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Home Based Python Machine Learning Jobs in Cambridge, MA

Strong programming skills in Python; * Demonstrated commitment to scientific rigor, a track record ... Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or ...

Build AI models that make predictions based on large quantities of data. * Explain the usefulness ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Build AI models that make predictions based on large quantities of data. * Explain the usefulness ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

Strong programming skills in Python; Demonstrated commitment to scientific rigor, a track record of ... Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or ...

Proficiency in Python and machine learning development workflows. * Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. * Experience with software development and ...

Machine Learning Team Lead

Somerville, MA · On-site

$170K - $210K/yr

We enable enterprises to deeply understand how people communicate and take timely action based on ... Strong experience with Python and PyTorch * Ability to understand and guide complex ML systems and ...

Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during training and inference ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

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Home Based Python Machine Learning information

See Cambridge, MA salary details

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How much do home based python machine learning jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for home based python machine learning in Cambridge, MA is $64.07, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.79 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Cambridge, MA? For Home Based Python Machine Learning jobs in Cambridge, MA, the most frequently searched job titles are:
What cities near Cambridge, MA are hiring for Home Based Python Machine Learning jobs? Cities near Cambridge, MA with the most Home Based Python Machine Learning job openings:

Data Scientist - Machine Learning

Caris Life Sciences

Boston, MA • On-site

Full-time

Posted yesterday


Job description

Job Summary:
Caris Life Sciences is dedicated to transforming cancer care through precision medicine and innovative solutions. They are seeking a Data Scientist specializing in Machine Learning to develop novel models that integrate molecular and clinical data to enhance cancer biology understanding and improve patient outcomes.
Responsibilities:
• Design, build, and iteratively refine novel machine learning models using modern architectures and classical statistical methods to address translational oncology questions.
• Develop and apply multi‑modal modeling approaches integrating RNA‑seq expression data with mutations, copy number alterations, fusions, protein markers, and clinical metadata.
• Translate model outputs into improvements on the Caris clinical diagnostic platform to support improved treatment predictions.
• Publish results in peer‑reviewed journals and present findings at scientific conferences and internal forums.
• Support collaborations with biopharma partners by providing analytical expertise, developing custom analyses, and communicating results to external stakeholders.
• Stay current with advances in machine learning research, tools, architectures, and emerging development paradigms.
Qualifications:
Required:
• Ph.D. in Computer Science, Computational Biology, Applied Mathematics, or a related quantitative field; or M.S. degree with 3+ years of relevant professional experience.
• Deep familiarity with modern machine learning approaches including representation learning, attention‑based architectures, foundation models, and self‑supervised learning.
• Working knowledge of statistical modeling concepts relevant to clinical data, including generalized linear models, survival analysis, and Bayesian methods.
• Demonstrated experience building and applying novel machine learning models beyond off‑the‑shelf solutions.
• Proficiency in Python and the scientific computing ecosystem (PyTorch or TensorFlow, scikit‑learn, pandas, NumPy, SciPy).
• Strong written and verbal communication skills.
• Familiarity with Linux environments and Git.
• Proficient in Microsoft Office Suite including Word, Excel, Outlook, and business internet tools.
Preferred:
• Understanding of cancer and molecular biology with experience using large‑scale genomics datasets.
• Peer‑reviewed publications in machine learning or computational biology.
• Experience with computer vision for digital pathology.
• Experience with natural language processing of EHR or real‑world data.
• Experience deploying models in cloud environments and MLOps practices.
Company:
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology. Founded in 2008, the company is headquartered in Irving, USA, with a team of 1001-5000 employees. The company is currently Late Stage.