1

Spatial Data Manager Jobs in New Jersey (NOW HIRING)

Environmental Scientist

Roseland, NJ

$80K - $106K/yr

Analyze environmental data, interpret laboratory results, and translate findings into clear ... Manage multiple projects simultaneously, including scheduling, budgeting, and resource coordination ...

Embodied AI Engineer

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards ... Architect and operate large-scale data pipelines that combine high-fidelity simulation, generative ...

Director - Diagnostics

Kearny, NJ · On-site

$160 - $240/hr

In our planar‑coil stellarator architecture, real‑time data is at the core of our dynamic ... Manage the diagnostics budget, vendor relations, and procurement of highly specialized hardware.

... spatial transcriptomics) to identify pharmacodynamic markers and predictive signatures, to ... quality data collection.External Partnerships: Manage relationships with Contract Research ...

... concepts, spatial layouts, and detailed requirements, including necessary space and facility ... Demonstrated track record of contributing to the successful management of diagnostics from initial ...

... quality genomic data from patient-derived samples to inform biomarker discovery, patient ... manage multiple time-sensitive workflows. · Strong interpersonal, written, and verbal ...

Scientist - Plasma Diagnostics

Kearny, NJ · On-site

$110K - $160K/yr

... concepts, spatial layouts, and detailed requirements, including necessary space and facility ... Demonstrated track record of contributing to the successful management of diagnostics from initial ...

Showing results 21-40

Spatial Data Manager information

What is a spatial data manager?

Spatial Data Managers are professionals responsible for organizing, maintaining, and overseeing spatial or geographic data within an organization. They ensure the accuracy, accessibility, and security of geospatial datasets used in mapping, analysis, and decision-making processes. Their role often involves using Geographic Information Systems (GIS), coordinating with other technical staff, and developing data management standards and protocols. Spatial Data Managers support various industries, including urban planning, environmental science, utilities, and transportation.

What are the key skills and qualifications needed to thrive as a spatial data manager?

To excel as a Spatial Data Manager, you need expertise in geospatial data analysis, spatial database management, and a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), database systems (like PostgreSQL/PostGIS), and data standards is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for managing complex datasets and collaborating with stakeholders. These abilities ensure accurate data management, efficient workflows, and informed decision-making in organizations reliant on spatial information.

What are some common challenges spatial data managers face when maintaining large geospatial databases?

Spatial Data Managers often encounter challenges related to data quality, integration of multiple data sources, and ensuring data consistency across platforms. Managing large volumes of geospatial data requires robust organizational systems and regular data validation to prevent errors or duplication. Additionally, they must stay up-to-date with evolving GIS technologies and standards while coordinating with cross-functional teams like analysts, engineers, and project managers to support various mapping and spatial analysis needs.

What is the difference between Spatial Data Manager vs GIS Analyst?

AspectSpatial Data ManagerGIS Analyst
CredentialsBachelor's or higher in GIS, Geography, or related field; GIS certificationsBachelor's or higher in GIS, Geography, or related field; GIS certifications
Work EnvironmentData management teams, GIS departments, urban planning firmsMapping projects, spatial analysis teams, environmental agencies
Industry UsageOrganizations managing large spatial datasets, government agenciesAnalysis and visualization of spatial data for projects
Search & ComparisonFocuses on data management, database systems, and infrastructureFocuses on spatial analysis, mapping, and GIS software applications

The main difference is that a Spatial Data Manager oversees the organization, storage, and maintenance of spatial datasets, ensuring data quality and accessibility. In contrast, a GIS Analyst primarily conducts spatial analysis and creates maps using GIS software. Both roles require similar credentials but serve different functions within GIS projects.

What are popular job titles related to Spatial Data Manager jobs in New Jersey?

For Spatial Data Manager jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Spatial Data Manager jobs in New Jersey look for?

The top searched job categories for Spatial Data Manager jobs in New Jersey are:

What cities in New Jersey are hiring for Spatial Data Manager jobs?

Cities in New Jersey with the most Spatial Data Manager job openings:

Infographic showing various Spatial Data Manager job openings in New Jersey as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Associate Director, Translational Science

Legend Biotech US

Somerset, NJ • Hybrid

Full-time

Re-posted yesterday


Job description

Legend Biotech is seeking an Associate Director, Translational Science as part of the Early Drug Development team based in Somerset, NJ.

Role Overview

The Associate Director of Translational Science will bridge the gap between early-stage discovery research and clinical development. This role requires a unique blend of deep immunological expertise and advanced computational proficiency. You will be responsible for designing and executing translational strategies, identifying biomarkers, and leveraging large-scale multi-omic datasets to provide actionable insights into mechanism of action (MoA), patient stratification, and drug resistance in both autoimmune and oncology disease area.

Key Responsibilities

  • Translational Strategy: Lead the development and execution of program-specific translational plans from lead optimization through Phase II clinical trials.
  • Data Integration & Analysis: Oversee the analysis of high-dimensional datasets (e.g., scRNA-seq, CITE-seq, flow cytometry, and spatial transcriptomics) to identify pharmacodynamic markers and predictive signatures, to interpret and provide insight into the biological mechanisms.
  • Clinical Collaboration: Partner with Clinical Development and Clinical Operations to implement biomarker assays in clinical protocols and ensure high-quality data collection.
  • External Partnerships: Manage relationships with Contract Research Organizations (CROs) and academic collaborators for specialized assay development and advanced data processing.
  • Cross-Functional Leadership: Represent Translational Science on program teams, providing expert input on disease biology, target engagement, and competitive landscape.
  • Scientific Communication: Author high-quality technical reports, regulatory documents (IND/IB/NDA), and contribute to peer-reviewed publications and conference presentations.

Requirements

  • PhD or MD/PhD in Immunology, Bioinformatics, Computational Biology, or a related field.
  •  5+ years of experience in the biopharmaceutical industry or an equivalent academic leadership role within translational research.
  • Extensive knowledge of human auto-immune disease and oncology diseases, specifically in areas such as immuno-oncology, autoimmune diseases, or cell therapy (CAR-T/TCR-T).
  • Demonstrated experience with genomic data analysis. Practical and hand on experience data analysis pipeline, ability to guide data integration, knowledge integration from multiple datasets is essential.
  • Proven track record in the development, validation, and clinical implementation of complex biomarkers.
  • Experience working with relevant disease areas, deep understanding of the biological mechanisms related to diseases(auto-immune, oncology, or/both).
  • Strong understanding of regulatory requirements for biomarker-driven clinical trials.
  • Excellent project management skills with the ability to lead multiple programs in a fast-paced environment.
  • High scientific curiosity, driven, motivated in deep understanding of the biology behind both disease and therapies.

#Li-AS1

#Li-Hybrid