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Remote Pharmaceutical Data Scientist Jobs in Spring, TX

Data Scientist

Houston, TX ยท On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Expert - Remote

Houston, TX ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Clinical Affairs Scientist

Houston, TX ยท On-site +1

$105K - $197K/yr

The candidate will work directly with pharmaceutical partners, R&D scientists, Clinical Trial ... Design and develop databases, Electronic Data Capture (EDC) systems, and case report forms.

New

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

AI Consulting Expert - Remote

Houston, TX ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

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Showing results 1-20

Remote Pharmaceutical Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do remote pharmaceutical data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote pharmaceutical data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote pharmaceutical data scientist?

Remote Pharmaceutical Data Scientists are professionals who analyze and interpret complex pharmaceutical data while working from a location outside of a traditional office or laboratory setting. They use statistical methods, machine learning, and data analytics to support drug discovery, clinical trials, and regulatory submissions. By working remotely, they leverage digital tools to collaborate with research teams, manage large datasets, and generate actionable insights that accelerate pharmaceutical research and development. Their work is essential in making data-driven decisions that improve the safety and efficacy of drugs.

How does a remote pharmaceutical data scientist typically collaborate with cross-functional teams despite working off-site?

As a Remote Pharmaceutical Data Scientist, you will frequently collaborate with clinical researchers, statisticians, and regulatory professionals through virtual meetings, shared digital workspaces, and cloud-based data platforms. Effective communication and proactive project management are essential, as you'll often be responsible for translating complex data insights for non-technical stakeholders. Regular check-ins and well-documented workflows help ensure alignment on project goals, timelines, and deliverables, supporting a cohesive team environment despite physical distance.

What are the key skills and qualifications needed to thrive as a remote pharmaceutical data scientist, and why are they important?

To thrive as a Remote Pharmaceutical Data Scientist, you need strong expertise in statistics, data analysis, pharmaceutical sciences, and a relevant degree such as in data science, biostatistics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of industry-specific software such as SAS or SQL are typical technical requirements. Excellent problem-solving, communication, and collaboration skills are crucial for interpreting complex data and working effectively with cross-functional teams in a virtual environment. These skills are essential to ensure accurate data-driven decisions that advance drug development and regulatory compliance.

What is the difference between Remote Pharmaceutical Data Scientist vs Remote Pharmaceutical Data Analyst?

AspectRemote Pharmaceutical Data ScientistRemote Pharmaceutical Data Analyst
Required CredentialsAdvanced degrees (Master's/PhD), statistical and programming skillsBachelor's or Master's, data analysis and reporting skills
Work EnvironmentCollaborates with R&D, clinical, and regulatory teams; often involved in modelingSupports clinical trials, market analysis, and reporting tasks
Employer & Industry UsagePharmaceutical companies, biotech firms, research institutionsPharmaceutical companies, healthcare analytics firms, CROs

While both roles involve data handling within the pharmaceutical industry, Remote Pharmaceutical Data Scientists focus on advanced modeling, machine learning, and research-driven analysis, requiring higher technical credentials. Remote Pharmaceutical Data Analysts primarily handle data reporting, visualization, and supporting clinical or market insights. The roles often overlap but differ in complexity and scope.

What are popular job titles related to Remote Pharmaceutical Data Scientist jobs in Spring, TX?

For Remote Pharmaceutical Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Remote Pharmaceutical Data Scientist jobs in Spring, TX look for?

The top searched job categories for Remote Pharmaceutical Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Remote Pharmaceutical Data Scientist jobs?

Cities near Spring, TX with the most Remote Pharmaceutical Data Scientist job openings:

Data Scientist - Remote

NAVA Software Solutions

Houston, TX โ€ข On-site, Remote

Full-time

Re-posted 20 days ago


Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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