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Remote Pharma R&D Scientist Jobs in Pittsburgh, PA

D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Science Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

... life sciences environment, including pharma, biotech, medical device, or clinical * Experience ... This compensation range is specific to a remote role and takes into account the wide range of ...

... life sciences environment, including pharma, biotech, medical device, or clinical * Experience ... This compensation range is specific to a remote role and takes into account the wide range of ...

... life sciences environment, including pharma, biotech, medical device, or clinical * Experience ... This compensation range is specific to a remote role and takes into account the wide range of ...

Set your own hours and tutor as much as you'd like. * Tutor remotely using our purpose-built Live ... Deep knowledge of IUPAC nomenclature, functional groups, stereochemistry (chirality, R/S ...

... social science, or a related field * Strong understanding of survey research methodology ... Experience with R and RStudio, SQL, Snowflake or other cloud data warehouses (preferred)

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Showing results 1-20

Remote Pharma R D Scientist information

See Pittsburgh, PA salary details

$49K

$126.3K

$168.9K

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

As of Aug 29, 2026, the average yearly pay for remote pharma r&d scientist in Pittsburgh, PA is $126,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $168,000.00 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.

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

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

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

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

What cities near Pittsburgh, PA are hiring for Remote Pharma R&D Scientist jobs?

Cities near Pittsburgh, PA with the most Remote Pharma R&D Scientist job openings:

Infographic showing various Remote Pharma R&D Scientist job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,320 per year, or $60.7 per hour.

Clinical Data Scientist

RedSail Technologies, LLC

Warrendale, PA • On-site, Remote

$140K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Clinical Data ScientistJob Summary

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Pharma/Pharmacy/Healthcare experience.
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY