SGS Consulting

Bioinformatics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Engineer, offering a contract of unspecified length with a pay rate of "unknown." Candidates should have an M.S. in a technical field, R programming expertise, and experience in the pharmaceutical or healthcare industry.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
416
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🗓️ - Date
October 7, 2025
🕒 - Duration
Unknown
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🏝️ - 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
#R #Version Control #AWS (Amazon Web Services) #Azure #Data Engineering #GIT #Cloud #Airflow #SQL (Structured Query Language) #Base #"ETL (Extract #Transform #Load)" #Programming #GitHub #Python #Linux #Computer Science
Role description
SUMMARY: Our client is seeking a Senior Software Developer to develop and maintain an internal R package and to develop R-based ETL scripts for basic data engineering and QC of biomarker data. RESPONSIBILITIES: • Contribute and expand functionality to our internally developed R package. Coordinate with coworkers to ensure compatibility within code base. • Test, debug and document software applications. Commit changes to git-based source version control. • Consult with users and stakeholders to ensure that requirements are met. • Effectively communicate technical ideas to colleagues across functions and domains. • Analyze data specification documents, design logic, and write coded ETL scripts in the R programming language. • Maintain and ensure that ETL pipelines run as expected. SKILLS: Hard Skills: • R programming • Pharma, Health Care Data Familiarity • Attention to Details • Communication (articulate status of project) Preferred Skills: • Linux • Git and GitHub QUALIFICATIONS: • M.S. or equivalent in a technical field such as computer science, computer engineering or related field required. • 1 year or more of software development work experience. • Prior experience within the pharmaceutical, healthcare, or a related life sciences industry. • Fluency in the R programming environment and a comfort working in Linux. • Proficient in good coding/software development best practices and the use of Git/GitHub. • Python and SQL coding knowledge to support adjacent QC responsibilities. • Be flexible and thrive in an evolving environment. • Adapt to change quickly and adjust work accordingly in a positive manner. • Excellent listening, time management, organizational, teamwork and interpersonal skills. PREFERRED QUALIFICATIONS • Familiarity with workflow languages such as Airflow/Nextflow/Snakemake/CWL. • Experience with cloud computing environments (AWS or Azure). • Use of CI/CD integrations with GitHub.