• 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 Scispot’s 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)

• 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.