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Spatial Data Science Jobs in Philadelphia, PA (NOW HIRING)

... fuel our science-based advancements. Visionaries like you work on teams that save lives by ... Additional responsibilities include building data generation pipelines, troubleshooting complex ...

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... spatial data using GIS, SQL, Python and other tools. • Prepare and execute workflows and ... Science, or Civil Engineering. • Master's degree in a related field is preferred. • Proficiency ...

Skilled at teaching geographic model application, spatial data analysis, and free-response question ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Software Development Specialist IV

Conshohocken, PA · On-site

$35.50 - $48.75/hr

BA/BS degree in Information Science, Data Analytics, Computer Science, or a related degree +6 years ... with spatial data and integrating GIS data with enterprise systems Additional Information

Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit-learn ... Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...

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Spatial Data Science information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do spatial data science jobs pay per year?

As of Jul 26, 2026, the average yearly pay for spatial data science in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

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

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What GIS jobs pay the most?

Senior GIS analyst, GIS manager, and geospatial data scientist roles tend to offer the highest salaries in the GIS field, often exceeding $80,000 to $100,000 annually depending on experience, location, and industry. These positions typically require advanced skills in GIS software, programming, and data analysis, with certifications like GISP enhancing earning potential.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

Can data scientists make $300k?

Data scientists, including those specializing in spatial data science, can earn $300,000 or more at senior levels or in high-demand industries, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. Achieving this salary often requires working in large companies, consulting roles, or locations with high living costs, and may involve additional responsibilities or leadership positions.

What does a spatial data scientist do?

A spatial data scientist analyzes geographic data to identify patterns, trends, and relationships using tools like GIS software and programming languages such as Python or R. They develop models, visualize spatial information, and support decision-making in fields like urban planning, environmental management, or logistics.

Is GIS a high demand job?

GIS (Geographic Information Systems) professionals, including those in spatial data science, are in high demand across industries such as urban planning, environmental management, and transportation. The increasing use of spatial analysis, remote sensing, and GIS tools like ArcGIS and QGIS contributes to strong job growth and opportunities for skilled workers.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in Philadelphia, PA? For Spatial Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in Philadelphia, PA look for? The top searched job categories for Spatial Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Spatial Data Science jobs? Cities near Philadelphia, PA with the most Spatial Data Science job openings:
Infographic showing various Spatial Data Science job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Principal Scientist, Spatial Omics

Jj

Spring House, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Biological Research

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more athttps://www.jnj.com/innovative-medicine

We are searching for the best talent for a Principal Scientist, Spatial Omics located in Cambridge, MA or Spring House, PA.

Purpose:
The ideal candidate will lead the development, validation, and deployment of cuttingedge spatial and molecular profiling capabilities to advance therapeutic discovery acrossneuroscience, oncology, and immunology, with deep expertise in at least one of these areas strongly preferred. This principal scientific role is both strategic and handson, responsible for designing, optimizing, and validating molecular and spatial assays to ensure robustness, reproducibility, and biological interpretability.

The principal scientist will drive endtoend workflows spanning tissue processing, immunohistochemistry, in situ hybridization, microscopy, and slidebased imaging. They will lead the development of novel molecular assays, establish and optimize lab infrastructure, and guide technical execution across multiple platforms. Additional responsibilities include building data generation pipelines, troubleshooting complex experiments, and managing CROs and external technology partners to accelerate capability development. The role will also provide opportunities for validating observations in relevantin vitro and ex vivo model systems.

Ideal candidates bring deep experience in spatial genomics, particularly in a disease context, along with strong experimental design skills and the ability to rapidly deploy assays across cell and tissue samples. Preferred experience also includes basic computational literacy for mapping data flows, as well as familiarity with massively parallel reporter assays, library design, or cell engineering.

You will be responsible for:

  • Leading the development, optimization, andvalidation of spatial genomics and molecular profiling assaysto support neuroscience, oncology, and immunology programs.
  • Designing and executing experimental workflows involvingtissue processing, immunohistochemistry, in situ hybridization, microscopy, highresolution slide imaging and sequencing. Experience with Bruker CosMx and 10x Genomics Visium is highly preferred and will be required for this role.
  • Establishing and refiningnew molecular assays, including troubleshooting, workflow development, and technical feasibility assessments.
  • Building and scaling laboratory infrastructure, includinglab setup, instrumentation planning, and operational readiness.
  • ManagingCROs and external partners, ensuring highquality data generation, timeline alignment, and technical deliverables.
  • Collaborating closely with therapeutic area teams to translate multiomics and spatial readouts intoactionable biological insights.
  • Contributing to data workflows by supporting early-stagedata mapping, QC frameworks, and analytical handoffsto computational teams.

Qualifications

  • Education:
    • Minimum of a PhD in Genetics, Genomics, Molecular Biology, Molecular Pathology, Systems biology, Human biology or a related discipline is required.
    • Post-doctoral fellowship in a related field is required. Alternatively, industry experience with a proven track-record of delivering completed complex projects will be considered.

Required:

  • A minimum of 6 years of biotech or pharmaceutical industry experience is required. Academic staff scientist experience in deeply technical, matrixed, project facing roles will be considered.
  • Strong track record of high-impact scientific deliverables as evidenced by publications, presentations, and recognition within the scientific community.
  • Deep, technical spatial omics expertise is required, including understanding of end-to-end workflows, methods limitations, and mitigation strategies.
  • Excellent written communication, verbal communication, and oral presentation skills are required.
  • Experience with Multiomic Datasets is required.
  • Demonstrated ability to work across disciplines and functional areas is required.
  • Ability to apply novel approaches to address complex biology questions, as evidenced through strong peer-reviewed publications is required

Preferred:

  • Proficiency in programming languages such as R or Python is preferred.
  • In vitro cell culture and genomics library design experience is preferred.
  • Experience as a problem solver, and team collaborator able to facilitate understanding between biologists and data scientists is preferred.
  • Ability to manage multiple projects and meet deadlines is preferred.
  • Experience working with and/or guiding external collaborators in industry or academia is preferred

The expected pay range for this position is $117,000 to $201,250.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/ performance year. Bonuses are awarded at the Company's discretion on an individual basis.

  • Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short and long-term disability, business accident insurance, and group legal insurance.
  • Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
  • This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
    • Vacation -120 hours per calendar year
    • Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
    • Holiday pay, including Floating Holidays -13 days per calendar year
    • Work, Personal and Family Time - up to 40 hours per calendar year
    • Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
    • Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
    • Caregiver Leave - 80 hours in a 52-week rolling period10 days
    • Volunteer Leave - 32 hours per calendar year
    • Military Spouse Time-Off - 80 hours per calendar year

For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits

This job posting is anticipated to close on March 7, 2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

Big Data Management, Critical Thinking, Data Reporting, Data Savvy, Drug Discovery Development, Molecular Diagnostics, Organizing, Pharmaceutical Microbiology, Problem Solving, Product Knowledge, Project Reporting, Project Schedule, Research Proposals, Scientific Research, Standard Operating Procedure (SOP), Standard Scientific Processes and Procedures, Strategic Thinking, Sustainability