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Remote Machine Learning Engineer Biotech Jobs in Fayetteville, NC

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Data Engineer

Fayetteville, NC · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0236980 Location: Fayetteville,NC,US Share job via: Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and artificial ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0239248 Location: Fayetteville,NC,US Share job via: Share Data ... Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243800 Location: Fayetteville,NC,US Share job via: Share Data ... Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246011 Location: Fayetteville,NC,US Share job via: Share Data ... Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating ...

Data Engineer

Fayetteville, NC · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241674 Location: Fayetteville,NC,US Share job via: Share Data ... Machinery, you'll deliver robust, scalable data products that drive Army readiness and success.

Data Engineer

Fayetteville, NC · On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0246870 Location: Fayetteville,NC,US Share job via: Share Data ... Machinery, you'll deliver robust, scalable data products that drive Army readiness and success.

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Showing results 1-20

Remote Machine Learning Engineer Biotech information

See Fayetteville, NC salary details

$28.9K

$118.3K

$177.8K

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

As of Aug 15, 2026, the average yearly pay for remote machine learning engineer biotech in Fayetteville, NC is $118,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $142,400.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote machine learning engineers in biotech, and how can they be addressed?

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Fayetteville, NC look for?

The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Fayetteville, NC are:

What cities near Fayetteville, NC are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Fayetteville, NC with the most Remote Machine Learning Engineer Biotech job openings:

Data Scientist

Booz Allen Hamilton, Inc.

Fayetteville, NC • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0246027
Location:
Fayetteville,NC,US
Share job via:
Share
Data Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by machine learning and artificial intelligence. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information and help solve challenges facing decision-makers in the special operations community.
On our team, you'll use your expertise to support intelligence professionals conducting intelligence operations in support of the nation's most critical missions. You'll work closely with clients to understand their needs and use your knowledge to shape the modernization of support to special operators across the globe. You'll guide the team in the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
  • 5+ years of experience in data science or machine learning engineer roles
  • Experience with Python and ETL
  • Experience with Scikit-Learn, TensorFlow, PyTorch, and XGBoost
  • Experience with Jupyter Notebook, Pandas, NumPy, or Git
  • Experience selecting, training, evaluating, and tuning machine learning or deep learning algorithms
  • Experience with tuning-LLMs and computer vision models
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • TS/SCI clearance
  • Bachelor's degree in data or computer science

Nice If You Have:
  • Experience supporting special operations or intelligence communities
  • Experience in the development of algorithms leveraging R or SQL
  • Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914