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Remote Pharma R&D Scientist Jobs (NOW HIRING)

R.D. Barnett PLLC

Client Service Coordinator

$18.50 - $24/hr

Remote with optional in-office access for Seattle-area employees Team: Tax Department Administration Salary: $58,000-68,000 depending upon experience About R.D. Barnett PLLC R.D. Barnett PLLC is a ...

Oura

Research Scientist

This is a deeply collaborative, R&D-oriented role that sits at the intersection of rigorous science and real-world product impact. You will work with large-scale, real-world biobehavioral data ...

Ōura

Research Scientist

This is a deeply collaborative, R&D-oriented role that sits at the intersection of rigorous science ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

BICO

Field Service Engineer - (Woburn, MA region)

$86K - $108K/yr

... R&D. - Travel up to 80% overnight as required. - Other duties as assigned. What We Are Looking For ... data to unlock scientific discoveryat scalein pharma and biotech. With 53,600+ instruments ...

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Remote Pharma R D Scientist information

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$50.5K

$130.1K

$174K

How much do remote pharma r&d scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote pharma r&d scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a remote pharma R&D scientist?

Remote Pharma R&D Scientists are professionals who conduct research and development activities for pharmaceutical companies while working remotely, often from their homes or off-site locations. They design and execute experiments, analyze data, and collaborate with other scientists to discover and develop new drugs or improve existing ones. Remote R&D scientists use digital collaboration tools to coordinate with teams, document findings, and ensure compliance with regulatory standards. This role requires a strong background in pharmaceutical sciences, excellent communication skills, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote pharma R&D scientist?

To thrive as a Remote Pharma R&D Scientist, you need a strong background in pharmaceutical sciences, research methodologies, and data analysis, typically supported by an advanced degree (M.S. or Ph.D.) in a life science field. Familiarity with laboratory information management systems (LIMS), statistical analysis software, and regulatory compliance tools is commonly required. Exceptional problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating remotely and managing independent research tasks. These skills and qualifications ensure rigorous scientific investigation, regulatory adherence, and seamless teamwork across distributed environments.

How does a remote pharma R&D scientist typically collaborate with cross-functional teams despite working offsite?

Remote Pharma R&D Scientists regularly engage with multidisciplinary teams such as regulatory affairs, clinical operations, and data management through virtual meetings, collaborative platforms, and shared research databases. Effective communication and project management tools are essential to ensure alignment on research objectives, timelines, and data integrity. Building strong relationships with colleagues remotely can be a challenge, but proactive communication and participation in virtual team activities help maintain connectivity and productivity.
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Remote Pharma R D Scientist jobs near you
Infographic showing various Remote Pharma R&D Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

R Programmer

CEDENT

Washington, DC • Remote

Contractor

Re-posted 3 days ago

Job description


Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for  research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
  • Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS.
  • Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
  • Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
  • Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
  • Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
  • Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
  • Participate in an on-call rotation for critical outages and issues
  • Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
  • Effective communication and technical skills
  • Develop & maintain technical documentation including system diagrams & operational procedures

Required qualifications:
  • 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
  • 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
  • 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
  • 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
  • Experienced in Data Exploration packages with Base R
  • Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
  • Ability to effectively communicate technical solutions to engineering teams and business audiences

Key Competencies:
  • Knowledgeable in the AWS Well Architected Framework
  • Strong analytical, organizational, problem-solving, and time-management skills
  • Strong communication (verbal and written) and listening skills.
  • Strong teamwork, planning, and coordination skills
  • Self-motivation, adaptability, and the ability to meet aggressive deadlines.
  • Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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