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Postdoc Data Science Remote Jobs in Portland, OR

SSH and remote access tooling to manage and diagnose infrastructure in hybrid and cloud ... Data, Integrations & APIs * REST and GraphQL APIs - interacting with platforms, extracting and ...

Performing data review and resolution of queries to maintain high-quality clinical data ... Bachelor's degree in a scientific or health-related field or an equivalent combination of education ...

CRA II and Senior CRA

Portland, OR · Remote

$91K - $114K/yr

Performing data review and resolution of queries to maintain high-quality clinical data ... Bachelor's degree in a scientific or health-related field or an equivalent combination of education ...

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Postdoc Data Science Remote information

See Portland, OR salary details

$61K

$72.2K

$136.8K

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

As of Jul 16, 2026, the average yearly pay for postdoc data science remote in Portland, OR is $72,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $63,100.00 per year, depending on experience, location, and employer.

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 is a Postdoc Data Science Remote position?

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, and why are they important?

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 are popular job titles related to Postdoc Data Science Remote jobs in Portland, OR? For Postdoc Data Science Remote jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Portland, OR look for? The top searched job categories for Postdoc Data Science Remote jobs in Portland, OR are:
​​Sr Cloud & Infrastructure Engineer​

​​Sr Cloud & Infrastructure Engineer​

Moda Health

Portland, OR • Remote

$93K - $121K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Moda Health rating

8.5

Company rating: 8.5 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

90th of 281 rated insurance


Job description

Let’s do great things, together!

About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.


Position Summary
The Sr Cloud & Infrastructure Engineer is a senior-level individual contributor responsible for engineering and supporting Moda’s hybrid infrastructure services. These services span network connectivity, enterprise voice and telecommunications, and data center engineering and operations. This role ensures secure, reliable, and resilient services across on-premises data centers, colocation environments, and cloud-connected infrastructure. Key responsibilities include monitoring, incident response, disaster recovery, and maintaining operational readiness. The position also includes minor oversight of power and space management for data centers and remote facilities to maintain uptime for mission-critical systems. This is a FT hybrid position based in Portland, Oregon. 


Pay Range
$93,829.88 - $121,982.98 annually (depending on experience)
*This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.


Please fill out an application on our company page, linked below, to be considered for this position.

https://j.brt.mv/jb.do?reqGK=27770304&refresh=true


Benefits:

  • Medical, Dental, Vision, Pharmacy, Life, & Disability
  • 401K- Matching
  • FSA
  • Employee Assistance Program
  • PTO and Company Paid Holidays


Required Skills, Experience & Education:

  1. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.  
  2. 6–8 years in a senior infrastructure/network systems role within a medium to large enterprise environment.  
  3. Strong understanding of networking, Windows server environments, and infrastructure fundamentals; able to diagnose performance and reliability issues using appropriate tools and methods.  
  4. Experience with enterprise platforms including Microsoft Admin Center, Teams, Exchange, SharePoint, Active Directory/LDAP/Azure Entra ID, firewalls, file systems, networks (Juniper), VPN, virtualization (Nutanix, VMware), and remote access (Citrix).  
  5. Working knowledge of data center operations, including coordination with power, cooling, space constraints, and vendor/colocation processes.  
  6. Working knowledge of enterprise voice, telecommunications, and UCaaS systems, and the operational practices required to sustain reliable service across multiple sites.  
  7. Demonstrated ability to solve problems quickly, automate processes, and work under pressure with frequent interruptions and shifting priorities.  
  8. Strong verbal, written, and interpersonal communication skills; able to document clearly and coordinate across teams and vendors.  
  9. Ability to travel infrequently as needed. 
  10. Ability to lift 20 lbs. 

Primary Functions:

  1. Design, implement, and troubleshoot network and infrastructure architectures, including LAN/WAN, secure remote access, and connections between on-premises and cloud services. 
  2. Partner with architecture, engineering, and administration teams to implement and sustain secure connectivity patterns (private connectivity, segmented networks, routing/firewall integration, and service dependencies). 
  3. Optimize Windows server and infrastructure environments to surpass service-level expectations and improve reliability and performance. 
  4. Use observability tools to isolate weaknesses, analyze trends, and provide actionable metrics. 
  5. Maintain accurate technical documentation and improve procedures to meet or exceed audit requirements. 
  6. Plan and execute maintenance activities (patching, upgrades, lifecycle updates), coordinate implementation windows, and validate service health post-change. 
  7. Develop and maintain automation scripts (PowerShell, Python) to reduce manual effort and improve consistency. 
  8. Support enterprise backup, monitoring, and storage readiness by coordinating with platform owners and ensuring cross-team dependencies during incidents and maintenance events. 
  9. Engineer and support enterprise voice and telecom services (UCaaS integrations, Microsoft Teams). 
  10. Partner with stakeholders to gather requirements, deliver voice and telecom improvements, and evaluate platforms and vendor solutions, providing recommendations aligned with enterprise standards. 
  11. Design cabling infrastructure to support primary, remote, and data center facilities. 
  12. Provide hands-on support for data center environments, including rack/stack, cabling and cross-connect coordination, hardware troubleshooting, and vendor engagement. 
  13. Coordinate data center operational dependencies (power, cooling, space, physical access, and maintenance windows) in partnership with facilities, colocation providers, and internal stakeholders. 
  14. Assist with capacity and resiliency planning by identifying power/space constraints, raising risks early, and recommending practical mitigations. 
  15. Provide senior-level technical guidance and mentorship to peers and junior staff; collaborate effectively with architecture, engineering, security, and external vendors. 
  16. Participate in 7x24 on-call rotation for critical incidents and supporting time-sensitive operational events. 
  17. Perform other duties as assigned. 

Working Conditions:

  • Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need. Available for on-call and critical response team work.  
  • Internally with all departments including senior executives. Externally with vendors and various stakeholders. 

Together, we can be more. We can be better.
 ​​​​​​
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training. 
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.


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