Key Responsibilities
- Run biotech RD pipelines as a data scientist or data engineer
- Build ETL / ELT pipelines
- Work with open-source Apache products such as Airflow, Nifi
- Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets
- Develop analysis workflows for high-throughput DNA, and RNA sequencing data
- Integrate new pipelines with other components of Scispots tech stack
- Assist in the analysis and interpretation of gene expression data
- Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment
- Collaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the results
- Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
- Experience in data governance modeling Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)
Required Qualifications And Experience
- Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related field
- Demonstrated expertise in R, Python, and building complex code in a collaborative environment
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)
- Proficiency in biological database management and the use of bioinformatics tools and software
- Extensive knowledge in applying machine learning and statistical modeling to biological datasets
- Proficiency in processing and analyzing high dimensional biological data
- Familiarity with public biological data sources and repositories
- Experience with biological data standards, ontologies, and metadata
- Familiarity with cloud-based data storage and analysis solutions is preferred
- Strong analytical skills related to working with large diverse datasets
- A demonstrated ability to find creative and functional solutions to complicated problems
- Excellent documentation skills with impeccable attention to detail
- Exceptional communication skills and the ability to express complex ideas in understandable ways
- Strong critical thinking skills and the ability to handle ambiguity in data analysis
- Proven track record of publishing relevant work in high-impact journals is preferred
- If you are passionate about contributing to groundbreaking work in the life sciences and enjoy working in a fast-paced, innovative environment, we would love to hear from you.
Please apply on the Lifelancer website at the below link for screening steps & quicker response.
https://lifelancer.com/jobs/view/f5ba9c4da3ac33d3c6d10832934b6e5c