About the jobJob DescriptionWe are seeking a Computational Biologist with extensive experience in AI and Machine Learning, and a background in biotech. The successful candidate will work with our data scientists and bioinformatics teams to design and implement ETL pipelines and computational frameworks, integrate and analyze genomic and transcriptomic datasets, and assist in the interpretation of gene expression data.Key ResponsibilitiesRun biotech RD pipelines as a data scientist or data engineerBuild ETL / ELT pipelinesWork with open-source Apache products such as Airflow, NifiEstablish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasetsDevelop analysis workflows for high-throughput DNA, and RNA sequencing dataIntegrate new pipelines with other components of tech stackAssist in the analysis and interpretation of gene expression dataWork with scientists to leverage Bioinformatics datasets and assist in efforts of target assessmentCollaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the resultsRecommend cleansing and transformation rules required to make the datasets ready for AI/MLExperience in data governance modelingExperience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)Required Qualifications And ExperienceCurrently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related fieldDemonstrated expertise in R, Python, and building complex code in a collaborative environmentExperience supporting and working with cross-functional teams in a dynamic environmentExperience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)Proficiency in biological database management and the use of bioinformatics tools and softwareExtensive knowledge in applying machine learning and statistical modeling to biological datasetsProficiency in processing and analyzing high dimensional biological dataFamiliarity with public biological data sources and repositoriesExperience with biological data standards, ontologies, and metadataFamiliarity with cloud-based data storage and analysis solutions is preferredStrong analytical skills related to working with large diverse datasetsA demonstrated ability to find creative and functional solutions to complicated problemsExcellent documentation skills with impeccable attention to detailExceptional communication skills and the ability to express complex ideas in understandable waysStrong critical thinking skills and the ability to handle ambiguity in data analysisProven track record of publishing relevant work in high-impact journals is preferredIf 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 use the below link for job application and quicker response.