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Scientist Python Jobs in Princeton, NJ (NOW HIRING)

Advanced degree in Computer Science, Artificial Intelligence, Data Science, or related technical ... Experience in developing and debugging in Python * Desire to make the first multimodal "all-in-one ...

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Train supervised and unsupervised models using Python ( XGBoost, LightGBM, sklearn, PyTorch

... Python to write data preprocessing scripts, train models, and analyze results using scientific libraries; experience applying statistical methods and hypothesis testing to evaluate the quality of ...

Lead Python Developer, New York

New York, NY · On-site

$153K - $188K/yr

The Role Lab49 is seeking a skilled Python Developer to work on complex and challenging projects ... Bachelor's or Master's degree in Computer Science, Engineering, Physics, Math, or equivalent work ...

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

Define scientific frameworks for Stars cutpoint derivation , incorporating CMS methodology ... Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG ...

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Scientist Python information

See Princeton, NJ salary details

$39.3K

$128.7K

$206K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python in Princeton, NJ is $128,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $142,600.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Princeton, NJ? For Scientist Python jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Princeton, NJ look for? The top searched job categories for Scientist Python jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Scientist Python jobs? Cities near Princeton, NJ with the most Scientist Python job openings:
Senior Python/SQL Programmer (HYBRID) NO H1 or Corp to Corp

Senior Python/SQL Programmer (HYBRID) NO H1 or Corp to Corp

NetSource, Inc.

Raritan, NJ • On-site

$124K - $167K/yr

Other

Posted 26 days ago


Job description

Please note that this is a 12 month Contract position.  Position can be remote but candidate must live in NJ or PA. Manager does not want any commute issues.

no Corp to Corp. or H1 

Must submit Coding examples with Resume, otherwise the Resume will be rejected.

Masters degree is required, all other resumes will be rejected.

JOB DESCRIPTION: 

Top Skills:

  • Must have direct industry experience cleaning and transforming large scale data
  • Using advanced SQL with relational databases
  • Collaborating with IT
  • Using AWS/Snowflake for data building and management, building, debugging and deploying data pipelines
  • Using Python for statistical analysis
  • Please note that Python and SQL skills will be tested.
  • Masters degree is required
  • Required experience with Python and SQL - REQUIRED
  • Must have MSAT or Manufacturing background
  • Will work on a major project, will help setup connections, and explore data analysis
  • Will research specific materials
  • Must be a critical thinker
  • Must be eager to learn
  • MUST HAVE PROGRAMMING AND CODING EXPERIENCE
  • Will help with coming up with unique ways to solve problems or obstacles
  • Must have hands on coding experience (versus using AI solutions)

Qualifications:

  • Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely related discipline preferred; Masters with 3-5+ years experience. PhD with 0-3+ years experience.
  • Experience coordinating testing with external/internal analytical labs and interpreting lab reports.
  • Knowledge of GMP principles, validation strategies, and risk assessment methodologies (e.g., FMEA).
  • Familiarity with supplier qualification practices and vendor communications.
  • Demonstrated experience supporting material investigations, specification setting, qualification oversight, change control, and tech transfer in a regulated manufacturing environment (pharma, biotech, medical device, or related) preferred.
  • Strong data analysis skills and ability to synthesize manufacturing and analytical datasets to support root cause and risk assessments.
  • Proven technical writing skills for regulatory grade reports, specifications, and protocols.
    Experience collaborating with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams.
  • Familiarity with electronic quality systems (eQMS, LIMS), manufacturing systems (MES), SAP and common data tools (Excel, Python/R, JMP, or similar).
  • Prior industry experience in SAT or material science support roles within regulated manufacturing preferred.

Key Responsibilities:

  • Support the MSAT Material Science team on material related investigations and deviation analyses: gather and analyze manufacturing and analytical data, contribute to technical assessments, and help implement solutions as applicable.
  • Assist MSAT Material Science in developing and revising raw material specifications: draft language, define acceptance criteria, compile technical justification, compendial review and coordinate SME deliverables.
  • Support material qualification and requalification activities on behalf of the MSAT Material Science team: prepare qualification plans/protocols, coordinate testing with internal or external labs/vendors, analyze returned data, and draft qualification reports.
  • Provide technical input for change controls: prepare technical assessments, perform impact and risk evaluations, coordinate verification/validation activities, and compile evidence for closure.
  • Support technology transfer activities: prepare transfer documentation, align material requirements between development and manufacturing, and coordinate post transfer monitoring and follow up.
  • Contribute to material traceability and data mapping initiatives: work with Process, Planning, and IT/data teams to map raw material usage to manufacturing campaigns and produce actionable visualizations.
  • Interface with Supplier Quality and Procurement to support vendor qualification, incoming material review, sample evaluations, and supplier investigations.
  • Prepare and maintain regulatory grade documentation on behalf of MSAT Material Science: investigation summaries, specifications, test method rationales, SOPs, qualification packages, and technical reports.
  • Support audits and inspections by preparing evidence, supporting response to technical queries, and assisting in closure of material related findings under Quality oversight.
  • Communicate findings and recommendations to the MSAT Material Science team, cross functional partners, and leadership; present at technical meetings as required.
  • Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and investigation best practices.

Position Summary:

MSAT Material Science is seeking a scientist to drive raw material quality and traceability initiatives that support regulatory compliance and dependable manufacturing outputs. This candidate will provide technical support to the MSAT Material Science team on a variety of deliverables critical to successful technical materials deliverables. This role will support a range of activities including investigations, specification development, material qualification, change control and technology transfer support, analytical method evaluation and data driven traceability efforts. The role will collaborate closely with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams to improve raw material traceability, resolve material issues, and produce regulatory quality documentation.

Candidates must provide their phone number. Job reference number is A5422.