RedSail Technologies

Clinical Data Scientist

RedSail Technologies • $90K — $120K *
Irving, TX 75061In-Person
Pharmaceuticals & Biotech
Less than 5 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Data Engineering, or related field; Doctor of Pharmacy with data credentials is acceptable.
  • Experience in pharma, pharmacy, or healthcare industry.
  • Proficiency in SQL scripting for data management.
  • Skill in data visualization tools such as PowerBI and Tableau.
  • Strong analytical and problem-solving abilities; must be inquisitive and detail-oriented.
  • Ability to work independently as well as part of a team with diverse working styles.
  • Familiarity with transforming complex data into concise datasets.

Responsibilities

  • Gather data from various sources, including databases and APIs.
  • Clean data to ensure accuracy and reliability before analysis.
  • Conduct exploratory data analysis to identify trends and insights.
  • Transform data into suitable formats for further analysis.
  • Create visual representations of data for effective communication.
  • Apply statistical methods to analyze and interpret data relationships.
  • Present findings and recommendations to stakeholders effectively.

Benefits

  • Hybrid work environment with options for home office or approved remote workspace.
  • Access to ongoing training and development in data science tools and methodologies.
  • Collaborative workspace that encourages interaction with domain experts and diverse teams.
  • Opportunity to work on impactful programs that align with healthcare objectives.
Full Job Description
Clinical Data Scientist

Job Summary

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.


Work Location

  • Hybrid RedSail Office


About RedSail Technologies

RedSail Technologies is a software development company that specializes in creating custom software solutions for businesses. The company offers a range of services, including software development, web development, and mobile app development. RedSail Technologies has worked with a variety of clients, including small businesses and Fortune 500 companies. The company is headquartered in Oxnard, California.
Learn more about RedSail Technologies
Size
200 employees
Industry
Information Technology
Net Income
$500,000
Founded
2005
5 Year Trend
+20%
Revenue
$5 million
* Ladders Estimates

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