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Remote Systematic Review Meta Analysis Jobs in New York

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$177K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... reviews) * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent ...

Meta

Software Engineer, Product

New York, NY · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers ...

Meta

Software Engineer, Infrastructure

New York, NY · On-site +1

$183K/yr

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers ...

Meta

Client Solutions Manager

New York, NY · Remote

$87K/yr

The Client Solutions Manager for Meta's Global Business Group is a professional with proven ... This is an opportunity to build and manage key client relationships, leverage analytical skills ...

Meta

Scaled Business Growth

New York, NY · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... This role requires someone who can analyze data & understand market trends to identify ...

Meta

Data Engineer, Product Analytics

New York, NY · On-site +1

$147K/yr

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... reviews) * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent ...

Meta

Scaled Business Growth

New York, NY · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... This role requires someone who can analyze data & understand market trends to identify ...

Meta

Internal Audit Manager

New York, NY · On-site +1

$112K/yr

... Meta's products and core technology infrastructure stack * Leverage analytics tools (e.g., SQL/BI ... reviews) * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk ...

Meta

Data Scientist (Technical Leadership)

New York, NY · On-site +1

$210K/yr

By joining Meta, you will become part of a analytics community dedicated to skill development and ... and accuracy reviews) About Meta: Meta builds technologies that help people connect, find ...

Meta

Sanctions FIU Investigator

New York, NY · Remote

$147K/yr

In addition to having an extensive investigative and analytical background, Meta is seeking an ... reviews) * BA/BS degree or equivalent * 4+ years of experience conducting Sanctions Compliance ...

Directive

Meta Strategist (Remote US)

Stamford, CT · Remote

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... remote-first company, you'll have the ability to work from anywhere in the US, with the option to ...

Directive

Meta Strategist (Remote US)

New York, NY · Remote

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... remote-first company, you'll have the ability to work from anywhere in the US, with the option to ...

Directive

Meta Strategist (Remote US)

Hoboken, NJ · Remote

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... remote-first company, you'll have the ability to work from anywhere in the US, with the option to ...

Meta

Product Marketing Manager

New York, NY · On-site +1

$130K/yr

They will have cross-functional collaboration, analytical, and communication skills, as well as the ... and accuracy reviews) About Meta: Meta builds technologies that help people connect, find ...

Meta

Client Solutions Manager

New York, NY · Remote

$112K/yr

... reviews) * Experience with business case modeling and market/opportunity sizing * Experience with Meta's full suite of advertising solutions * Experience working cross-functionally with Product teams ...

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Remote Systematic Review Meta Analysis information

What is a remote systematic review meta analysis?

Remote Systematic Review Meta Analysis jobs involve conducting comprehensive reviews of existing research studies from a remote location, often to answer specific clinical or scientific questions. These roles typically require summarizing and synthesizing data from multiple studies, evaluating study quality, and performing statistical meta-analyses to identify overall trends and conclusions. Professionals in these positions often work for academic institutions, healthcare organizations, or research consultancies, using specialized software and databases to manage and analyze large volumes of scientific literature. Remote work enables flexibility and access to global projects, making these jobs attractive to researchers and analysts across various fields.

What are some common challenges faced when conducting systematic reviews and meta-analyses remotely, and how can they be addressed?

Working remotely on systematic reviews and meta-analyses often involves coordinating with team members across different time zones, ensuring consistent data management, and maintaining clear communication. Common challenges include version control of documents, discrepancies in data extraction, and delays in feedback cycles. These can be addressed by using collaborative tools (like shared databases and cloud platforms), establishing regular virtual meetings, and setting clear protocols for documentation and decision-making. Proactively addressing these challenges helps maintain accuracy, efficiency, and team cohesion throughout the review process.

What are the key skills and qualifications needed to thrive as a remote systematic review meta analysis specialist, and why are they important?

To excel in Remote Systematic Review Meta Analysis, a strong background in research methodology, statistical analysis, and evidence-based practices—often supported by advanced degrees in health sciences or related fields—is essential. Proficiency in software such as RevMan, EndNote, Covidence, and statistical tools like R or Stata, along with knowledge of PRISMA guidelines, is typically required. Exceptional attention to detail, critical thinking, and clear written communication are vital soft skills for synthesizing complex data and collaborating remotely. These competencies ensure the integrity, accuracy, and reliability of published systematic reviews and meta-analyses.

What is the difference between Remote Systematic Review Meta Analysis vs Remote Research Analyst?

AspectRemote Systematic Review Meta AnalysisRemote Research Analyst
CredentialsAdvanced degrees in health sciences, research methods, or related fieldsBachelor's or master's in research, statistics, or related areas
Work EnvironmentPrimarily academic, healthcare, or research institutions; focused on literature synthesisVaried settings including market research, healthcare, or academia; data collection and analysis
Industry UsageCommon in healthcare, academia, and policy-makingUsed across multiple industries including healthcare, marketing, and finance

Remote Systematic Review Meta Analysis specialists focus on synthesizing research data through systematic reviews and meta-analyses, requiring advanced research credentials. Remote Research Analysts perform broader data collection and analysis tasks across industries, often with less specialized qualifications. While both roles involve research skills, the systematic review meta analysis role is more specialized in evidence synthesis within healthcare and academia.

What are the most commonly searched types of Systematic Review Meta Analysis jobs in New York?

The most popular types of Systematic Review Meta Analysis jobs in New York are:

What are popular job titles related to Remote Systematic Review Meta Analysis jobs in New York?

For Remote Systematic Review Meta Analysis jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Systematic Review Meta Analysis jobs in New York look for?

The top searched job categories for Remote Systematic Review Meta Analysis jobs in New York are:

What cities in New York are hiring for Remote Systematic Review Meta Analysis jobs?

Cities in New York with the most Remote Systematic Review Meta Analysis job openings:

Remote Systematic Review Meta Analysis jobs near you

Data Engineer, Product Analytics

Meta

New York, NY • On-site, Remote

$177K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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