2

Remote Conservation Data Science Jobs in California

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Strong foundation in Machine Learning, Statistics, and Applied Data Science. * Experience with ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Finalis is a high-growth, VC-backed, fully remote startup using AI to build the future of private ... You will also mentor our data science team. Led by your efforts, the data team will deliver high ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Science), preferably with work experience of over 2-3 years (open to talk to freshers as well)

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

This is a remote position, but we do have an office in San Fransisco. You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our ...

We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive ... Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we ...

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

next page

Showing results 1-20

Remote Conservation Data Science information

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

To thrive as a Remote Conservation Data Scientist, you need expertise in data analysis, ecological modeling, and a strong background in environmental science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python or R, GIS tools (such as ArcGIS or QGIS), and relevant data management systems is essential. Excellent problem-solving, communication, and collaboration skills are crucial for translating data insights into actionable conservation strategies with remote teams. These abilities enable effective data-driven decision-making and foster impactful conservation outcomes across diverse and distributed environments.

How does a remote conservation data scientist typically collaborate with field teams and stakeholders?

Remote conservation data scientists often rely on digital communication tools—such as video calls, shared databases, and project management platforms—to work closely with field researchers, conservation managers, and external partners. While they may not be physically present at field sites, they regularly interpret, analyze, and visualize data collected on the ground, providing actionable insights for ongoing projects. Regular virtual meetings are common for aligning on project goals, discussing data quality, and adapting analytical approaches based on field realities. This collaborative structure ensures that data-driven recommendations are both relevant and grounded in real-world conservation challenges.

What is a Remote Conservation Data Scientist?

A Remote Conservation Data Scientist is a professional who analyzes environmental data to support conservation efforts, often working from a location outside of a traditional office or onsite fieldwork setting. They use data science techniques such as statistical analysis, machine learning, and geographic information systems (GIS) to interpret data related to biodiversity, ecosystems, wildlife populations, and climate change. Their work helps inform conservation policies, resource management, and strategies to protect natural habitats. Remote work in this field relies heavily on digital collaboration tools and access to large datasets. These scientists often partner with non-profits, government agencies, or research organizations to tackle global conservation challenges.
What are the most commonly searched types of Conservation Data Science jobs in California? The most popular types of Conservation Data Science jobs in California are:
What are popular job titles related to Remote Conservation Data Science jobs in California? For Remote Conservation Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Conservation Data Science jobs in California look for? The top searched job categories for Remote Conservation Data Science jobs in California are:
What cities in California are hiring for Remote Conservation Data Science jobs? Cities in California with the most Remote Conservation Data Science job openings:
Infographic showing various Remote Conservation Data Science job openings in California as of June 2026, with employment types broken down into 58% Full Time, 30% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Principal Data Product Scientist, DDSAI Immunology

Jj

San Diego, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 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:

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.


#LI-SL
#JNJDataScience
#JRDDS
#JNJIMRND-DS
#LI-Hyrbid

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