DigiTran Technologies Inc.
Scientific Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Scientific Data Analyst with a contract length of "unknown." The pay rate is "unknown," and the work location is "unknown." Requires a Ph.D. in a relevant field, 4+ years of experience, programming skills, and excellent communication abilities.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Management #Mathematics #Data Analysis #Computer Science #AI (Artificial Intelligence) #Programming #ML (Machine Learning) #Statistics #Quality Assurance #Data Science
Role description
Note: We are looking for "Scientific Data Analyst"
Education : PhD/4 Years or MS/8 Years
Required:
Ph.D. in bioinformatics, mathematics, statistics, computational linguistics, computer science, data science, or other relevant field and 4+ years of professional experience
Capable of fundamental programming for data analysis, survey data analysis, and data management
Providing quality assurance on deliverables and timely delivery
Excellent verbal and written communications skills
Preferred:
Experience in NAMs or a related scientific field
Experience with data development and analysis for modeling methods
Familiarity with data analysis related to biology/toxicology modeling and AI approaches (e.g., ML, expert systems, computer vision)
Experience using PowerBI or equivalent to maintain data dashboards
Note: We are looking for "Scientific Data Analyst"
Education : PhD/4 Years or MS/8 Years
Required:
Ph.D. in bioinformatics, mathematics, statistics, computational linguistics, computer science, data science, or other relevant field and 4+ years of professional experience
Capable of fundamental programming for data analysis, survey data analysis, and data management
Providing quality assurance on deliverables and timely delivery
Excellent verbal and written communications skills
Preferred:
Experience in NAMs or a related scientific field
Experience with data development and analysis for modeling methods
Familiarity with data analysis related to biology/toxicology modeling and AI approaches (e.g., ML, expert systems, computer vision)
Experience using PowerBI or equivalent to maintain data dashboards
