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Remote Bioinformatics Machine Learning Jobs in Pennsylvania

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 ...

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 ...

The Pennsylvania State University

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... machine learning and artificial intelligence * Assist with the design, assembly, and testing of ...

The Pennsylvania State University

$109K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Experience with spatio-temporal data fusion, applicable database architectures and machine learning ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Exposure to spatio-temporal data fusion, applicable database architectures and machine learning ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Implement statistical and machine learning techniques to augment graph edge properties in ARAX;

micro1 AI

Domain Expert - (STEM PhD)

Philadelphia, PA · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Philadelphia, PA · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Bioinformatics Machine Learning information

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 Pennsylvania? The most popular types of Bioinformatics Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Remote Bioinformatics Machine Learning jobs in Pennsylvania? For Remote Bioinformatics Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Bioinformatics Machine Learning jobs in Pennsylvania look for? The top searched job categories for Remote Bioinformatics Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Bioinformatics Machine Learning jobs? Cities in Pennsylvania with the most Remote Bioinformatics Machine Learning job openings:
Remote Bioinformatics Machine Learning jobs near you
Applications Engineering, Staff Engineer - 16469

Applications Engineering, Staff Engineer - 16469

Synopsys

Canonsburg, PA • On-site, Remote

$112K/yr

Full-time

Posted 14 days ago

Job description

General Information
Job Title
Staff Engineer - AI/ML & Digital Twin
Job ID
16469
City
Canonsburg
State/Province
Pennsylvania
Date Posted
17-Mar-2026
Job Category
Engineering
Job Subcategory
Applications Engineering
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $112000 - $168000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.
You Are:
You are a highly motivated engineer who thrives at the intersection of engineering simulation, data-driven methods, and AI/ML-enabled workflows. Your expertise allows you to operate confidently in customer-facing environments, translating complex, multidisciplinary challenges into scalable, practical solutions. You possess a strong foundation in simulation or engineering systems, hands-on experience with machine learning and automation, and the ability to engage as a trusted technical advisor.
You are energized by ambiguity, seeking out opportunities to enable new ways of working through automation, digital twins, and intelligent simulation workflows. You are passionate about democratizing simulation technology, making advanced capabilities accessible to a broader spectrum of users. Your approach is both strategic and hands-on, balancing high-level vision with detailed technical execution.
You excel in collaborative environments, working closely with cross-functional teams and customers to deliver impactful solutions. You advocate for innovation and continuous improvement, mentoring peers and championing best practices. Your communication skills enable you to distill complex concepts into actionable insights, fostering understanding across diverse audiences. Above all, you are driven by the desire to make a tangible impact in the world of engineering and technology.
What You'll Be Doing:
  • Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
  • Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
  • Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
  • Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
  • Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
  • Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
  • Collaborate closely with product development teams to influence roadmap,validatenew capabilities, and improveusabilityof AI-enabled features.
  • Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
  • Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

  • Mentor team members and contribute to the best internal practices around AI, automation, and simulation integration.

The Impact You Will Have:
  • Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
  • Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
  • Expand access to simulation by supporting democratization across engineering and non-expert users.
  • Drive adoption of digital twin technologies for predictive and operational decision-making.
  • Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
  • Contribute to business growth through high-impact technical engagements and solution delivery.

What You'll Need:
  • MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or relatedfield.
  • 5+ years of experience in engineering systems, simulation, or data-driven modeling.
  • Strong programming skills (Python preferred).
  • Experience working with modeling, simulation, optimization, or data-driven engineering workflows.
  • Strong analytical, problem-solving, and communication skills.
  • Ability tooperateeffectively in a customer-facing, consultative engineering role.
  • Proven experience in automation of engineering workflows or pipelines using tools such asoptiSLang,modeFrontier, HEEDS or equivalent.
  • Demonstratedexpertiseapplying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
  • Understanding ofprojection-based ROMs, dimensionality reduction, and feature engineering.
  • Knowledge of multi-fidelity system modeling using Twin Builder, Simulink,AMESimor equivalent.
  • Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such asPyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.

  • Exposure tocloud or HPC-based environments for large-scale simulation or data processing.

Who You Are:
  • Customer-focused and able to build trusted relationships.
  • Comfortable working in ambiguous, fast-evolving technical environments.
  • A strong communicator who can translate complex concepts into actionable insights.
  • Self-driven, organized, and capable of managing multiple priorities.
  • A collaborative team player who contributes to a culture of learning and innovation.

The Team You'll Be A Part Of:
You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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