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Postdoc Data Science Remote Jobs in Middle River, MD

CareFirst

Senior Data Engineer (Remote)

Baltimore, MD · Remote

$105K - $143K/yr

The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud ... Bachelor's Degree in Computer Science, Information Technology or Engineering or related field OR in ...

DCG

Social Scientist

Baltimore, MD · Remote

Who We Are DCG is an award-winning, full-service engagement, digital, research, and data company ... Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ...

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Postdoc Data Science Remote information

See Middle River, MD salary details

$54K

$63.9K

$121.1K

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

As of Aug 8, 2026, the average yearly pay for postdoc data science remote in Middle River, MD is $63,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $55,900.00 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?

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.
Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Middle River, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,869 per year, or $30.7 per hour.

Senior Engineer (Contingent Upon Award) (Remote)

Dalcom, LLC

Aberdeen Proving Ground, MD • Remote

$150K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Position: Senior Engineer

Company: Dalcom Engineering

Location: Remote (CONUS Travel Required)

Salary: $150,000 $225,000

Position Overview

Dalcom Engineering is seeking a Senior Engineer to provide technical leadership supporting engineering analysis, facility assessments, system design reviews, testing, and evaluation activities for mission-critical programs. In this role, you will lead technical efforts evaluating complex engineering systems, guide modernization assessments, and oversee engineering analyses supporting the U.S. defense industrial base and related infrastructure. The Senior Engineer will serve as a key technical authority responsible for developing engineering approaches, mentoring technical staff, and delivering engineering recommendations to support program decision-making.

This position is primarily remote but requires frequent travel to government installations and industrial production facilities throughout the Continental United States (CONUS), including ammunition manufacturing plants and modernization program locations. Travel is expected to range between 40% and 60% depending on project requirements. Limited international travel may occur depending on project requirements.

*This position is contingent upon award*

About Us

Founded in 1998, Dalcom Engineering is a HUBZone-certified small business committed to providing engineering solutions to the Government and private sectors. Through specializations in computer programming/software development, engineering modeling, and combat systems analysis, Dalcom Engineering takes pride in building and empowering teams that continue to grow with us.

Key Responsibilities

Serve as a primary contributor in the application of engineering and scientific principles to meet technical project requirements.

Lead the application of engineering and scientific principles to develop solutions addressing complex technical and operational challenges.

Develop engineering concepts, technical approaches, and implementation strategies supporting facility modernization and infrastructure improvement initiatives.

Lead engineering diagnostics and technical assessments of industrial production systems and related infrastructure.

Design and oversee testing strategies including development of test plans, data collection methodologies, and performance evaluation approaches.

Evaluate engineering data, system performance metrics, and operational conditions to identify technical risks and recommend solutions.

Monitor project technical progress and ensure engineering activities remain aligned with project objectives and applicable standards.

Provide technical leadership, mentoring, and guidance to engineering staff and multidisciplinary project teams.

Support engineering design reviews, modernization project evaluations, and technical working groups.

Author, review, and approve technical documentation including engineering studies, modernization assessments, system evaluations, and technical reports.

Qualifications / Desired Skills

Bachelor's degree in Engineering (Chemical/Process, Mechanical, Electrical, Civil, Environmental, or related discipline) or Computer Science with 15+ years of relevant engineering experience, or

Master's degree in a relevant scientific discipline with 5+ years of experience may be considered equivalent.

5+ years experience in managing a professional staff

Ability to obtain and maintain a SECRET Security Clearance

Experience leading engineering teams supporting complex technical programs or multi-disciplinary engineering efforts.

Experience applying probability, reliability, statistical analysis, sampling methods, and test and evaluation techniques.

Experience with engineering data collection, analysis, and performance assessment.

Familiarity with applicable engineering regulations, industry standards, and technical best practices.

Strong analytical, problem-solving, and technical documentation skills.

Experience supporting industrial production systems, defense manufacturing environments, or infrastructure modernization initiatives is highly desirable.

Relevant Engineering Disciplines

Candidates may possess expertise in one or more engineering disciplines relevant to industrial production systems, defense manufacturing infrastructure, and facility modernization initiatives:

Chemical / Process Engineering

Knowledge of chemical processes, kinetics, thermodynamics, and chemical unit operations.

Mechanical Engineering

Experience modeling mechanical systems and applying thermodynamics and mechanical design principles.

Electrical / Systems / Computer Engineering

Knowledge of electrical codes, control systems, and process control algorithms.

Civil Engineering

Familiarity with building codes, structural codes, and geotechnical sampling techniques.

Facilities Engineering

Experience supporting the design, construction, or modernization of industrial or chemical process facilities for government or commercial environments.

Piping Engineering

Experience in piping system design, specification, fabrication, installation, and start-up of stationary equipment and piping systems.
Quality Control Engineering

Familiarity with quality management methodologies such as Six Sigma, TQM, ISO 9000, or related quality frameworks.

What We Offer

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

    If you're driven by intellectually stimulating work, enjoy collaborating with talented peers, and thrive in a high-performing environment, then Dalcom may be for you.

    Dalcom logo

    About Dalcom

    Sourced by ZipRecruiter

    Industry

    Software development

    Company size

    11 - 50 Employees

    Headquarters location

    Greensboro, NC, US

    Year founded

    1997

    View All Dalcom Jobs