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Remote Bioinformatics Machine Learning Jobs in Philadelphia, PA

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

Master's, or PhD degreein Chemical Engineering, Biochemical Engineering, Bioinformatics, Process ... machine learning systems. Why Choose Us? * Remote-based working model with meaningful collaboration ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Infinia Search Inc

Be Seen First

Conversational UX Design Strategist

Philadelphia, PA · Remote

$70 - $90/hr

At least a six month contract role with possibility for extension Location: 100% Remote Title: UX ... intelligence, and machine learning. You'll join a multidisciplinary team of UX Designers ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

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All JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Philadelphia, PA

Remote Bioinformatics Machine Learning information

See Philadelphia, PA salary details

$60K

$95.3K

$150.9K

How much do remote bioinformatics machine learning jobs pay per year?

As of Jun 28, 2026, the average yearly pay for remote bioinformatics machine learning in Philadelphia, PA is $95,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $130,700.00 per year, depending on experience, location, and employer.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is a Remote Bioinformatics Machine Learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a Remote Bioinformatics Machine Learning Specialist, and why are they important?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Philadelphia, PA? The most popular types of Bioinformatics Machine Learning jobs in Philadelphia, PA are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Philadelphia, PA? For Remote Bioinformatics Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Bioinformatics Machine Learning jobs? Cities near Philadelphia, PA with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Comcast

Philadelphia, PA • On-site, Remote

Full-time

Posted 16 days ago

Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Comcast's AI Search and Recommendation team is building the next generation of intelligent, personalized experiences across Comcast, Sky, and NBCUniversal. We're looking for a Principal Machine Learning Engineer to lead the design and evolution of large-scale AI platforms powering search, ranking, and recommendations used by millions of customers.
This is a high-impact, hands-on leadership role where you'll shape technical strategy, build production-grade ML systems, and drive innovation in areas like personalization, generative AI, and real-time decisioning.
You'll work at the intersection of applied research and engineering, turning cutting-edge ideas into scalable products that directly influence customer experience and business outcomes.

Job Description

Responsibilities/what you'll do:

Lead AI Platform Strategy and Innovation

  • Own the architecture, roadmap, and evolution of core ML platforms supporting search, ranking, and recommendation systems
  • Define technical direction and deliver scalable solutions that enable personalization and relevance at massive scale


Drive High-Impact Programs

  • Lead complex, revenue-driving initiatives where machine learning is a key differentiator
  • Partner closely with Product, Engineering, and Data teams to align ML capabilities with business goals

Build Next-Generation AI Capabilities

  • Advance modern AI approaches including:
    • Recommender systems and learning-to-rank models
    • Generative AI, LLM fine-tuning, and prompt engineering
    • Agentic AI systems integrating models with tools and workflows
  • Stay on the leading edge of AI and rapidly translate innovation into production systems


Architect and Scale ML Systems

  • Design and deploy distributed ML systems and real-time inference pipelines
  • Build end-to-end machine learning solutions-from data pipelines to model deployment, monitoring, and optimization


Stay Hands-On

  • Write and review production-quality code across core platforms and experimental projects
  • Lead technical design discussions and drive engineering excellence across teams;


Influence Across the Organization

  • Mentor engineers and act as a technical leader across multiple teams
  • Establish best practices, reusable frameworks, and standards to scale innovation


Qualifications:

  • 10+ years of experience in machine learning, AI, or software engineering
  • Proven track record building and scaling production ML systems
  • Strong Python programming skills with a focus on performance and reliability
  • Experience translating advanced models or research into real-world products
  • Background in search, ranking, recommendations, or personalization systems
  • Familiarity with LLMs, generative AI, or agent-based systems

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Business Acumen, Communication, Design, Learning Agility, Machine Learning (ML), Technical Leadership

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.


Please visit the benefits summary on our careers site for more details.

Education

Bachelor's Degree: Computer and Information ScienceWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

10 Years +Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

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