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Phd Stem Remote Jobs (NOW HIRING)

$76K - $115K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Doctoral degree (PhD) in a STEM field * Experience in technology transfer, research ...

None Potential for Remote Work: ORA_ON_SITE Description ?SAIC is seeking an experienced Electrical ... STEM Bachelors and nine (9) years or more experience; Masters and seven (7) years or more ...

Senior Field Engineer - Quantum Security

$117K - $160K/yr

This position can work onsite or hybrid from one of our offices or fully remote. Travel: Up to 20 ... Masters or PhD in a STEM field, perhaps adjacent to quantum computing, security, or cryptography.

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a Ground Systems ... PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of ...

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Phd Stem Remote information

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$24

$43

$82

How much do phd stem remote jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for phd stem remote in the United States is $43.55, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $44.23 per hour, depending on experience, location, and employer.

What is the difference between Phd Stem Remote vs Data Scientist?

AspectPhd Stem RemoteData Scientist
Required credentialsPhD in STEM field, advanced research skillsBachelor's or Master's in CS, Statistics, or related field; some roles prefer PhD
Work environmentRemote, research-focused, collaborativeRemote or on-site, data analysis, modeling, cross-functional teams
Employer and industry usageUniversities, research institutions, tech companiesTech firms, finance, healthcare, consulting
Search and comparison intentResearch roles requiring advanced STEM expertiseData analysis and modeling roles in industry

While both roles often require strong STEM backgrounds, Phd Stem Remote positions focus on research and academic or R&D projects, whereas Data Scientists apply data analysis skills to solve business problems. The choice depends on your career goals—research-oriented or industry-focused.

What are some common challenges faced by PhD STEM professionals working in remote positions, and how can they be addressed?

Remote PhD STEM roles often require independent project management and effective virtual collaboration, which can be challenging without face-to-face interaction. Maintaining clear communication with team members across different time zones and ensuring access to specialized equipment or data can also present obstacles. To address these challenges, it’s important to leverage collaborative tools, schedule regular virtual check-ins, and proactively communicate progress or roadblocks. Additionally, establishing a dedicated workspace and structured daily routine can help maintain productivity and work-life balance.

What are the key skills and qualifications needed to thrive as a remote PhD-level STEM professional, and why are they important?

To thrive as a remote PhD STEM professional, you generally need deep subject matter expertise, strong research and analytical abilities, and an earned doctorate in a STEM field. Familiarity with specialized software (such as MATLAB, Python, or R), data analysis tools, and online collaboration platforms is typically required. Exceptional self-motivation, time management, and clear communication skills are crucial for independently driving projects and collaborating remotely. These skills and qualities ensure effective research output, seamless virtual teamwork, and career success in a remote STEM environment.

What are PhD STEM remote jobs?

PhD STEM remote jobs are positions that require a doctoral degree in science, technology, engineering, or mathematics and can be performed entirely or primarily from a remote location. These roles may include research, data analysis, teaching, consulting, or development work for universities, private companies, or research institutions. Remote PhD STEM jobs offer flexibility and can be found in areas such as data science, software engineering, scientific writing, and online education. Employers often seek candidates with specialized skills, a strong research background, and the ability to work independently. Opportunities are expanding as more organizations embrace remote work for highly skilled professionals.

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US (Remote)

Aimpoint Digital

Atlanta, GA • Remote

Full-time

Posted 19 days ago


Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.