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Postdoc Data Science Remote Jobs in Philadelphia, PA

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Drive adoption of best practices in data science, MLOps, and model governance. Technical Oversight

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Drive adoption of best practices in data science, MLOps, and model governance. Technical Oversight

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

... data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

Showing results 41-60

Postdoc Data Science Remote information

See Philadelphia, PA salary details

$58K

$68.7K

$130.2K

How much do postdoc data science remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for postdoc data science remote in Philadelphia, PA is $68,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $60,000.00 per year, depending on experience, location, and employer.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Philadelphia, PA?

For Postdoc Data Science Remote jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Postdoc Data Science Remote jobs in Philadelphia, PA look for?

The top searched job categories for Postdoc Data Science Remote jobs in Philadelphia, PA are:

Infographic showing various Postdoc Data Science Remote 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,657 per year, or $33 per hour.

Data Architect, Healthcare Payer

Amerihealth Caritas

Newtown Square, PA • On-site, Remote

$61 - $78.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 310 rated insurance


Job description

For roles that are 100% remote or hybrid, you must have access to a reliable high-speed internet connection to support daily job responsibilities. A minimum bandwidth of 50 Mbps download and 5 Mbps upload is required. Those fully remote associates residing in states where service is required by contract, law, or regulation will be allowed to submit for reimbursement.

THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.  

WE WILL NOT CONSIDER REMOTE CANDIDATES!

Role Overview

The Data Architect is responsible for designing, building, and maintaining the data infrastructure and solutions that enable efficient and secure collection, storage, and analysis of healthcare data in different data platforms (Data Warehouse & Data Lake). This role involves working range of stakeholders including business and IT teams to ensure data architecture supports business needs while adhering to compliance and security standards. The ideal candidate will have experience in HEDIS, CMS Interoperability (FHIR).

Work Arrangement

  • This is a hybrid, office based position at our Ellis Preserve office in Newtown Square, PA.  You will work 3 days per week in the office (Tuesday, Wednesday and Thursday), and 2 days remotely (Monday and Friday).  WE WILL NOT CONSDIER REMOTE CANDIDATES!

Responsibilities

  • Design and implement integrated, scalable, efficient, and secure data systems for storing, processing, to support healthcare analytics and data driven decision making
  • Design and implement scalable, flexible, and secure interoperability solutions aligned to USCDI-US Core compliant
  • Develop and maintain data models (logical, physical and conceptual) that support healthcare-specific requirements (Clinical, Claims, Member, Provider, EHR etc.) and other data architecture artifacts
  • Evaluate and recommend data management technologies, platforms, frameworks, and methodologies that optimize data collection and integration for healthcare applications
  • Oversee the implementation of data governance policies to ensure data integrity, quality, security, and compliance and other relevant healthcare regulations to protect sensitive patient information with HIPAA standards
  • Ensure data architecture complies with healthcare regulations such as HIPAA, GDPR, and other privacy laws
  • Collaborate with Business data analysts, data scientists, IT Professionals and business leaders to understand their data needs and ensure architecture supports organizational goals
  • Optimize data storage solutions, reducing latency and ensuring quick access to real-time and historical data
  • Help to establish and enforce data governance frameworks, ensuing data consistency, quality, and standardization across systems
  • Stay updated on emerging technologies in healthcare data management
  • Propose innovative solutions to enhance data-driven decision-making
  • Provide training and guidance to other team members
     

Education and Experience

  • Bachelor’s degree in Computer Science or equivalent experience 
  • At least ten (10)+ years of experience in Data Architecture, preferably in the healthcare industry
  • At least five (5)+ years of experience with managing large-scale data systems in healthcare
  • At least five (5)+ years of experience in designing and implementing interoperability solutions in healthcare
  • Must have previous experience work for a healthcare MCO / Payer, or on the Provider side
  • At least five (5)+ years of experience in solutioning cloud data platforms (Azure, AWS, GCP, Databricks, Snowflake etc.)
  • Expertise in Data Architecture, databases, and cloud platforms (Azure, GCP, AWS etc.)
  • In-depth knowledge of healthcare interoperability standards (HL7, FHIR, CCDs, HIE, USCDI-US Core etc.)
  • Proficiency in SQL and NoSQL databases, PySpark and Python
  • Experience with data modeling tools like Erwin; experience with dimensional data modeling
  • Experience with integration tools like Azure Data Factory, Databricks, Kafka, IBM Datastage, Informatica etc
  • Understanding of business intelligence (BI) and analytics platforms
  • Experience with major EHR systems like Epic, Cerner etc. is plus
  • Candidates need to be independent thought leaders and able to self-direct
  • Possess expertise and sound foundation in data management techniques & principles
  • Hands on experience in end-to-end data processing is a must
  • Strong analytical and problem-solving skills
  • Excellent communication and interpersonal skills to collaborate with cross-functional teams
  • Ability to work independently and manage multiple priorities

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.

Your career starts now. We’re looking for the next generation of health care leaders.

At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.

Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.

Discover more about us at www.amerihealthcaritas.com.


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