BCforward

Bioinformatics Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Data Engineer in San Diego, CA (hybrid), with a long-term contract. Requires 3+ years in data engineering/bioinformatics, proficiency in SQL, Python, and cloud platforms, plus a degree in a related field.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
568
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πŸ—“οΈ - Date
December 3, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Diego, CA
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🧠 - Skills detailed
#Data Engineering #Azure #Clustering #GCP (Google Cloud Platform) #R #Computer Science #Data Pipeline #SQL Queries #Data Science #Python #Complex Queries #C++ #AWS (Amazon Web Services) #Bash #SQL (Structured Query Language) #Scripting #Unix #Data Processing #Datasets #Databases #Cloud
Role description
BCforward is seeking a highly motivated Bioinformatics Data Engineer to support their pharmaceutical client in San Diego, CA. Expected Duration: Long Term Location: San Diego, CA/hybrid Overview: We are seeking a skilled Data Engineer to join our innovative drug discovery team. The ideal candidate will have a strong background in data engineering, particularly in handling biological data and supporting automated large-scale data processing. You will play a crucial role in managing and optimizing data workflows, ensuring efficient data processing, and contributing to groundbreaking research in the pharmaceutical industry. Key Responsibilities β€’ Design, implement, and maintain robust data pipelines for processing large-scale biological datasets. β€’ Optimize SQL queries for efficient data retrieval and manipulation from complex databases. β€’ Leverage high-performance computing resources to accelerate data processing tasks. β€’ Collaborate with biologists, chemists, and bioinformaticians to support analytical and biophysical assays. β€’ Utilize versioning tools to ensure reproducibility and traceability of data workflows. Qualifications β€’ Educational Background: Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Data Science, or a related field. Technical Skills: β€’ Proficiency in querying SQL databases and optimizing complex queries. β€’ Experience with high-performance computing environments (i.e. workload managers, unix, bash, etc.) and familiarity with cloud platforms (AWS, Azure, GCP) β€’ Strong scripting skills in one or more languages such as Python, R, C++, etc. β€’ Familiarity with open-source sequence databases like GenBank, UniProt, OAS, etc. β€’ Experience clustering biological sequence and/or structure data (UCLUST, BLASTClust, LinClust, sklearn.cluster, FoldSeek, etc.) Experience: β€’ At least 3 years of experience in data engineering or bioinformatics within a research or industry setting. β€’ Background in analytical and biophysical assays is highly advantageous. β€’ Strong analytical skills with attention to detail. β€’ Ability to work collaboratively in a multidisciplinary team environment. β€’ Excellent communication skills for conveying technical concepts to diverse audiences.