive benefits designed to support their life and well-being. From health insurance to retirement plans, we ensure our team has everything they need to thrive. Abbott's culture is built on a foundation of respect and integrity, united by a shared commitment to improving health outcomes.

Join Our Team

Discover the impact you can make with a career at Abbott. We are hiring individuals who are passionate, curious, and driven to lead. Search open positions that match your skills and interests on our Jobs page. Prepare your resume, sharpen your interview skills, and get ready to join a team that's at the cutting edge of healthcare solutions.

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Explore Abbott

With a commitment to improving life through innovation, leadership, and diversity, Abbott is a place where you can fulfill your potential. See what exciting and rewarding opportunities await at Abbott by exploring our career opportunities today.

SEARCH ABBOTT JOBS

Join us in our mission to make the world a healthier place through innovation, leadership, and diversity. Your journey to a fulfilling career at Abbott starts here.
Learn more about Abbott
Size
113,000 employees
Market Cap
$189 billion
Industry
Healthcare
Net Income
$4.4 billion
Founded
1944
5 Year Trend
+15.6%
Revenue
$34.6 billion
NASDAQ
ABT
* Ladders Estimates

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