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Weekend Data Science R Jobs in Putnam Valley, NY

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints ... Proficiency in scientific programming languages (R, Python). * Experience applying machine learning ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

CE Data Science Project To provide CE with more actionable data for making better and more ... Proficient in Python, R or other statistical software * Excellent skills and/or experience in data ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Proficiency in scientific programming using Python and/or R. * Experience developing and applying ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Proficiency in scientific programming using Python and/or R. * Experience developing and applying ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Proficiency in scientific programming using Python and/or R. * Experience developing and applying ...

System One

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Collaborate with pathologists, biologists, and data scientists to define analytical endpoints and ... Proficiency in scientific programming using Python and/or R. * Experience developing and applying ...

Varite

Histology - Image Analysis

Ridgefield, CT · On-site

$40.04 - $42.90/hr

... data for scientific reports. * Help cross lab collaboration through image and algorithm transfer. Skills * Proficient in scientific programming languages (R, Python) and have experience applying ...

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All JobsData Science R JobsWeekend Data Science R JobsWeekend Data Science R Jobs in Putnam Valley, NY

Weekend Data Science R information

See Putnam Valley, NY salary details

$39.2K

$128.3K

$205.4K

How much do weekend data science r jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data science r in Putnam Valley, NY is $128,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.
Weekend Data Science R jobs near you

Image Analysis Scientist (Digital Pathology)

Stark Pharma Solutions Inc

Ridgefield, CT • On-site

Contractor

Re-posted 13 days ago

Job description

Hi,

My name is Karthik Mutyala, from Stark Pharma Solutions Inc, we are hiring talents for our client. I am working on Image Analysis Scientist position right now. Please send me your updated resume if you have relevant experience and interested in this position. The detailed job description is as follows

Position: Image Analysis Scientist (Digital Pathology)

Location: Ridgefield, CT
Duration: 24-Month Contract
 

Job Overview

We are seeking an Image Analysis Scientist to develop and optimize image analysis workflows for digital pathology applications. The ideal candidate will have experience in biomedical image analysis, machine learning, and digital pathology platforms, supporting biomarker discovery and quantitative tissue analysis.

Key Responsibilities

  • Develop and optimize image analysis pipelines for 2D and 3D biomedical imaging.
  • Perform quantitative analysis of Histology, H&E, IHC, IF, and Multiplex Imaging datasets.
  • Apply image processing, machine learning, segmentation, feature extraction, and classification techniques.
  • Integrate and utilize digital pathology platforms such as HALO, Visiopharm, QuPath, and CellProfiler.
  • Collaborate with pathologists, biologists, and data scientists to define analytical endpoints.
  • Validate image-derived biomarkers and ensure data quality and analytical accuracy.

Required Qualifications

  • Bachelor's degree with 3+ years of relevant experience or a Master's degree in Bioinformatics, Image Analysis, Biomedical Engineering, Computer Science, Life Sciences, or a related field.
  • Strong programming skills in Python and/or R.
  • Hands-on experience applying machine learning to biomedical or pathology image analysis.
  • Experience analyzing H&E, IHC, IF, mIF, or multiplex pathology images.
  • Experience with digital pathology/image analysis platforms such as HALO AI, Visiopharm, QuPath, or CellProfiler.
  • Strong analytical, problem-solving, and cross-functional collaboration skills.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.  

Please follow Stark Pharma Solutions on LinkedIn for the latest job updates: https://www.linkedin.com/company/99455976/

Thank you,

Karthik Mutyala

Recruiting Manager

Stark Pharma Solutions Inc

Email: karthik@starkpharma.com

15 Corporate Place S, Suite 350,

Piscataway, New Jersey 08854

www.starkpharma.com