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Remote Pharma R&D Scientist Jobs in Missouri (NOW HIRING)

Jobgether

... world scientific impact. This fully remote opportunity offers strong ownership, technical ... Develop and maintain R-based solutions for statistical programming, data analysis, visualization ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have proficiency in R or Python * Must be committed to incorporating security into all ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have proficiency in R or Python * Must be committed to incorporating security into all ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · Remote

Team members who choose virtual / remote work should have an adequate space to serve as their home ... Must have proficiency in R or Python * Must be committed to incorporating security into all ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse ...

Reiser

Bakery Specialist Central USA

Saint Louis, MO · On-site +1

... R+D of bakery applications and products. • Coordinate with Bakery Technicians to successfully ... relating to Bakery Science or Pastry Arts or American Institute of Baking Certification or ...

D.W. Simpson

Actuary Manager - Remote

Saint Louis, MO · On-site +1

$211K/yr

Exposure to Python or R would be a plus. (#58723) Compensation: * Salary range of $160-211K Locations: * Remote * St Louis, MO Meet Your Recruiter Arturo Aguilera Director, Social Media & Marketing ...

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Remote Pharma R D Scientist information

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.

What are the most commonly searched types of Pharma R&D Scientist jobs in Missouri?

The most popular types of Pharma R&D Scientist jobs in Missouri are:

What are popular job titles related to Remote Pharma R&D Scientist jobs in Missouri?

For Remote Pharma R&D Scientist jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Pharma R&D Scientist jobs in Missouri look for?

The top searched job categories for Remote Pharma R&D Scientist jobs in Missouri are:

What cities in Missouri are hiring for Remote Pharma R&D Scientist jobs?

Cities in Missouri with the most Remote Pharma R&D Scientist job openings:

Remote Pharma R D Scientist jobs near you
Infographic showing various Remote Pharma R&D Scientist job openings in Missouri as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution.

R Developer with Bio Background

Jobgether

On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Bio Background based in Netherlands.

Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to impactful solutions across drug discovery and clinical research. In this role, you will design and develop data-driven applications that help scientists and researchers make better decisions using complex biological and clinical data. You will combine software engineering skills with domain knowledge in bioinformatics, clinical workflows, and regulated environments. Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers strong ownership, technical challenges, and the chance to grow within a collaborative, innovation-focused environment.

Accountabilities
  • Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects.
  • Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets.
  • Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards.
  • Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions.
  • Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions.
  • Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency.
  • Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis.
Requirements
  • Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development.
  • Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains.
  • Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices.
  • Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes.
  • Knowledge of validation principles and working practices within GxP-regulated environments.
  • Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows.
  • Familiarity with Git or other version control systems and modern software development practices.
  • Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams.
  • Master's degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience.
  • Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage.
  • Ability to work effectively in a remote international environment and communicate clearly in English.
Benefits
  • Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.
  • Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making.
  • High level of technical ownership with opportunities to design and evolve impactful data applications.
  • Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals.
  • Competitive B2B compensation aligned with experience and career level.
  • Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives.
  • Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving.
  • Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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