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Genetic Engineering Jobs in Tennessee (NOW HIRING)

... 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 ...

Job Title Engineering Technician II Under limited supervision, this role requires a combination of ... genetic information, veteran status, or any other status protected by law or regulation. If you ...

... genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the ...

... genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the ...

... genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the ...

... genetic information, protected Veteran status, or any other characteristic protected by federal and state law. For more information regarding your (EEO) rights as an applicant, please visit the ...

Job Title Engineering Technician II Under limited supervision, this role requires a combination of ... genetic information, veteran status, or any other status protected by law or regulation. If you ...

Industrial Engineer

La Vergne, TN · On-site

$66K - $89K/yr

In this role, you will work closely with engineering and production teams to improve efficiency ... education, genetic characteristics or information, political affiliation, military or veteran ...

Industrial Engineer

La Vergne, TN

$66K - $89K/yr

In this role, you will work closely with engineering and production teams to improve efficiency ... education, genetic characteristics or information, political affiliation, military or veteran ...

Showing results 41-60

Genetic Engineering information

See Tennessee salary details

$42.2K

$133.3K

$157.9K

How much do genetic engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for genetic engineering in Tennessee is $133,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $157,000.00 per year, depending on experience, location, and employer.

Is genetic engineering a good career?

Genetic engineering is a growing field that offers opportunities in research, biotechnology, and healthcare. It typically requires a strong background in biology, chemistry, and laboratory skills, with advanced degrees often necessary for research positions. The field is expected to expand as advancements in gene editing and personalized medicine continue.

What is the difference between Genetic Engineering vs Molecular Biologist?

AspectGenetic EngineeringMolecular Biologist
Required CredentialsTypically a Bachelor's or Master's in Genetics, Biotechnology, or related fieldsUsually a Bachelor's, Master's, or Ph.D. in Molecular Biology or related disciplines
Work EnvironmentLaboratories, biotech companies, research institutionsResearch labs, academic institutions, healthcare settings
Employer & Industry UsageBiotech firms, pharmaceutical companies, agricultural companiesUniversities, research institutes, healthcare organizations

Genetic engineers focus on modifying DNA to develop new products or improve existing ones, often working on practical applications. Molecular biologists study the molecular mechanisms of biological processes, conducting fundamental research. While both roles require similar educational backgrounds and work environments, genetic engineering is more application-driven, whereas molecular biology emphasizes understanding biological systems.

What are the qualifications to get a genetic engineering job?

The qualifications needed for a genetic engineering job include at least a bachelor’s degree in genetics, biochemistry, or a related field. Many employers prefer several years of experience and a Ph.D., particularly for positions in research and development. Many individuals start their careers as members of a team working on a long-running experiment. To find a job at a university, you may need to publish your research in the scientific literature first to demonstrate your expertise. Excellent analytical and critical thinking skills are imperative. You also need patience and perseverance. Computer proficiency and a strong background in biostatics are essential for fulfilling your publishing responsibilities. Your duties also involve staying current by attending and presenting at conferences.

What are the key skills and qualifications needed to thrive as a genetic engineer, and why are they important?

To thrive as a Genetic Engineer, you need a solid background in molecular biology, genetics, and biotechnology, often supported by a degree in a related field. Familiarity with laboratory techniques such as CRISPR, PCR, DNA sequencing, and bioinformatics software is typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for advancing research, ensuring experiment accuracy, and developing innovative solutions in genetic science.

What is genetic engineering?

Genetic engineering is a branch of biotechnology that involves directly manipulating an organism's DNA to alter its characteristics or introduce new traits. Scientists use various techniques, such as CRISPR or recombinant DNA technology, to add, remove, or modify specific genes within an organism. This technology is widely used in agriculture to create genetically modified crops, in medicine for gene therapy, and in research for understanding gene functions. Genetic engineering has the potential to address challenges in food production, disease treatment, and industrial biotechnology, but it also raises ethical and safety concerns.

What are some common challenges faced by professionals in genetic engineering roles?

Professionals in genetic engineering often face challenges such as staying updated with rapidly evolving technologies, adhering to strict regulatory and safety protocols, and troubleshooting unexpected experimental results. Collaboration is key, as genetic engineers frequently work with multidisciplinary teams including biologists, chemists, and bioinformaticians to achieve successful project outcomes. Additionally, balancing lab work with documentation and compliance requirements is essential for advancing both research and product development.

What are the most commonly searched types of Genetic Engineering jobs in Tennessee?

The most popular types of Genetic Engineering jobs in Tennessee are:

What are popular job titles related to Genetic Engineering jobs in Tennessee?

For Genetic Engineering jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Genetic Engineering jobs?

Cities in Tennessee with the most Genetic Engineering job openings:

Infographic showing various Genetic Engineering job openings in Tennessee as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $133,300 per year, or $64.1 per hour.

CTIO AI Engineering Manager

Pwc

Nashville, TN

$73K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 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

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will manage client relationships and confirm project deliverables meet expectations. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding remarkable standards of quality and innovation in deliverables.
Responsibilities
- Work with cross-functional teams to incorporate AI into various applications
- Drive initiatives that enhance project outcomes through creative strategies
- Identify and utilize opportunities for advancements in technology
- Inspire and motivate team members to excel in their contributions
- Uphold exceptional standards of quality and innovation in deliverables
- Foster an environment that encourages continuous improvement and learning
What You Must Have
- Bachelor's Degree
- 5 years of experience in AI engineering or related field
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Designing, training, and deploying machine learning models
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Managing CI/CD pipelines for AI systems using GitHub Actions
- Implementing vector databases and orchestration tools like LangChain
- Translating complex business problems into software-engineered AI solutions
- Deploying on cloud platforms like AWS, GCP, Azure
- Contributing to open-source projects or AI/ML publication

Travel Requirements

Not Specified

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. 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

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