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Machine Learning Engineer Biotech Jobs in Orem, UT

... machine learning and analytical systems applied to design information and user behavior. • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

POSITION SUMMARY The DSP/Firmware Engineer role at AtlasIED involves the development of embedded ... Basic knowledge of core machine learning concepts * Experience with real-time audio processing and ...

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior * Collaborate with ...

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

Data Engineer

Draper, UT

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

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Machine Learning Engineer Biotech information

See Orem, UT salary details

$27.4K

$111.9K

$168.2K

How much do machine learning engineer biotech jobs pay per year?

As of Jun 22, 2026, the average yearly pay for machine learning engineer biotech in Orem, UT is $111,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,800.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are the most commonly searched types of Machine Learning Engineer Biotech jobs in Orem, UT? The most popular types of Machine Learning Engineer Biotech jobs in Orem, UT are:
What are popular job titles related to Machine Learning Engineer Biotech jobs in Orem, UT? For Machine Learning Engineer Biotech jobs in Orem, UT, the most frequently searched job titles are:
Engineering Division - Draper - Vice President, Systems Engineering - 389899

Engineering Division - Draper - Vice President, Systems Engineering - 389899

Goldman Sachs, Inc.

Draper, UT • On-site

$168K - $216K/yr

Other

Posted 6 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Job Duties: Vice President, Systems Engineering with Goldman Sachs Services LLC in Draper, Utah. Apply expertise across engineering, including datacenter design, networks, storage, grid compute, operating systems, databases, communications, market data and software languages. Oversee the design and build out of the firm's computer and data infrastructure, including identification of internal hardware and implementation of public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications. Oversee the creation of automated testing processes, standards, solutions and tools to ensure smooth operation of the firm's businesses. Leverage data mining and machine learning expertise to identify and react to problems in the firm's infrastructure and platforms. Oversee the identification, analysis, and resolution of application issues by documenting repetitive error resolutions and minimizing operational errors. Track and manage application health and ensure application service performance. Manage risk and cost in the production environment and change management process. Improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends. Manage production incidents and communicate with users, applications owners, vendors, and internal and external stakeholders. Develop sustainable systems and services through automation, performance tuning and database queries. Oversee business continuity planning and disaster recovery and plan appropriate contingency plans.

Job Requirements: Bachelor's degree (or U.S. equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field. Employer will accept bachelor's degree equivalent based on single degree, combination of degrees, or combination of degree(s) and professional work experience, where determined to be equivalent to U.S. bachelor's degree by a qualified credential evaluation service. Five (5) years of experience in the job offered or a related role. Prior employment must include five (5) years of experience with: performance tuning and troubleshooting application issues utilizing Oracle, code debugging, or log analysis; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as DB2 or Sybase ASE; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery; and performing systems management for Windows platforms such as Microsoft Configuration Manager or comparable enterprise systems management products.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.


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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869