Bioinformatics Data Engineer
5 days ago
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
- Design, implement, and maintain robust data pipelines for processing large-scale biological datasets.
- Optimize SQL queries for efficient data retrieval and manipulation from complex databases.
- Leverage high-performance computing resources to accelerate data processing tasks.
- Collaborate with biologists, chemists, and bioinformaticians to support analytical and biophysical assays.
- Utilize versioning tools to ensure reproducibility and traceability of data workflows.
Qualifications
- Educational Background: Bachelor's or Master's degree in Computer Science, Bioinformatics, Data Science, or a related field.
Technical Skills:
- Proficiency in querying SQL databases and optimizing complex queries.
- Experience with high-performance computing environments (i.e. workload managers, unix, bash, etc.) and familiarity with cloud platforms (AWS, Azure, GCP)
- Strong scripting skills in one or more languages such as Python, R, C++, etc.
- Familiarity with open-source sequence databases like GenBank, UniProt, OAS, etc.
- Experience clustering biological sequence and/or structure data (UCLUST, BLASTClust, LinClust, sklearn.cluster, FoldSeek, etc.)
Experience:
- At least 3 years of experience in data engineering or bioinformatics within a research or industry setting.
- Background in analytical and biophysical assays is highly advantageous.
- Strong analytical skills with attention to detail.
- Ability to work collaboratively in a multidisciplinary team environment.
- Excellent communication skills for conveying technical concepts to diverse audiences.
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