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Overnight Computational Engineering Jobs (NOW HIRING)

... data engineering applications. * Collaborate with other ML/AI engineers and relevant partners to ... overnight/weekend travel. Minimum Qualifications * Ph.D. in Statistics, Computational Biology ...

Sr. AI Engineer - Life Sciences

San Diego, CA · On-site

$110K - $152K/yr

... data engineering applications. * Collaborate with other ML/AI engineers and relevant partners to ... overnight/weekend travel. Minimum Qualifications * Ph.D. in Statistics, Computational Biology ...

... overnight/weekend travel. Minimum Qualifications * Ph.D in Statistics, Computational Biology ... Strong programming ability with demonstrated experience in Python and one or more associated ...

... overnight/weekend travel. Minimum Qualifications * Ph.D in Statistics, Computational Biology ... Strong programming ability with demonstrated experience in Python and one or more associated ...

... overnight/weekend travel. Minimum Qualifications * Ph.D in Statistics, Computational Biology ... Strong programming ability with demonstrated experience in Python and one or more associated ...

Typical duties include engineering designs and analyses to size structure components and ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

Typical duties include engineering designs and analyses to size structure components and ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

Typical duties include engineering designs and analyses to size structure components and ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

Typical duties include engineering designs and analyses to size structure components and ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

Typical duties include engineering designs and analyses to size structure components and ... Geometric and computational proficiency. * Ability to communicate in technical writing and ...

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Overnight Computational Engineering information

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$48.5K

$121.5K

$137.5K

How much do overnight computational engineering jobs pay per year?

As of Jun 17, 2026, the average yearly pay for overnight computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What can you do with a computational engineering degree?

A computational engineering degree prepares individuals for roles involving modeling, simulation, and analysis of complex systems across industries such as aerospace, automotive, energy, and technology. Graduates often work as engineers, data analysts, or software developers, utilizing programming languages like Python or MATLAB and tools such as finite element analysis or computational fluid dynamics. The degree also provides a foundation for research, development, and technical problem-solving in multidisciplinary environments.

What is the difference between Overnight Computational Engineering vs Data Scientist?

AspectOvernight Computational EngineeringData Scientist
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentEngineering teams, data centers, or research labs with overnight shiftsOffice or remote, primarily daytime but some night shifts possible
Industry UsageTechnology, aerospace, finance, and research sectorsTech, finance, healthcare, and marketing industries
Common Search/ComparisonOvernight Computational Engineering vs Data Scientist

Overnight Computational Engineering focuses on developing and maintaining computational models and simulations during overnight shifts, often requiring engineering or computer science backgrounds. Data Scientists analyze large datasets to extract insights, typically working during regular hours. While both roles involve data and programming, their work environments, credentials, and industry applications differ, making this comparison useful for those exploring overnight technical roles versus data analysis careers.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, petroleum engineering, and certain senior roles in aerospace or financial technology can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or performance bonuses.

Can computer engineers make $500,000?

Computer engineers, including those in specialized fields like computational engineering, can potentially earn $500,000 or more annually, especially with advanced skills, experience, leadership roles, or working in high-paying industries such as finance or technology. Achieving this level often requires a combination of expertise, advanced degrees, certifications, and sometimes working in senior or executive positions.

Do engineers do night shifts?

Overnight computational engineers often work night shifts, especially in roles that require 24/7 coverage or support for critical systems. Such schedules may involve working during late hours or overnight to ensure continuous operation, depending on the company's needs and project deadlines.
What cities are hiring for Overnight Computational Engineering jobs? Cities with the most Overnight Computational Engineering job openings:
What are the most commonly searched types of Computational Engineering jobs? The most popular types of Computational Engineering jobs are:
What states have the most Overnight Computational Engineering jobs? States with the most job openings for Overnight Computational Engineering jobs include:

Sr. AI Engineer - Life Sciences

Exactsciences

San Diego, CA

$110K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Help us change lives

At Exact Sciences, we're helpingchange how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you're working to help others.

Position Overview

The Sr. Machine Learning Engineer, with minimal guidance from more experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to 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:

  • Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences.
  • Develop perspectives on "AI 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 discover and refine 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 design 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 implement and deploy ML and AI solutions.
  • Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions.
  • Contribute to 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.
  • Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
  • 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.
  • 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 apply strong communication skills and to explain difficult, sensitive, and/or 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 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.
  • 3+ years of experience with artificial intelligence and machine learning algorithms.
  • Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
  • Demonstrated knowledge and experience using 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 knowledge and experience with 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 of and experience working with open-source AI models.
  • 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

  • 2+ years of life sciences industry experience working with biological data.
  • 2+ 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
#LI-CB1

Salary Range:

National Ranges: $123,000- $209,000

California Ranges: $152,000.00- $228,000.00

The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. In addition, this position is bonus eligible.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.