Top 42702 Python Jobs

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- Hybrid work
- Computer Science
- HIPAA
- Office
- Health insurance
- Dental insurance
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Scientist, Bioinformatics
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Research Assistant (Computer Science)
Johns Hopkins University —Baltimore, MD
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- Part-time
- Background check
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Remote Python Developer
LookFar Labs —Washington, DC
- $95,000 - $125,000 a year
- Full-time
- Remote
- Bachelor of Science
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- 3 years
- Health insurance
- Dental insurance
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Neuroengineer, Next Gen
Neuralink —San Francisco, CA
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- Full-time
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LivaNova —Remote
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- Full-time
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- Mid-level
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Clinical Data Scientist

RedSail Technologies, LLC -
Spartanburg, SC

Apply Now

Job Details

$130,000 - $160,000 a year

Benefits

Health insurance
Dental insurance
Paid time off
401(k) 5% Match
Vision insurance
401(k) matching

Qualifications

Data visualization software proficiency
Reporting and dashboarding tools
SQL
Business intelligence tools
Data-driven problem-solving
Cross-functional collaboration
Data analysis software
Database software proficiency

Full Job Description

Clinical Data Scientist

Job Summary

The RedSail Technologies Network Services Business Unit 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.

Salary Range

$130,000-$160,000

Work Location

RedSail Office Hybrid

Benefits Include: PTO, 401k (5%) Match, Bonus Opportunities, Medical/Dental/Vision Insurance, Work-life balance, Health Clinic, Fitness Bonus and Professional Development.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

Apply Now

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