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Remote Machine Learning Engineer Biotech Jobs in Baltimore, MD

Index Analytics

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

This role emphasizes end-to-end development of machine learning and AI systems, including ... Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and ...

BravoTech

Platform Engineering & DevOps

MD · On-site +1

$50.25 - $68.75/hr

Platform Engineer, DevOps & Cloud Operations (Must be US Citizen or Green Card) Join a team ... Experience with Azure AI Foundry and Azure Machine Learning. * Knowledge of Azure data governance ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

SMX

Cleared Hybrid QA Tester/Engineer (5416)

Hanover, MD · On-site +1

$86K - $123K/yr

Test and validate AI-enabled applications, machine learning integrations, and large language model ... Collaborate with developers, full-stack engineers, product owners, and stakeholders to understand ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0232485 Location: Annapolis Junction,MD,US Share job via: Share AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning (ML) is ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton, Inc.

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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All JobsMachine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Baltimore, MD

Remote Machine Learning Engineer Biotech information

See Baltimore, MD salary details

$31.3K

$128K

$192.3K

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 Baltimore, MD is $127,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $154,000.00 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 are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Baltimore, MD?

For Remote Machine Learning Engineer Biotech jobs in Baltimore, MD, the most frequently searched job titles are:

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

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

What cities near Baltimore, MD are hiring for Remote Machine Learning Engineer Biotech jobs?

Cities near Baltimore, MD with the most Remote Machine Learning Engineer Biotech job openings:

Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,950 per year, or $61.5 per hour.

Data Scientist

Index Analytics

Windsor Mill, MD • On-site, Remote

$102K - $144K/yr

Other

Medical, Retirement

Re-posted 22 days ago

Job description

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Index Analytics is seeking a Data Scientist to support Government clients in the Baltimore and Washington D.C. Metro Area. This resource will create value from structured and unstructured data by applying domain knowledge, statistical analysis, and advanced machine learning techniques to solve complex healthcare challenges.
This role emphasizes end-to-end development of machine learning and AI systems, including traditional ML, deep learning, NLP, and modern LLM-based architectures such as Retrieval-Augmented Generation (RAG) and agentic AI systems.
Responsibilities
  • Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches.
  • Build and deploy end-to-end ML pipelines on AWS (e.g., SageMaker, S3, Glue) for scalable training, evaluation, and inference.
  • Develop and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures.
  • Design, build, and productionize RAG (Retrieval-Augmented Generation) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration.
  • Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost.
  • Contribute to agentic AI system design, including multi-step reasoning workflows, tool use, and orchestration of LLM-driven agents for complex tasks.
  • Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data.
  • Perform data mining and exploratory data analysis (EDA) using state-of-the-art techniques across structured and unstructured datasets.
  • Build data visualizations, dashboards, and analytical tools to communicate findings clearly to technical and non-technical stakeholders.
  • Evaluate model performance using appropriate metrics (e.g., accuracy, AUC, precision/recall) and present results in a clear, actionable manner.
  • Collaborate in an Agile environment with cross-functional teams including engineers, analysts, and stakeholders.
  • Recommend data-driven solutions and AI strategies aligned with CMS business needs and healthcare policy objectives.

  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three (3) of the past five (5) years. Must be able to obtain a U.S. Federal government client badge and pass a Public Trust clearance.
  • Master's degree in Computer Science, Data Science, or a related field required; PhD preferred.
  • Three (3) or more years of experience as a Data Scientist or in a similar role.
  • Strong experience in machine learning and statistical modeling, including supervised and unsupervised learning techniques, deep learning, and a solid foundation in probability, hypothesis testing, and regression.
  • Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and related models), embeddings, vector databases, and semantic search systems.
  • Hands-on experience building LLM-powered applications, including prompt engineering, RAG architecture, and ideally agentic workflows or LLM orchestration frameworks, preferably within AWS environments (e.g., Bedrock).
  • Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and data libraries such as pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
  • Strong experience with AWS cloud and MLOps tooling, including SageMaker, S3, Glue, Airflow, and data stores such as Redshift and DynamoDB, along with version control (GitHub) and CI/CD pipelines (e.g., Jenkins).
  • Experience with backend systems and data integration, including data modeling and supporting APIs for web-based and production applications.
  • Strong written and verbal communication skills, with the ability to explain complex models and insights clearly.
  • Experience supporting CMS or other federal healthcare agencies is a plus

Attention Candidates
We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com.
If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.
The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate's skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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