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Contract Machine Learning Engineer Biotech Jobs in Auburn, CA

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI framework usage including TensorFlow and/or PyTorch. * Reinforcement Learning and/or Generative AI ...

Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI framework usage including TensorFlow and/or PyTorch. * Reinforcement Learning and/or Generative AI ...

Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI framework usage including TensorFlow and/or PyTorch. * Reinforcement Learning and/or Generative AI ...

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$119K - $286K/yr

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and sophisticated data analytics solutions for ...

New

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine learning ...

... traditional machine learning approaches, choosing the right tool for each problem and leads ... contracts, specs, and safety plans, schedule risk forecasting, equipment optimization, and bid ...

Applied AI Engineer

Sacramento, CA · On-site

$117K - $141K/yr

... traditional machine learning approaches, choosing the right tool for each problem and leads ... contracts, specs, and safety plans, schedule risk forecasting, equipment optimization, and bid ...

This is a contract position. Extension may be considered based on business need and performance ... machine learning models or AI solutions, and translate complex quantitative findings into ...

... machine learning models or AI solutions, and translate complex quantitative findings into ... Collaborates with data engineering to define data ingestion, feature engineering, and model serving ...

Showing results 21-40

Contract Machine Learning Engineer Biotech information

See Auburn, CA salary details

$33.9K

$138.7K

$208.4K

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

As of Sep 4, 2026, the average yearly pay for contract machine learning engineer biotech in Auburn, CA is $138,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $166,900.00 per year, depending on experience, location, and employer.

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

AspectContract Machine Learning Engineer BiotechContract Data Scientist Biotech
CredentialsDegree in Computer Science, Data Science, or related field; experience with ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops ML models, algorithms, and pipelines for biotech applicationsAnalyzes data, builds statistical models, and interprets biological data
Industry UsageUsed in biotech R&D, drug discovery, and personalized medicineApplied in clinical data analysis, biomarker discovery, and research

Contract Machine Learning Engineers focus on developing and deploying ML models specific to biotech challenges, while Contract Data Scientists analyze biological data to extract insights. Both roles require strong technical skills but differ in their primary focus—model development versus data analysis.

Is a contract machine learning engineer biotech a high paying job?

Contract machine learning engineers in biotech typically earn competitive salaries, often higher than permanent roles due to the specialized skills required. Compensation depends on experience, expertise in tools like Python and TensorFlow, and project complexity, but these roles generally offer lucrative pay in the industry.

What cities near Auburn, CA are hiring for Contract Machine Learning Engineer Biotech jobs?

Cities near Auburn, CA with the most Contract Machine Learning Engineer Biotech job openings:

CTIO - AI Engineer- Senior Manager

Pwc

Sacramento, CA • On-site

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Leading the design and development of advanced data solutions to transform raw data into actionable insights

  • Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling

  • Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a CTIO - AI Engineer- Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Internal Firm Services practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. As a Senior Manager, you will utilize your skills and professional network to deliver quality results, motivating and coaching teams to solve complex problems. You will apply sound judgment, recognizing when to take action and when to escalate, while developing and sustaining diverse and inclusive teams.
In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Your ability to validate outcomes with clients, share alternative perspectives, and act on client feedback will be crucial. You will direct teams through complexity, demonstrating composure in challenging situations, and deepen your skills with a focus on staying relevant.
Responsibilities
- Leading the design and development of advanced data solutions to transform raw data into actionable insights
- Driving data-driven decision-making through exploratory and descriptive analysis and statistical modeling
- Managing complex data analysis and creating data visualizations to solve business problems and inform strategic decisions
- Overseeing the implementation of machine learning algorithms and predictive modeling techniques
- Collaborating with clients to validate outcomes and incorporate feedback into data solutions
- Directing teams through complex projects, maintaining composure in challenging situations
- Applying systems thinking to identify underlying problems and opportunities within data sets
- Coaching and motivating diverse teams to achieve operational excellence in data science initiatives
- Innovating processes to enhance data quality and integrity across analytics frameworks
- Utilizing programming languages and machine learning libraries to optimize data workflows and pipelines
What You Must Have
- At least a Bachelor's degree
- At least 7 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance
- Demonstrating advanced skills in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leading teams through ambiguity with strategic questioning
- Innovating processes with data-driven decision making
- Applying systems thinking to identify opportunities and challenges

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK