Computational Biologist (Ai/Ml + Bio Background)

About Scispot

Scispot is a trailblazing company developing the world's best and first data infrastructure for lifescience companies. We work at the intersection of biotech, AI, and ML to enable innovation and advancement in the life sciences industry.

• We 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 Responsibilities

• Build ETL / ELT pipelines
• Develop analysis workflows for high-throughput DNA, and RNA sequencing data
• Collaborate with wet-lab scientists, data scientists, and bioinformaticians to design experiments, analyze data, and interpret the results
• Work with scientists to leverage Bioinformatics datasets and assist in efforts of target assessment
• Assist in the analysis and interpretation of gene expression data
• Run biotech R&D pipelines as a data scientist or data engineer
• Integrate new pipelines with other components of Scispot’s tech stack
• Recommend cleansing and transformation rules required to make the datasets ready for AI/ML
• Experience working with HTS Omics sequencing data (Eg: RNAseq, scRNAseq, ISLAND, WES)
• Work with open-source Apache products such as Airflow, Nifi
• Establish computational frameworks for integrating, accessing, and analyzing genomic and transcriptomic datasets
• Experience in data governance modeling

Required Qualifications And Experience

• Experience working with high-throughput sequencing data (RNAseq, scRNAseq, WES)
• Demonstrated expertise in R, Python, and building complex code in a collaborative environment
• Exceptional communication skills and the ability to express complex ideas in understandable ways
• Proficiency in processing and analyzing high dimensional biological data
• Proficiency in biological database management and the use of bioinformatics tools and software
• A demonstrated ability to find creative and functional solutions to complicated problems
• Strong analytical skills related to working with large diverse datasets
• 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.
• Strong critical thinking skills and the ability to handle ambiguity in data analysis
• Familiarity with cloud-based data storage and analysis solutions is preferred
• Familiarity with public biological data sources and repositories
• Extensive knowledge in applying machine learning and statistical modeling to biological datasets
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with biological data standards, ontologies, and metadata
• Currently pursuing PhD or MSc in Bioinformatics, Computational Biology, or a related field
• Excellent documentation skills with impeccable attention to detail