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Postdoc Data Science Remote Jobs in Puerto Rico (NOW HIRING)

Experience in pharmaceutical or life sciences manufacturing (GxP awareness, batch process ... Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... or data scientists Experience contributing to research papers Important: Preferably no known ...

... remote role . In this role, you will have the opportunity to: - Providing technical and scientific ... high dimensional data (like tSNE, CITRUS, FlowSOM, Parade and other) will be beneficial ...

This is a remote position, with preference for candidates to be located in a major metro city in ... Partner with senior leadership on FICO strategy, data integrity, internal controls, and roadmap ...

Postdoc Data Science Remote information

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 Puerto Rico? For Postdoc Data Science Remote jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Postdoc Data Science Remote jobs in Puerto Rico look for? The top searched job categories for Postdoc Data Science Remote jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Postdoc Data Science Remote jobs? Cities in Puerto Rico with the most Postdoc Data Science Remote job openings:
Infographic showing various Postdoc Data Science Remote job openings in Puerto Rico as of May 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
OT Technical Lead - Connected Factory / Digital Manufacturing- Life Science(Remote)

OT Technical Lead - Connected Factory / Digital Manufacturing- Life Science(Remote)

Cognizant Technology Solutions

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

OT Technical Lead - Connected Factory / Digital Manufacturing
Role Overview
The OT Technical Lead is a delivery-focused engineering leader embedded within a Delivery POD on the Connected Factory Digital Innovation program. This program operates as a structured PoC incubation model. The Technical Lead is responsible for the end-to-end technical execution of individual Proof of Concept (PoC) engagements, working within an agile sprint cadence under the governance of a senior Core Team.
The role requires hands-on engineering depth across OT/IIoT platforms, combined with the ability to communicate clearly with both manufacturing stakeholders and IT architecture peers. This is not a purely supervisory role-the Technical Lead is expected to work directly on technical tasks, particularly during ambiguous or first-of-a-kind problem-solving phases.
Key Responsibilities
  • Lead the technical execution of assigned PoC Delivery PODs from Initiate through Execute stages, including backlog ownership, sprint planning, and release readiness
  • Perform hands-on configuration, integration, and validation across OT platforms, including Ignition, OSI PI, OPC UA, and shopfloor integration tooling (HighByte or similar UNS/SIL platforms)
  • Drive daily technical unblocking for POD members; escalate architectural decisions to the Core Team with well-formed solution options-not just problem statements
  • Participate in architecture scoping and T-shirt sizing exercises during the Evaluate stage, providing technical feasibility and risk input
  • Produce and maintain technical documentation, including implementation plans, integration diagrams, test evidence, and PoC handover materials
  • Support PoC post-mortem documentation (Stage 5 - Analyze), including success criteria scoring and structured knowledge transfer
  • Operate within a GxP-adjacent lab environment; understand documentation and traceability expectations, even where formal validation is not required

Required Skills & Experience
  • 3-6 years of hands-on OT/IIoT engineering experience in a manufacturing or life sciences environment
  • Demonstrated experience with Ignition SCADA, including configuration, module deployment, and OPC UA connectivity
  • Working knowledge of OSI PI Historian and Asset Framework (AF) structure design
  • Familiarity with OPC UA communication protocols, certificate trust management, and server/client integration patterns
  • Experience with agile delivery in an OT or hybrid OT/IT context, including sprint ceremonies, backlog management, and iterative PoC delivery
  • Ability to work independently in a lab environment with limited supervision; comfort with ambiguity and first-of-a-kind technical challenges

Preferred / Advantageous
  • Exposure to HighByte Intelligence Hub, Kepware, or equivalent Unified Namespace (UNS) / SIL tooling
  • Experience in pharmaceutical or life sciences manufacturing (GxP awareness, batch process understanding)
  • Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms
  • Containerization experience (Docker / Mirantis) for OT application deployment
  • Exposure to MES/EBR platforms (e.g., POMSnet) and shopfloor-to-historian data flows

Working Model
The Technical Lead operates within a Delivery POD of 2-6 people (size determined per PoC T-shirt sizing). They report into the program Core Team and are expected to participate in daily standups, bi-weekly sprint reviews, and regular Core Team syncs. Multiple sequential PoC engagements are expected across the contract duration.
Mandatory Skills
Skill Proficiency
Years of Experience
Basic Knowledge
Medium
Expert
Ignition SCADA
(Configuration, WebDev, Jython, Gateway)
3+
• Min.
• Preferred
AWS
(PrivateLink, EC2, Availability Zones)
3+
• Min.
• Preferred
Demonstrable Programming Capability
(Python, dotnet, other)
5+
• Min.
• Preferred
Agile Delivery in OT/IT
(Sprint Execution, backlog management, PoC delivery)
2+
• Min.
• Preferred
Shopfloor Integration / UNS
(OSI-PI, HighByte, Kepware, or equivalent device/controller integration experience)
2+
• Min.
• Preferred
DevOps & CI/CD Tooling
(Jira, GitHub, Jenkins, Github Actions, Azure Pipelines, etc.)
3+
• Min.
• Preferred
Regulated Manufacturing Experience
(GxP, 21 CFR Part 11, Purdue Model, ISA 88, ISA 95)
5+
• Min.
• Preferred
Experience leading solution architecture design
(IT / OT diagraming, customer presentations, SoW development, etc.)
5+
• Min.
• Preferred
Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Salary and Other Compensation:
Applications will be accepted until May 4 30th 2026.
The annual salary for this position is between $ 100,000 K -$ 132,500 K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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