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Remote Scientific Data Curator Jobs (NOW HIRING)

Position Summary We are seeking a Data Scientist / Data Analytics Engineer to design, build, and ... You will own problems end-to-end: framing the question with stakeholders, selecting and curating ...

Position Summary We are seeking a Data Scientist / Data Analytics Engineer to design, build, and ... You will own problems end-to-end: framing the question with stakeholders, selecting and curating ...

This team is responsible for research, experimentation, data collection and curation, and data ... This role is fully remote for candidates who reside outside the 30 mile radius of one of our ...

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Remote Categories: Information Technology Data Scientist - AI Systems This role focuses on ... Working knowledge of generative AI concepts and patterns including RAG architectures, data curation ...

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

Field Application Scientist

Los Angeles, CA · On-site +1

$105K - $175K/yr

Provide field-based & remote scientific engagement with customers in both pre/post-sales capacities ... use of data analysis software programs (such as ImageJ, CellProfiler, FlowJo, or similar)

Field Application Scientist

Houston, TX · On-site +1

$105K - $175K/yr

Provide field-based & remote scientific engagement with customers in both pre/post-sales capacities ... use of data analysis software programs (such as ImageJ, CellProfiler, FlowJo, or similar)

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Remote Scientific Data Curator information

What is the difference between Remote Scientific Data Curator vs Remote Data Analyst?

AspectRemote Scientific Data CuratorRemote Data Analyst
CredentialsTypically requires a degree in science, data management, or related fieldUsually requires a degree in statistics, mathematics, or related field
Work EnvironmentOften in research institutions, labs, or scientific organizationsCommonly in business, finance, or tech companies
Industry UsageUsed in scientific research, academia, and healthcareUsed across various industries including finance, marketing, and tech
Search & Comparison IntentPeople compare to understand roles in scientific data managementPeople compare to distinguish data analysis responsibilities

The Remote Scientific Data Curator focuses on organizing, annotating, and maintaining scientific datasets, often within research or healthcare settings. In contrast, a Remote Data Analyst interprets data to generate insights for business decisions. While both roles handle data, their focus, industry, and required skills differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Scientific Data Curator, and why are they important?

To thrive as a Remote Scientific Data Curator, you need a strong background in biology, bioinformatics, or a related scientific field, often supported by an advanced degree. Familiarity with data management systems, database tools (like SQL), and sometimes programming languages such as Python or R is typically required. Attention to detail, strong organizational skills, and effective written communication are vital soft skills for ensuring data accuracy and collaborating remotely. These skills are crucial to maintain high-quality, accessible scientific data that supports research and discovery across the scientific community.

What are the main challenges Remote Scientific Data Curators face when ensuring data quality and consistency across distributed teams?

Remote Scientific Data Curators often work with large, complex datasets from multiple sources, making it challenging to maintain uniform data quality and consistency. Since teams are distributed, clear communication and standardized protocols are essential to prevent discrepancies and data entry errors. Regular virtual meetings and collaborative tools help keep everyone aligned, but curators must also be proactive in documenting changes and clarifying ambiguities to ensure data sets remain accurate and reliable for research and analysis.

What does a Remote Scientific Data Curator do?

A Remote Scientific Data Curator is responsible for organizing, managing, and maintaining scientific datasets to ensure their accuracy, accessibility, and usability. They work remotely with research teams to collect, annotate, and standardize data, making it easier for scientists and researchers to use and share information. Their tasks often include data cleaning, metadata creation, quality control, and ensuring compliance with data management standards and policies.
More about Remote Scientific Data Curator jobs
What cities are hiring for Remote Scientific Data Curator jobs? Cities with the most Remote Scientific Data Curator job openings:
What are the most commonly searched types of Scientific Data Curator jobs? The most popular types of Scientific Data Curator jobs are:
What states have the most Remote Scientific Data Curator jobs? States with the most job openings for Remote Scientific Data Curator jobs include:
Infographic showing various Remote Scientific Data Curator job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 58% Full Time, 18% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.
Principal Data Product Scientist, DDSAI Immunology

Principal Data Product Scientist, DDSAI Immunology

Johnson & Johnson

Raritan, NJ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

29th of 73 rated pharmaceutical


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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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

Johnson & Johnson Innovative Medicine is recruiting for aPrincipal Data Product Scientist, DDSAI Immunology to join our Immunology R&D Data, Data Science & Artificial Intelligence (DDSAI) team and to enable and scale highvalue data assets across Immunology Research & Development. This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (NO fully remote option available).

The Principal Data Product Scientist will operate at the intersection of Immunology scientific teams, data scientists, data engineering/platform teams, and external data partners. The focus is on translating business and scientific needs to enable effective execution of analytics, modeling, and AIenabled research. The role emphasizes data needs management, gap identification, data governance, and crossfunctional execution, with responsibility for ensuring progress against known gaps while surfacing new and emerging data opportunities.

Key Responsibilities:

Data Needs Management & Opportunity Identification

  • Partner with Immunology leadership and analytics teams to translate data gaps into clearly defined data opportunities and business needs, in coordination with the Data Strategy and Products team
  • Support strategic prioritization by assessing impact, feasibility, readiness, and dependencies associated with new data initiatives.


Data Product Ownership & Curation

  • Act as a data product owner for priority Immunology datasets, defining scope, quality expectations, documentation requirements, refresh cycles, and success metrics.
  • Work with Immunology scientists and data scientists to translate scientific questions into concrete data requirements, ensuring datasets are fitforpurpose and reusable.
  • Ensure datasets are wellcurated, discoverable, traceable, and compliant with internal standards for analytics, modeling, and AI/ML applications.


Interface with Data Engineering & Platforms

  • Possess working knowledge of the endtoend data engineering lifecycle, including Data Transfer Agreements (DTA), data access provisioning, data pipelines, harmonization and standardization, anonymization and privacy controls.
  • Interface between Immunology R&D stakeholders and data engineering/platform teams, enabling clear communication of requirements, constraints, and dependencies.
  • Align data needs with platform capabilities, ensuring that Immunology datasets are integrated, governed, and scalable within enterprise data environments.


Data Sourcing, Partnerships & Alliances

  • Coordinate data procurement activities across internal sources and external partners (e.g., RWD vendors, academic collaborators, technology partners).
  • Collaborate with Legal, Procurement, Privacy, and Compliance to support data use documentation, contracting, licensing, and governance controls.
  • Act as a key operational point of contact for external data partners, managing delivery expectations, refresh schedules, and issue resolution.


CrossFunctional Enablement & Governance

  • Ensure shared understanding and execution between data scientists, immunologists, engineers, legal, and platform teams. Establish and maintain metadata, data use documentation, lineage, and versioning to support compliance, transparency, and reuse.
  • Define and monitor operational KPIs related to data timeliness, quality, completeness, and adoption.
  • Support adoption by ensuring ease of access, documentation, and usability

Required Qualifications

  • Bachelor's degree (required) in Data Science, Bioinformatics, Computer Engineering, Computer Science, Mathematics, or Statistics.
    Advanced degree preferred.
  • 5+ years of experience in data operations, data product management, data curation, analytics enablement, or similar roles.
  • Prior experience in or closely collaborating with:
    • Technologyenabled life sciences or research platforms (e.g., digital health, research technology divisions).
  • Demonstrated ability to:
    • Track and manage evolving data demand across multiple stakeholders
    • Interface effectively with data engineering and platform teams
    • Navigate data governance, documentation, and compliance processes
  • Strong organizational and communication skills, with the ability to drive through complex, matrixed teams.

Preferred Qualifications

  • Experience supporting Immunology, oncology, or broader life sciences R&D initiatives.
  • Familiarity with healthcare and life sciences data standards (e.g., OMOP, FHIR, CDISC) and multimodal data sources.
  • Prior experience with RealWorld Data (RWD) organizations.
  • Experience acting in a liaison or productstyle role rather than a handson coding role.
  • Comfort with operating at the intersection of science, data, engineering, legal, and vendor partnerships.
  • Understanding of metadata, ontologies, and semantic layers
  • Familiarity with FAIR data principles and reusable data design

Additional Information

  • This position will be located on-site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.

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, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
The anticipated base pay range for this position is $117,000 - $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. Employees and/or eligible dependents may be 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. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below.https://www.careers.jnj.com/employee-benefits
The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


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Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

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